451 Summarization Jobs - Page 13

Job Description: About Us At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities, and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us! Global Business Services Global Business Services delivers Technology and Operations capabilities to Lines of Business and Staff Support Functions of Bank of America through a centrally managed, globally integrated delivery model and globally resilient operations. Global Business Services is recognized for flawless execution, sound risk management, operational resiliency, operational excellence, and innovation. In India, we are present in five locations and operate as BA Continuum India Private Limited (BACI), a non-banking subsidiary of Bank of America Corporation and the operating company for India operations of Global Business Services. Process Overview* Global Finance was set up in 2007 as a part of the CFO Global Delivery strategy to provide offshore delivery to Line of Business and Enterprise Finance functions. The capabilities hosted include Legal Entity Controllership, General Accounting & Reconciliations, Regulatory Reporting, Operational Risk and Control Oversight, Finance Systems Support, etc. Our group supports the Finance function for the Consumer Banking, Wealth and Investment Management business teams across Financial Planning and Analysis, period end close, management reporting and data analysis. Job Description* The candidate will be responsible for delivering complex and time critical data mining and analytical projects for the Consumer & Small Business Banking products, credit lending products such as Credit Cards and in addition will be responsible for data & business analysis for decision making by onshore line of business. Candidate will be responsible for ETL related data activities, data management, data extraction & summarization, data validation, scheduling & process automation, dashboard & report preparation, etc. The individual will play a key role in the team responsible for FP&A data reporting, adhoc reporting & analysis and would be required to work on multiple projects in parallel by ensuring adequate understanding of the requirements and deliver data driven insights and solutions to complex business problems. These projects would be time critical which would require the candidate to understand key business levers & metrics for accurate & well controlled reporting. Candidate will be required to understand the process and bring in efficiencies through automation of existing reporting packages or codes. The work would be a mix of standard and ad-hoc deliverables based on dynamic business requirements. Technical competency is essential to build processes which ensure data quality and completeness across all projects / requests related to business. Candidate should have a clear understanding of the end-to-end process (including its purpose) and a discipline of managing and continuously improving those processes. Robust process documentation & timely updates would also be part of the core work responsibilities. Responsibilities* Preparation and maintenance of various KPI reporting (Consumer lending such as Credit Cards) including performing data or business driven deep dive analysis. Credit Cards related metrics reporting through data extraction, validation, data summarization, variance analysis, dashboarding, etc. Understand business requirements and translate those into deliverables. Support the business on periodic and ad-hoc projects related to consumer lending products. Develop and maintain codes for the data extraction, manipulation, and summarization on tools such as SQL Teradata, SAS, Emerging technologies like Tableau, Alteryx, Power Query, etc. Design solutions, generate actionable insights, optimize existing processes, build tool-based automations, and ensure overall program governance. Managing risk: managing and reducing risk, proactively identify risks, issues and concerns and manage controls to help drive responsible growth (ex: Compliance, procedures, data management, etc.), establish a risk culture to encourage early escalation and self-identifying issues. Effective communication: deliver transparent, concise, and consistent messaging while influencing change in the teams. Extremely good with numbers and ability to present various business/finance metrics, detailed analysis, and key observations to Senior Business Leaders. Perform weekly/monthly/quarterly end review and controls. Requirements* Education* MCA / MBA finance with 7 - 10 years of relevant industry work experience. Experience Range* 7 - 10 years of relevant work experience in Data Mining, Analytics & reporting in Banking or financial services industry. Prior experience into Banking and Financial services industry preferably Consumer/Retail banking, Small Business banking, Credit cards businesses would be an added advantage. Foundational skills* Strong abilities in data extraction, data manipulation and business analysis and strong financial acumen. Excellent computer programming skills, including MS excel, Teradata SQL, SAS, VBA and emerging technologies like Alteryx, Tableau, Power Query, MicroStrategy, etc. Strong business problem solving skills, and ability to deliver on analytics projects independently, from initial structuring to final presentation. Strong communication skills (both verbal and written), Interpersonal skills and relationship management skills to navigate the complexities of aligning stakeholders, building consensus, and resolving conflicts. Manages operational risk by building strong processes and quality control routines. Data Quality and Governance: Ability to clean, validate and ensure data accuracy and integrity. Troubleshooting: Expertise in debugging and optimizing SAS and SQL codes. Desired Skills Ability to effectively manage multiple priorities under pressure and deliver as well as being able to adapt to changes. Able to work in a fast paced, deadline-oriented environment. Stakeholder management Attention to details: Strong focus on data accuracy and documentation. Work Timings* 11:30 pm to 8:30 pm (will require to stretch 7-8 days in a month to meet critical deadlines) Job Location* Mumbai Show more Show less

At Inizio, we bring strategy consulting disciplines to Life Sciences, with over 30 years of expertise in solving complex challenges that shape healthcare. We work with 19 of the top 20 global biopharmaceutical companies and numerous venture-backed biotech firms, with a presence in the US, UK, Ireland, and India. As our team of 200+ consultants continue to grow, we are poised to expand further. We’re seeking a Strategic Product Manager with 7–8 years of experience to drive the development of innovative healthcare products. The ideal candidate is a confident communicator, organized planner, and proactive problem-solver, adept at managing business stakeholders and collaborating with cross-functional teams, including data science and engineering. Key Responsibilities Roadmap & Strategy: Translate strategic objectives into a clear roadmap of features and requirements that align with our organization’s vision. Business Case Development: Build business cases and define value propositions for use cases, working closely with stakeholders to shape our data platform's roadmap. Stakeholder Engagement: Serve as the product owner and subject matter expert, ensuring alignment between business needs and technical requirements. Workflow Design: Define and gain approval for workflow and product journey diagrams, bridging the gap between business and technical teams. Feature Prioritization: Scope and prioritize features based on business impact, complexity, and resource requirements. UX Collaboration: Partner with the UX team to design, test, and refine user experiences. Data-Driven Insights: Analyze KPIs to ensure metrics align with business goals and drive product decisions based on data insights. Dashboard Development: Collaborate with teams to create impactful dashboards that highlight analytics and showcase business value. Product Innovation: Identify and address product gaps, generating ideas to enhance value propositions and drive user adoption. Clear Communication: Communicate product roadmaps, priorities, and decisions effectively to internal teams and senior leadership. Market & Competitive Research: Lead research efforts, keeping the organization informed of market trends and competitive insights. Project Planning & Timeline Management: Manage timelines and adapt project plans throughout the development cycle for successful delivery. Preferred Technical Skills Data Analysis: Understanding on SQL , Excel and power Point for data analysis, summarization and presentation. Workflow Design Tools: Experience with Visio or similar tools for workflow and diagram creation. Project Planning: Familiarity with project management tools for effective planning and tracking. Don't meet every job requirement? That's okay! Our company is dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role, but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others. Show more Show less

🚀 What we’re building CodeRound AI matches top 5% tech talent to fastest growing VC funded AI startups in Silicon Valley and India. Candidates apply once and get UPTO 20 remote as well as onsite interview opportunities IF selected! T op-tier product startups in US, UAE & India have hired top engineers & ML folk using CodeRound 🧩 What you'll do Design, build, and iterate on LLM-based systems that score freeform answers, generate real-time feedback, and assist. Optimize prompt workflows and build tool-augmented agents that evaluate coding, reasoning, and system design responses. Implement and tune RAG pipelines to personalize interviews, fetch dynamic context, and reduce hallucinations. Define LLM evaluation frameworks — accuracy, consistency, bias, and interpretability. Collaborate with backend and product to ship fast, test with users, and refine in production. Keep up with SOTA papers, models, and tools — and bring them to life in real applications. ✅ You’ll thrive here if you: Have built LLM-based applications in production — not just toy projects. Are strong in Python, familiar with LangChain/LlamaIndex, and have worked with OpenAI, Claude, or open-weight models. Understand LLM failure modes — and how to prompt, chain, or retrieve around them. Think like a product engineer — fast, iterative, user-focused, and not afraid to ship experiments. Are excited about building LLM features that go beyond chat — evaluation, scoring, ranking, summarization. ⚡ Bonus if you: Have experience with vector DBs (Pinecone, Weaviate, etc.), semantic search, and evaluation frameworks. Have worked on AI in edtech, hiring, developer tools, or assessment. Have finetuned models or built systems around LLM agents + tools. Want to grow into a Founding AI Lead role. ✨ Why CodeRound? You’ll own mission-critical LLM systems used by top startups You’ll work with a fast team of engineers and founders who’ve built and scaled startups before. You’ll ship fast, see real user feedback, and influence product + infra decisions from Day 1. Show more Show less

Location: Altimetrik base location (Bangalore/Chennai/ Pune/Jaipur/Hyderabad /Gurugram) Qualifications: A Bachelor's degree in a relevant field such as Computer Science, Software Engineering, or Data Science is preferred. A Masters degree in Artificial Intelligence is a plus. 4-8 years of experience working with Python and a high level of proficiency in the language. Outstanding analytical and problem-solving abilities. Extensive experience with Generative AI, with a solid understanding of end-to-end pipelines involving Large Language Models (LLMs) such as OpenAI, Llama, Claude, etc. Proven expertise in Prompt Engineering. Strong knowledge of NLP techniques, including text summarization, question answering, and more. Proficient in software design patterns, with experience in writing modular, reusable, and maintainable code. Hands-on experience with at least one major cloud platform (AWS, GCP, or Azure). Relevant experience with Docker and Kubernetes is highly desirable. Strong ability to rapidly prototype ideas and tackle complex problems with innovative solutions. Experience working within an Agile development environment. Excellent communication and presentation skills. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Generative AI Consultant for Supply Chain Business Process – Staff The opportunity We’re looking for Staff Level Consultants with expertise in Generative AI who can work on end-to-end pipelines, enabling data curation, building and fine-tuning Generative AI models, and deploying them into scalable production streams. Analytics, AI innovation, and large-scale data solutions, is the key to join the Supply Chain Technology group of our GDS consulting Team. This is a fantastic opportunity to be part of a leading firm whilst being instrumental in the growth of a new service offering. This role demands a highly technical, extremely hands-on experience who will work closely with our EY Partners and external clients to develop new business as well as drive other initiatives on different business needs for various SC&O domains. The ideal candidate must have a good understanding of the problems and use cases that can be solved with Gen AI models with closest accuracy with Supply Chain industry knowledge and proven experience in delivering solutions to different lines of business and technical leadership. Your Key Responsibilities Design, develop, and fine-tune Generative AI models using frameworks like LangChain, Hugging Face, TensorFlow, or PyTorch. Implement solutions for data pre-processing, tokenization, and dataset augmentation. Deploy Generative AI models on cloud platforms (e.g., AWS, GCP, Azure) or edge devices, ensuring scalability and robustness. Work on MLOps pipelines, including CI/CD workflows, model monitoring, and retraining strategies. Conduct performance benchmarking, hyperparameter tuning, and optimization to improve model efficiency. Stay updated on the latest trends and advancements in Generative AI and integrate best practices into project workflows. Skills And Attributes For Success 2–4 years of hands-on experience in Machine Learning or Generative AI development. Proficiency in Python and libraries like LangChain, TensorFlow, PyTorch, or Hugging Face Transformers. Strong skills in data preprocessing, data cleaning, and working with large datasets. Basic experience with cloud platforms (AWS, GCP, or Azure). Familiarity with foundational Generative AI models (e.g., GPT-3.5, GPT-4, DALL-E, Text Embeddings Ada, LLAMA, T5, Bloom), prompt engineering and their applications. Familiarity with Vector Databases and embeddings (e.g., Pinecone, Weaviate). Hands-on exposure to APIs for integrating Generative AI solutions into business applications. Knowledge of NLP techniques like summarization, text classification, and entity recognition. Certifications in Machine Learning or cloud platforms are a plus. To qualify for the role, you must have 2-4 years ML, MLOps, Generative AI LLMs experience as Developer. Expertise in the Data Engineering, Data transformation, curation, feature selection, ETL Mappings, Data Warehouse concepts. Should be able to design AI solutions and present solutions as per client needs Thorough knowledge in Structured Query Language (SQL), Python, PySpark, Spark, and other languages. Should have experience in developing end-to-end GenAI solutions with capability to migrate the solution for Production. Should have Knowledge of Cloud like Azure, AWS, GCP etc Knowledge of framework like, LangChain, Hugging Face, Azure ML Studio Azure. Knowledge of data modelling and Vector DB management and modelling. Ideally, you’ll also have Strong knowledge of Programming concepts, Cloud Concepts, LLM Models, design and coding Expertise in data handling to resolve any data issues as per client needs Experience in designing and developing DB objects and Vector Dbs. Experience of creating complex SQL queries, PySpark code, Python Scripting for retrieving, manipulating, checking and migrating complex datasets. Experience in Model selection and tuning of model. Good verbal and written communication in English, Strong interpersonal, analytical and problem-solving abilities. What We Look For The incumbent should be able to drive Generative AI and ML related developments. Additional knowledge of data structures preferably in Supply chain Industry will be an advantage. An opportunity to be a part of market-leading, multi-disciplinary team of 10000 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY GDS consulting practices globally with leading businesses across a range of industries What Working At EY Offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Generative AI Consultant for Supply Chain Business Process – Staff The opportunity We’re looking for Staff Level Consultants with expertise in Generative AI who can work on end-to-end pipelines, enabling data curation, building and fine-tuning Generative AI models, and deploying them into scalable production streams. Analytics, AI innovation, and large-scale data solutions, is the key to join the Supply Chain Technology group of our GDS consulting Team. This is a fantastic opportunity to be part of a leading firm whilst being instrumental in the growth of a new service offering. This role demands a highly technical, extremely hands-on experience who will work closely with our EY Partners and external clients to develop new business as well as drive other initiatives on different business needs for various SC&O domains. The ideal candidate must have a good understanding of the problems and use cases that can be solved with Gen AI models with closest accuracy with Supply Chain industry knowledge and proven experience in delivering solutions to different lines of business and technical leadership. Your Key Responsibilities Design, develop, and fine-tune Generative AI models using frameworks like LangChain, Hugging Face, TensorFlow, or PyTorch. Implement solutions for data pre-processing, tokenization, and dataset augmentation. Deploy Generative AI models on cloud platforms (e.g., AWS, GCP, Azure) or edge devices, ensuring scalability and robustness. Work on MLOps pipelines, including CI/CD workflows, model monitoring, and retraining strategies. Conduct performance benchmarking, hyperparameter tuning, and optimization to improve model efficiency. Stay updated on the latest trends and advancements in Generative AI and integrate best practices into project workflows. Skills And Attributes For Success 2–4 years of hands-on experience in Machine Learning or Generative AI development. Proficiency in Python and libraries like LangChain, TensorFlow, PyTorch, or Hugging Face Transformers. Strong skills in data preprocessing, data cleaning, and working with large datasets. Basic experience with cloud platforms (AWS, GCP, or Azure). Familiarity with foundational Generative AI models (e.g., GPT-3.5, GPT-4, DALL-E, Text Embeddings Ada, LLAMA, T5, Bloom), prompt engineering and their applications. Familiarity with Vector Databases and embeddings (e.g., Pinecone, Weaviate). Hands-on exposure to APIs for integrating Generative AI solutions into business applications. Knowledge of NLP techniques like summarization, text classification, and entity recognition. Certifications in Machine Learning or cloud platforms are a plus. To qualify for the role, you must have 2-4 years ML, MLOps, Generative AI LLMs experience as Developer. Expertise in the Data Engineering, Data transformation, curation, feature selection, ETL Mappings, Data Warehouse concepts. Should be able to design AI solutions and present solutions as per client needs Thorough knowledge in Structured Query Language (SQL), Python, PySpark, Spark, and other languages. Should have experience in developing end-to-end GenAI solutions with capability to migrate the solution for Production. Should have Knowledge of Cloud like Azure, AWS, GCP etc Knowledge of framework like, LangChain, Hugging Face, Azure ML Studio Azure. Knowledge of data modelling and Vector DB management and modelling. Ideally, you’ll also have Strong knowledge of Programming concepts, Cloud Concepts, LLM Models, design and coding Expertise in data handling to resolve any data issues as per client needs Experience in designing and developing DB objects and Vector Dbs. Experience of creating complex SQL queries, PySpark code, Python Scripting for retrieving, manipulating, checking and migrating complex datasets. Experience in Model selection and tuning of model. Good verbal and written communication in English, Strong interpersonal, analytical and problem-solving abilities. What We Look For The incumbent should be able to drive Generative AI and ML related developments. Additional knowledge of data structures preferably in Supply chain Industry will be an advantage. An opportunity to be a part of market-leading, multi-disciplinary team of 10000 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY GDS consulting practices globally with leading businesses across a range of industries What Working At EY Offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Generative AI Consultant for Supply Chain Business Process – Staff The opportunity We’re looking for Staff Level Consultants with expertise in Generative AI who can work on end-to-end pipelines, enabling data curation, building and fine-tuning Generative AI models, and deploying them into scalable production streams. Analytics, AI innovation, and large-scale data solutions, is the key to join the Supply Chain Technology group of our GDS consulting Team. This is a fantastic opportunity to be part of a leading firm whilst being instrumental in the growth of a new service offering. This role demands a highly technical, extremely hands-on experience who will work closely with our EY Partners and external clients to develop new business as well as drive other initiatives on different business needs for various SC&O domains. The ideal candidate must have a good understanding of the problems and use cases that can be solved with Gen AI models with closest accuracy with Supply Chain industry knowledge and proven experience in delivering solutions to different lines of business and technical leadership. Your Key Responsibilities Design, develop, and fine-tune Generative AI models using frameworks like LangChain, Hugging Face, TensorFlow, or PyTorch. Implement solutions for data pre-processing, tokenization, and dataset augmentation. Deploy Generative AI models on cloud platforms (e.g., AWS, GCP, Azure) or edge devices, ensuring scalability and robustness. Work on MLOps pipelines, including CI/CD workflows, model monitoring, and retraining strategies. Conduct performance benchmarking, hyperparameter tuning, and optimization to improve model efficiency. Stay updated on the latest trends and advancements in Generative AI and integrate best practices into project workflows. Skills And Attributes For Success 2–4 years of hands-on experience in Machine Learning or Generative AI development. Proficiency in Python and libraries like LangChain, TensorFlow, PyTorch, or Hugging Face Transformers. Strong skills in data preprocessing, data cleaning, and working with large datasets. Basic experience with cloud platforms (AWS, GCP, or Azure). Familiarity with foundational Generative AI models (e.g., GPT-3.5, GPT-4, DALL-E, Text Embeddings Ada, LLAMA, T5, Bloom), prompt engineering and their applications. Familiarity with Vector Databases and embeddings (e.g., Pinecone, Weaviate). Hands-on exposure to APIs for integrating Generative AI solutions into business applications. Knowledge of NLP techniques like summarization, text classification, and entity recognition. Certifications in Machine Learning or cloud platforms are a plus. To qualify for the role, you must have 2-4 years ML, MLOps, Generative AI LLMs experience as Developer. Expertise in the Data Engineering, Data transformation, curation, feature selection, ETL Mappings, Data Warehouse concepts. Should be able to design AI solutions and present solutions as per client needs Thorough knowledge in Structured Query Language (SQL), Python, PySpark, Spark, and other languages. Should have experience in developing end-to-end GenAI solutions with capability to migrate the solution for Production. Should have Knowledge of Cloud like Azure, AWS, GCP etc Knowledge of framework like, LangChain, Hugging Face, Azure ML Studio Azure. Knowledge of data modelling and Vector DB management and modelling. Ideally, you’ll also have Strong knowledge of Programming concepts, Cloud Concepts, LLM Models, design and coding Expertise in data handling to resolve any data issues as per client needs Experience in designing and developing DB objects and Vector Dbs. Experience of creating complex SQL queries, PySpark code, Python Scripting for retrieving, manipulating, checking and migrating complex datasets. Experience in Model selection and tuning of model. Good verbal and written communication in English, Strong interpersonal, analytical and problem-solving abilities. What We Look For The incumbent should be able to drive Generative AI and ML related developments. Additional knowledge of data structures preferably in Supply chain Industry will be an advantage. An opportunity to be a part of market-leading, multi-disciplinary team of 10000 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY GDS consulting practices globally with leading businesses across a range of industries What Working At EY Offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Generative AI Consultant for Supply Chain Business Process – Staff The opportunity We’re looking for Staff Level Consultants with expertise in Generative AI who can work on end-to-end pipelines, enabling data curation, building and fine-tuning Generative AI models, and deploying them into scalable production streams. Analytics, AI innovation, and large-scale data solutions, is the key to join the Supply Chain Technology group of our GDS consulting Team. This is a fantastic opportunity to be part of a leading firm whilst being instrumental in the growth of a new service offering. This role demands a highly technical, extremely hands-on experience who will work closely with our EY Partners and external clients to develop new business as well as drive other initiatives on different business needs for various SC&O domains. The ideal candidate must have a good understanding of the problems and use cases that can be solved with Gen AI models with closest accuracy with Supply Chain industry knowledge and proven experience in delivering solutions to different lines of business and technical leadership. Your Key Responsibilities Design, develop, and fine-tune Generative AI models using frameworks like LangChain, Hugging Face, TensorFlow, or PyTorch. Implement solutions for data pre-processing, tokenization, and dataset augmentation. Deploy Generative AI models on cloud platforms (e.g., AWS, GCP, Azure) or edge devices, ensuring scalability and robustness. Work on MLOps pipelines, including CI/CD workflows, model monitoring, and retraining strategies. Conduct performance benchmarking, hyperparameter tuning, and optimization to improve model efficiency. Stay updated on the latest trends and advancements in Generative AI and integrate best practices into project workflows. Skills And Attributes For Success 2–4 years of hands-on experience in Machine Learning or Generative AI development. Proficiency in Python and libraries like LangChain, TensorFlow, PyTorch, or Hugging Face Transformers. Strong skills in data preprocessing, data cleaning, and working with large datasets. Basic experience with cloud platforms (AWS, GCP, or Azure). Familiarity with foundational Generative AI models (e.g., GPT-3.5, GPT-4, DALL-E, Text Embeddings Ada, LLAMA, T5, Bloom), prompt engineering and their applications. Familiarity with Vector Databases and embeddings (e.g., Pinecone, Weaviate). Hands-on exposure to APIs for integrating Generative AI solutions into business applications. Knowledge of NLP techniques like summarization, text classification, and entity recognition. Certifications in Machine Learning or cloud platforms are a plus. To qualify for the role, you must have 2-4 years ML, MLOps, Generative AI LLMs experience as Developer. Expertise in the Data Engineering, Data transformation, curation, feature selection, ETL Mappings, Data Warehouse concepts. Should be able to design AI solutions and present solutions as per client needs Thorough knowledge in Structured Query Language (SQL), Python, PySpark, Spark, and other languages. Should have experience in developing end-to-end GenAI solutions with capability to migrate the solution for Production. Should have Knowledge of Cloud like Azure, AWS, GCP etc Knowledge of framework like, LangChain, Hugging Face, Azure ML Studio Azure. Knowledge of data modelling and Vector DB management and modelling. Ideally, you’ll also have Strong knowledge of Programming concepts, Cloud Concepts, LLM Models, design and coding Expertise in data handling to resolve any data issues as per client needs Experience in designing and developing DB objects and Vector Dbs. Experience of creating complex SQL queries, PySpark code, Python Scripting for retrieving, manipulating, checking and migrating complex datasets. Experience in Model selection and tuning of model. Good verbal and written communication in English, Strong interpersonal, analytical and problem-solving abilities. What We Look For The incumbent should be able to drive Generative AI and ML related developments. Additional knowledge of data structures preferably in Supply chain Industry will be an advantage. An opportunity to be a part of market-leading, multi-disciplinary team of 10000 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY GDS consulting practices globally with leading businesses across a range of industries What Working At EY Offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Generative AI Consultant for Supply Chain Business Process – Staff The opportunity We’re looking for Staff Level Consultants with expertise in Generative AI who can work on end-to-end pipelines, enabling data curation, building and fine-tuning Generative AI models, and deploying them into scalable production streams. Analytics, AI innovation, and large-scale data solutions, is the key to join the Supply Chain Technology group of our GDS consulting Team. This is a fantastic opportunity to be part of a leading firm whilst being instrumental in the growth of a new service offering. This role demands a highly technical, extremely hands-on experience who will work closely with our EY Partners and external clients to develop new business as well as drive other initiatives on different business needs for various SC&O domains. The ideal candidate must have a good understanding of the problems and use cases that can be solved with Gen AI models with closest accuracy with Supply Chain industry knowledge and proven experience in delivering solutions to different lines of business and technical leadership. Your Key Responsibilities Design, develop, and fine-tune Generative AI models using frameworks like LangChain, Hugging Face, TensorFlow, or PyTorch. Implement solutions for data pre-processing, tokenization, and dataset augmentation. Deploy Generative AI models on cloud platforms (e.g., AWS, GCP, Azure) or edge devices, ensuring scalability and robustness. Work on MLOps pipelines, including CI/CD workflows, model monitoring, and retraining strategies. Conduct performance benchmarking, hyperparameter tuning, and optimization to improve model efficiency. Stay updated on the latest trends and advancements in Generative AI and integrate best practices into project workflows. Skills And Attributes For Success 2–4 years of hands-on experience in Machine Learning or Generative AI development. Proficiency in Python and libraries like LangChain, TensorFlow, PyTorch, or Hugging Face Transformers. Strong skills in data preprocessing, data cleaning, and working with large datasets. Basic experience with cloud platforms (AWS, GCP, or Azure). Familiarity with foundational Generative AI models (e.g., GPT-3.5, GPT-4, DALL-E, Text Embeddings Ada, LLAMA, T5, Bloom), prompt engineering and their applications. Familiarity with Vector Databases and embeddings (e.g., Pinecone, Weaviate). Hands-on exposure to APIs for integrating Generative AI solutions into business applications. Knowledge of NLP techniques like summarization, text classification, and entity recognition. Certifications in Machine Learning or cloud platforms are a plus. To qualify for the role, you must have 2-4 years ML, MLOps, Generative AI LLMs experience as Developer. Expertise in the Data Engineering, Data transformation, curation, feature selection, ETL Mappings, Data Warehouse concepts. Should be able to design AI solutions and present solutions as per client needs Thorough knowledge in Structured Query Language (SQL), Python, PySpark, Spark, and other languages. Should have experience in developing end-to-end GenAI solutions with capability to migrate the solution for Production. Should have Knowledge of Cloud like Azure, AWS, GCP etc Knowledge of framework like, LangChain, Hugging Face, Azure ML Studio Azure. Knowledge of data modelling and Vector DB management and modelling. Ideally, you’ll also have Strong knowledge of Programming concepts, Cloud Concepts, LLM Models, design and coding Expertise in data handling to resolve any data issues as per client needs Experience in designing and developing DB objects and Vector Dbs. Experience of creating complex SQL queries, PySpark code, Python Scripting for retrieving, manipulating, checking and migrating complex datasets. Experience in Model selection and tuning of model. Good verbal and written communication in English, Strong interpersonal, analytical and problem-solving abilities. What We Look For The incumbent should be able to drive Generative AI and ML related developments. Additional knowledge of data structures preferably in Supply chain Industry will be an advantage. An opportunity to be a part of market-leading, multi-disciplinary team of 10000 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY GDS consulting practices globally with leading businesses across a range of industries What Working At EY Offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Generative AI Consultant for Supply Chain Business Process – Staff The opportunity We’re looking for Staff Level Consultants with expertise in Generative AI who can work on end-to-end pipelines, enabling data curation, building and fine-tuning Generative AI models, and deploying them into scalable production streams. Analytics, AI innovation, and large-scale data solutions, is the key to join the Supply Chain Technology group of our GDS consulting Team. This is a fantastic opportunity to be part of a leading firm whilst being instrumental in the growth of a new service offering. This role demands a highly technical, extremely hands-on experience who will work closely with our EY Partners and external clients to develop new business as well as drive other initiatives on different business needs for various SC&O domains. The ideal candidate must have a good understanding of the problems and use cases that can be solved with Gen AI models with closest accuracy with Supply Chain industry knowledge and proven experience in delivering solutions to different lines of business and technical leadership. Your Key Responsibilities Design, develop, and fine-tune Generative AI models using frameworks like LangChain, Hugging Face, TensorFlow, or PyTorch. Implement solutions for data pre-processing, tokenization, and dataset augmentation. Deploy Generative AI models on cloud platforms (e.g., AWS, GCP, Azure) or edge devices, ensuring scalability and robustness. Work on MLOps pipelines, including CI/CD workflows, model monitoring, and retraining strategies. Conduct performance benchmarking, hyperparameter tuning, and optimization to improve model efficiency. Stay updated on the latest trends and advancements in Generative AI and integrate best practices into project workflows. Skills And Attributes For Success 2–4 years of hands-on experience in Machine Learning or Generative AI development. Proficiency in Python and libraries like LangChain, TensorFlow, PyTorch, or Hugging Face Transformers. Strong skills in data preprocessing, data cleaning, and working with large datasets. Basic experience with cloud platforms (AWS, GCP, or Azure). Familiarity with foundational Generative AI models (e.g., GPT-3.5, GPT-4, DALL-E, Text Embeddings Ada, LLAMA, T5, Bloom), prompt engineering and their applications. Familiarity with Vector Databases and embeddings (e.g., Pinecone, Weaviate). Hands-on exposure to APIs for integrating Generative AI solutions into business applications. Knowledge of NLP techniques like summarization, text classification, and entity recognition. Certifications in Machine Learning or cloud platforms are a plus. To qualify for the role, you must have 2-4 years ML, MLOps, Generative AI LLMs experience as Developer. Expertise in the Data Engineering, Data transformation, curation, feature selection, ETL Mappings, Data Warehouse concepts. Should be able to design AI solutions and present solutions as per client needs Thorough knowledge in Structured Query Language (SQL), Python, PySpark, Spark, and other languages. Should have experience in developing end-to-end GenAI solutions with capability to migrate the solution for Production. Should have Knowledge of Cloud like Azure, AWS, GCP etc Knowledge of framework like, LangChain, Hugging Face, Azure ML Studio Azure. Knowledge of data modelling and Vector DB management and modelling. Ideally, you’ll also have Strong knowledge of Programming concepts, Cloud Concepts, LLM Models, design and coding Expertise in data handling to resolve any data issues as per client needs Experience in designing and developing DB objects and Vector Dbs. Experience of creating complex SQL queries, PySpark code, Python Scripting for retrieving, manipulating, checking and migrating complex datasets. Experience in Model selection and tuning of model. Good verbal and written communication in English, Strong interpersonal, analytical and problem-solving abilities. What We Look For The incumbent should be able to drive Generative AI and ML related developments. Additional knowledge of data structures preferably in Supply chain Industry will be an advantage. An opportunity to be a part of market-leading, multi-disciplinary team of 10000 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY GDS consulting practices globally with leading businesses across a range of industries What Working At EY Offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Generative AI Consultant for Supply Chain Business Process – Staff The opportunity We’re looking for Staff Level Consultants with expertise in Generative AI who can work on end-to-end pipelines, enabling data curation, building and fine-tuning Generative AI models, and deploying them into scalable production streams. Analytics, AI innovation, and large-scale data solutions, is the key to join the Supply Chain Technology group of our GDS consulting Team. This is a fantastic opportunity to be part of a leading firm whilst being instrumental in the growth of a new service offering. This role demands a highly technical, extremely hands-on experience who will work closely with our EY Partners and external clients to develop new business as well as drive other initiatives on different business needs for various SC&O domains. The ideal candidate must have a good understanding of the problems and use cases that can be solved with Gen AI models with closest accuracy with Supply Chain industry knowledge and proven experience in delivering solutions to different lines of business and technical leadership. Your Key Responsibilities Design, develop, and fine-tune Generative AI models using frameworks like LangChain, Hugging Face, TensorFlow, or PyTorch. Implement solutions for data pre-processing, tokenization, and dataset augmentation. Deploy Generative AI models on cloud platforms (e.g., AWS, GCP, Azure) or edge devices, ensuring scalability and robustness. Work on MLOps pipelines, including CI/CD workflows, model monitoring, and retraining strategies. Conduct performance benchmarking, hyperparameter tuning, and optimization to improve model efficiency. Stay updated on the latest trends and advancements in Generative AI and integrate best practices into project workflows. Skills And Attributes For Success 2–4 years of hands-on experience in Machine Learning or Generative AI development. Proficiency in Python and libraries like LangChain, TensorFlow, PyTorch, or Hugging Face Transformers. Strong skills in data preprocessing, data cleaning, and working with large datasets. Basic experience with cloud platforms (AWS, GCP, or Azure). Familiarity with foundational Generative AI models (e.g., GPT-3.5, GPT-4, DALL-E, Text Embeddings Ada, LLAMA, T5, Bloom), prompt engineering and their applications. Familiarity with Vector Databases and embeddings (e.g., Pinecone, Weaviate). Hands-on exposure to APIs for integrating Generative AI solutions into business applications. Knowledge of NLP techniques like summarization, text classification, and entity recognition. Certifications in Machine Learning or cloud platforms are a plus. To qualify for the role, you must have 2-4 years ML, MLOps, Generative AI LLMs experience as Developer. Expertise in the Data Engineering, Data transformation, curation, feature selection, ETL Mappings, Data Warehouse concepts. Should be able to design AI solutions and present solutions as per client needs Thorough knowledge in Structured Query Language (SQL), Python, PySpark, Spark, and other languages. Should have experience in developing end-to-end GenAI solutions with capability to migrate the solution for Production. Should have Knowledge of Cloud like Azure, AWS, GCP etc Knowledge of framework like, LangChain, Hugging Face, Azure ML Studio Azure. Knowledge of data modelling and Vector DB management and modelling. Ideally, you’ll also have Strong knowledge of Programming concepts, Cloud Concepts, LLM Models, design and coding Expertise in data handling to resolve any data issues as per client needs Experience in designing and developing DB objects and Vector Dbs. Experience of creating complex SQL queries, PySpark code, Python Scripting for retrieving, manipulating, checking and migrating complex datasets. Experience in Model selection and tuning of model. Good verbal and written communication in English, Strong interpersonal, analytical and problem-solving abilities. What We Look For The incumbent should be able to drive Generative AI and ML related developments. Additional knowledge of data structures preferably in Supply chain Industry will be an advantage. An opportunity to be a part of market-leading, multi-disciplinary team of 10000 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY GDS consulting practices globally with leading businesses across a range of industries What Working At EY Offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Generative AI Consultant for Supply Chain Business Process – Staff The opportunity We’re looking for Staff Level Consultants with expertise in Generative AI who can work on end-to-end pipelines, enabling data curation, building and fine-tuning Generative AI models, and deploying them into scalable production streams. Analytics, AI innovation, and large-scale data solutions, is the key to join the Supply Chain Technology group of our GDS consulting Team. This is a fantastic opportunity to be part of a leading firm whilst being instrumental in the growth of a new service offering. This role demands a highly technical, extremely hands-on experience who will work closely with our EY Partners and external clients to develop new business as well as drive other initiatives on different business needs for various SC&O domains. The ideal candidate must have a good understanding of the problems and use cases that can be solved with Gen AI models with closest accuracy with Supply Chain industry knowledge and proven experience in delivering solutions to different lines of business and technical leadership. Your Key Responsibilities Design, develop, and fine-tune Generative AI models using frameworks like LangChain, Hugging Face, TensorFlow, or PyTorch. Implement solutions for data pre-processing, tokenization, and dataset augmentation. Deploy Generative AI models on cloud platforms (e.g., AWS, GCP, Azure) or edge devices, ensuring scalability and robustness. Work on MLOps pipelines, including CI/CD workflows, model monitoring, and retraining strategies. Conduct performance benchmarking, hyperparameter tuning, and optimization to improve model efficiency. Stay updated on the latest trends and advancements in Generative AI and integrate best practices into project workflows. Skills And Attributes For Success 2–4 years of hands-on experience in Machine Learning or Generative AI development. Proficiency in Python and libraries like LangChain, TensorFlow, PyTorch, or Hugging Face Transformers. Strong skills in data preprocessing, data cleaning, and working with large datasets. Basic experience with cloud platforms (AWS, GCP, or Azure). Familiarity with foundational Generative AI models (e.g., GPT-3.5, GPT-4, DALL-E, Text Embeddings Ada, LLAMA, T5, Bloom), prompt engineering and their applications. Familiarity with Vector Databases and embeddings (e.g., Pinecone, Weaviate). Hands-on exposure to APIs for integrating Generative AI solutions into business applications. Knowledge of NLP techniques like summarization, text classification, and entity recognition. Certifications in Machine Learning or cloud platforms are a plus. To qualify for the role, you must have 2-4 years ML, MLOps, Generative AI LLMs experience as Developer. Expertise in the Data Engineering, Data transformation, curation, feature selection, ETL Mappings, Data Warehouse concepts. Should be able to design AI solutions and present solutions as per client needs Thorough knowledge in Structured Query Language (SQL), Python, PySpark, Spark, and other languages. Should have experience in developing end-to-end GenAI solutions with capability to migrate the solution for Production. Should have Knowledge of Cloud like Azure, AWS, GCP etc Knowledge of framework like, LangChain, Hugging Face, Azure ML Studio Azure. Knowledge of data modelling and Vector DB management and modelling. Ideally, you’ll also have Strong knowledge of Programming concepts, Cloud Concepts, LLM Models, design and coding Expertise in data handling to resolve any data issues as per client needs Experience in designing and developing DB objects and Vector Dbs. Experience of creating complex SQL queries, PySpark code, Python Scripting for retrieving, manipulating, checking and migrating complex datasets. Experience in Model selection and tuning of model. Good verbal and written communication in English, Strong interpersonal, analytical and problem-solving abilities. What We Look For The incumbent should be able to drive Generative AI and ML related developments. Additional knowledge of data structures preferably in Supply chain Industry will be an advantage. An opportunity to be a part of market-leading, multi-disciplinary team of 10000 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY GDS consulting practices globally with leading businesses across a range of industries What Working At EY Offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

Role – AIML Data Scientist Job Location : Hyderabad Mode of Interview - Virtual Job Description Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem Improve Model accuracy to deliver greater business impact Estimate business impact due to deployment of model Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines 4. Design , develop & deploy Deep learning models using Tensorflow / Pytorch Experience in using Deep learning models with text, speech, image and video data Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV Knowledge of State of the art Deep learning algorithms Optimize and tune Deep Learnings model for best possible accuracy Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau Work with application teams, in deploying models on cloud as a service or on-prem Deployment of models in Test / Control framework for tracking Build CI/CD pipelines for ML model deployment Integrating AI&ML models with other applications using REST APIs and other connector technologies Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact. Technology/Subject Matter Expertise Sufficient expertise in machine learning, mathematical and statistical sciences Use of versioning & Collaborative tools like Git / Github Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming Develop prototype level ideas into a solution that can scale to industrial grade strength Ability to quantify & estimate the impact of ML models Softskills Profile Curiosity to think in fresh and unique ways with the intent of breaking new ground. Must have the ability to share, explain and “sell” their thoughts, processes, ideas and opinions, even outside their own span of control Ability to think ahead, and anticipate the needs for solving the problem will be important Ability to communicate key messages effectively, and articulate strong opinions in large forums Desirable Experience: Keen contributor to open source communities, and communities like Kaggle Ability to process Huge amount of Data using Pyspark/Hadoop Development & Application of Reinforcement Learning Knowledge of Optimization/Genetic Algorithms Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios Optimize and tune deep learning model for best possible accuracy Understanding of stream data processing, RPA, edge computing, AR/VR etc Appreciation of digital ethics, data privacy will be important Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus Show more Show less

Job Description Join Amgen's Mission to Serve Patients If you feel like you’re part of something bigger, it’s because you are. At Amgen, our shared mission—to serve patients—drives all that we do. It is key to our becoming one of the world’s leading biotechnology companies. We are global collaborators who achieve together—researching, manufacturing, and deliver ever-better products that reach over 10 million patients worldwide. It’s time for a career you can be proud of. Sr Associate Software Engineer Live What You Will Do Let’s do this. Let’s change the world. In this vital role We are seeking a highly skilled and hands-on Senior Software Engineer – Search to drive the development of intelligent, scalable search systems across our pharmaceutical organization. You'll work at the intersection of software engineering, AI, and life sciences to enable seamless access to structured and unstructured content—spanning research papers, clinical trial data, regulatory documents, and internal scientific knowledge. This is a high-impact role where your code directly accelerates innovation and decision-making in drug development and healthcare delivery Design, implement, and optimize search services using technologies such as Elasticsearch, OpenSearch, Solr, or vector search frameworks. Collaborate with data scientists and analysts to deliver data models and insights. Develop custom ranking algorithms, relevancy tuning, and semantic search capabilities tailored to scientific and medical content Support the development of intelligent search features like query understanding, question answering, summarization, and entity recognition Build and maintain robust, cloud-native APIs and backend services to support high-availability search infrastructure (e.g., AWS, GCP, Azure Implement CI/CD pipelines, observability, and monitoring for production-grade search systems Work closely with Product Owners, Tech Architect. Enable indexing of both structured (e.g., clinical trial metadata) and unstructured (e.g., PDFs, research papers) content Design & develop modern data management tools to curate our most important data sets, models and processes, while identifying areas for process automation and further efficiencies Expertise in programming languages such as Python, Java, React, typescript, or similar. Strong experience with data storage and processing technologies (e.g., Hadoop, Spark, Kafka, Airflow, SQL/NoSQL databases). Demonstrate strong initiative and ability to work with minimal supervision or direction Strong experience with cloud infrastructure (AWS, Azure, or GCP) and infrastructure as code like Terraform In-depth knowledge of relational and columnar SQL databases, including database design Expertise in data warehousing concepts (e.g. star schema, entitlement implementations, SQL v/s NoSQL modeling, milestoning, indexing, partitioning) Experience in REST and/or GraphQL Experience in creating Spark jobs for data transformation and aggregation Experience with distributed, multi-tiered systems, algorithms, and relational databases. Possesses strong rapid prototyping skills and can quickly translate concepts into working code Develop and execute unit tests, integration tests, and other testing strategies to ensure the quality of the software Analyze and understand the functional and technical requirements of applications Identify and resolve software bugs and performance issues Work closely with multi-functional teams, including product management, design, and QA, to deliver high-quality software on time Maintain detailed documentation of software designs, code, and development processes Basic Qualifications: Degree in computer science & engineering preferred with 6-8 years of software development experience Proficient in Python, Java, React, typescript, Postgres, Databricks Hands-on experience with search technologies (Elasticsearch, Solr, OpenSearch, or Lucene). Hands on experience with Full Stack software development. Proficient in programming languages, Java, Python, Fast Python, Databricks/RDS, Data engineering, S3Buckets, ETL, Hadoop, Spark, airflow, AWS Lambda Experience with data streaming frameworks (Apache Kafka, Flink). Experience with cloud platforms (AWS, Azure, Google Cloud) and related services (e.g., S3, Redshift, Big Query, Databricks) Hands on experience with various cloud services, understand pros and cons of various cloud services in well architected cloud design principles Working knowledge of open-source tools such as AWS lambda. Strong problem solving, analytical skills; Ability to learn quickly; Excellent communication and interpersonal skills Preferred Qualifications: Experience in Python, Java, React, Fast Python, Typescript, JavaScript, CSS HTML is desirable Experienced with API integration, serverless, microservices architecture. Experience in Data bricks, PySpark, Spark, SQL, ETL, Kafka Solid understanding of data governance, data security, and data quality best practices Experience with Unit Testing, Building and Debugging the Code Experienced with AWS /Azure Platform, Building and deploying the code Experience in vector database for large language models, Databricks or RDS Experience with DevOps CICD build and deployment pipeline Experience in Agile software development methodologies Experience in End-to-End testing Experience in additional Modern Database terminologies. Good To Have Skills Willingness to work on AI Applications Experience in NLMs, Solr Search Experience with popular large language models Experience with LangChain or LlamaIndex framework for language models Experience with prompt engineering, model fine tuning Knowledge of NLP techniques for text analysis and sentiment analysis Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills. Ability to work effectively with global teams. High degree of initiative and self-motivation. Team-oriented, with a focus on achieving team goals. Strong presentation and public speaking skills. Thrive What You Can Expect From Us As we work to develop treatments that take care of others, we also work to care for our teammates’ professional and personal growth and well-being. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now for a career that defies imagination In our quest to serve patients above all else, Amgen is the first to imagine, and the last to doubt. Join us. careers.amgen.com Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Show more Show less

Welo Data works with technology companies to provide datasets that are high-quality, ethically sourced, relevant, diverse, and scalable to supercharge their AI models. As a Welocalize brand, WeloData leverages over 25 years of experience in partnering with the world’s most innovative companies and brings together a curated global community of over 500,000 AI training and domain experts to offer services that span: ANNOTATION & LABELLING: Transcription, summarization, image and video classification and labeling. ENHANCING LLMs: Prompt engineering, SFT, RLHF, red teaming and adversarial model training, model output ranking. DATA COLLECTION & GENERATION: From institutional languages to remote field audio collection. RELEVANCE & INTENT: Culturally nuanced and aware, ranking, relevance, and evaluation to train models for search, ads, and LLM output. Want to join our Welo Data team? We bring practical, applied AI expertise to projects. We have both strong academic experience and a deep working knowledge of state-of-the-art AI tools, frameworks, and best practices. Help us elevate our clients' Data at Welo Data. Shape the Future of AI — On Your Terms At Welo Data, we’re reimagining how people and machines understand each other. As part of the Welocalize family, we partner with leading global companies to power inclusive, human-centered AI — built on high-quality language data. We’re building a global network of talented linguists, language enthusiasts, and culturally curious contributors ready to shape the next wave of technology through the power of language. This is your space to grow, learn, and connect on your schedule. Join Our Talent Community Whether you're a professional linguist or just passionate about how language and technology intersect, Welo Data welcomes you. By joining our talent pool, you’ll be first in line for future task-based projects in areas like annotation, evaluation, and prompt creation. When a suitable opportunity opens up, we’ll invite you to a short qualification process, which may include training, assessments, or onboarding steps depending on the project. Who We're Looking For: - Native or near-native fluency in Hindi - Proficient in English (written and spoken) - Based in India - Comfortable using digital tools and working remotely - Naturally detail-oriented, curious, and eager to learn - Open to working on a wide variety of language-focused tasks Why Choose Welo Data? - Limitless You – Work on your terms. Whether you're just starting out or deepening your expertise, Welo Data gives you the flexibility to grow your skills, explore new projects, and balance life on your own schedule. - Limitless AI – Be part of the technology revolution. Your contributions will help train and improve AI systems that touch millions of lives, making them more inclusive, intelligent, and human-centered. - Be Part of Us – Join a vibrant, global community of language lovers, technologists, and creatives working together to shape a more connected world. - Opportunity – Be the first to access projects that match your skills and availability. If you're passionate about language, technology, and shaping the future of AI, we want to hear from you. Apply now by answering a few quick questions to join our community. 📬 Got questions? Reach out to us at JobPosting@welocalize.com Show more Show less

Job Description As a Senior Principal Software Engineer in the Foundational Services organisation, you will play a pivotal role in delivering cutting-edge SaaS capabilities for Oracle's market-leading SaaS products. Our SaaS Engine is a next-generation platform designed to revolutionize SaaS ownership by leveraging advanced technologies like AI, polyglot databases, high-performance computing, and user centric design. Responsibilities Role Specific Responsibilities Architecting the SaaS Engine: Utilize state-of-the-art technologies such as language models, high-performance compute, next-generation Ul technology, and cloud-native architecture to build the foundation for Oracle's market-leading SaaS applications. Driving Innovation: Continuously explore and implement innovative solutions to enhance the SaaS Engine's capabilities, efficiency, and user experience. Collaborating with Cross-Functional Teams: Work closely with product managers, developers, and other stakeholders to ensure the SaaS Engine aligns with business objectives and delivers exceptional value to customers. Mentoring and Guiding: Provide technical leadership and mentorship to team members, fostering a culture of innovation and excellence. Technical Skills: Cloud Native Principles and Architectures: Expertise in designing scalable and resilient cloud-based solutions. API-Driven Architecture: Proficiency in creating layered and abstracted designs using APls. Design Documentation: Ability to create comprehensive design documentation, including artefacts like sequence diagrams. Cloud Native Technologies: Familiarity with Kubernetes, Docker, serverless compute, software-driven networking, and identity and access management. API Standards: Knowledge of API standards (e.g., OpenAPI, RESTful AP|s) and related concepts (e.g., JSON, JSON Schema). Databases: Experience with multiple database technologies (e.g., Key/Value, Graph, Document, RDBMS). Programming: Reasonable proficiency in at least one programming language (e.g., C, C++, Java, Python). Nice to have: High-Performance Computing: Familiarity with high-performance computing (e.g., CUDA). Financial Engineering: Experience in computational finance, actuarial algorithms or related area such as scientific computing Generative Al: Experience in generative Al, usage of large language models for data summarization and usability enhancement Soft Skills: Blueprints and Roadmaps: Ability to curate blueprints and define roadmaps for complex platforms. Presentation and Articulation: Effective communication skills to present designs to diverse audiences. Hands-On Approach: Willingness to be involved in practical aspects of the work. Qualifications: Bachelor's degree in Computer Science, Software Engineering, or a related field or comparable experience. At least 10+ years of experience in designing and implementing complex cloud-native architectures. (Will consider candidates with exceptional experience and demonstrated skills even if they have less than 10 years.) Experience building computational models for insurance actuarial calculations Strong understanding of API design principles and best practices, with demonstrable experience in API design. While not an absolute requirement, candidates with experience contributing to API standards bodies, open-source projects will be highly regarded. Experience working with various database technologies. Familiarity with high-performance computing concepts. Excellent communication and collaboration skills. Advanced degrees (e.g., Master's, PhD) in a relevant field will be highly regarded. A passion for learning and staying up-to-date with emerging technologies. Qualifications Career Level - IC4 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

Job Description As a Senior Principal Software Engineer in the Foundational Services organisation, you will play a pivotal role in delivering cutting-edge SaaS capabilities for Oracle's market-leading SaaS products. Our SaaS Engine is a next-generation platform designed to revolutionize SaaS ownership by leveraging advanced technologies like AI, polyglot databases, high-performance computing, and user centric design. Responsibilities Role Specific Responsibilities Architecting the SaaS Engine: Utilize state-of-the-art technologies such as language models, high-performance compute, next-generation Ul technology, and cloud-native architecture to build the foundation for Oracle's market-leading SaaS applications. Driving Innovation: Continuously explore and implement innovative solutions to enhance the SaaS Engine's capabilities, efficiency, and user experience. Collaborating with Cross-Functional Teams: Work closely with product managers, developers, and other stakeholders to ensure the SaaS Engine aligns with business objectives and delivers exceptional value to customers. Mentoring and Guiding: Provide technical leadership and mentorship to team members, fostering a culture of innovation and excellence. Technical Skills: Cloud Native Principles and Architectures: Expertise in designing scalable and resilient cloud-based solutions. API-Driven Architecture: Proficiency in creating layered and abstracted designs using APls. Design Documentation: Ability to create comprehensive design documentation, including artefacts like sequence diagrams. Cloud Native Technologies: Familiarity with Kubernetes, Docker, serverless compute, software-driven networking, and identity and access management. API Standards: Knowledge of API standards (e.g., OpenAPI, RESTful AP|s) and related concepts (e.g., JSON, JSON Schema). Databases: Experience with multiple database technologies (e.g., Key/Value, Graph, Document, RDBMS). Programming: Reasonable proficiency in at least one programming language (e.g., C, C++, Java, Python). Nice to have: High-Performance Computing: Familiarity with high-performance computing (e.g., CUDA). Financial Engineering: Experience in computational finance, actuarial algorithms or related area such as scientific computing Generative Al: Experience in generative Al, usage of large language models for data summarization and usability enhancement Soft Skills: Blueprints and Roadmaps: Ability to curate blueprints and define roadmaps for complex platforms. Presentation and Articulation: Effective communication skills to present designs to diverse audiences. Hands-On Approach: Willingness to be involved in practical aspects of the work. Qualifications: Bachelor's degree in Computer Science, Software Engineering, or a related field or comparable experience. At least 10+ years of experience in designing and implementing complex cloud-native architectures. (Will consider candidates with exceptional experience and demonstrated skills even if they have less than 10 years.) Experience building computational models for insurance actuarial calculations Strong understanding of API design principles and best practices, with demonstrable experience in API design. While not an absolute requirement, candidates with experience contributing to API standards bodies, open-source projects will be highly regarded. Experience working with various database technologies. Familiarity with high-performance computing concepts. Excellent communication and collaboration skills. Advanced degrees (e.g., Master's, PhD) in a relevant field will be highly regarded. A passion for learning and staying up-to-date with emerging technologies. Qualifications Career Level - IC4 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

Job Description Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem Improve Model accuracy to deliver greater business impact Estimate business impact due to deployment of model Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines Design, develop & deploy Deep learning models using TensorFlow / Pytorch Experience in using Deep learning models with text, speech, image and video data Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource TensorFlow, Pytorch, etc Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV Knowledge of State-of-the-art Deep learning algorithms Optimize and tune Deep Learnings model for best possible accuracy Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau Work with application teams, in deploying models on cloud as a service or on-prem Deployment of models in Test / Control framework for tracking Build CI/CD pipelines for ML model deployment Integrating AI&ML models with other applications using REST APIs and other connector technologies Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact. Show more Show less

Job Description As a Senior Principal Software Engineer in the Foundational Services organisation, you will play a pivotal role in delivering cutting-edge SaaS capabilities for Oracle's market-leading SaaS products. Our SaaS Engine is a next-generation platform designed to revolutionize SaaS ownership by leveraging advanced technologies like AI, polyglot databases, high-performance computing, and user centric design. Responsibilities Role Specific Responsibilities Architecting the SaaS Engine: Utilize state-of-the-art technologies such as language models, high-performance compute, next-generation Ul technology, and cloud-native architecture to build the foundation for Oracle's market-leading SaaS applications. Driving Innovation: Continuously explore and implement innovative solutions to enhance the SaaS Engine's capabilities, efficiency, and user experience. Collaborating with Cross-Functional Teams: Work closely with product managers, developers, and other stakeholders to ensure the SaaS Engine aligns with business objectives and delivers exceptional value to customers. Mentoring and Guiding: Provide technical leadership and mentorship to team members, fostering a culture of innovation and excellence. Technical Skills: Cloud Native Principles and Architectures: Expertise in designing scalable and resilient cloud-based solutions. API-Driven Architecture: Proficiency in creating layered and abstracted designs using APls. Design Documentation: Ability to create comprehensive design documentation, including artefacts like sequence diagrams. Cloud Native Technologies: Familiarity with Kubernetes, Docker, serverless compute, software-driven networking, and identity and access management. API Standards: Knowledge of API standards (e.g., OpenAPI, RESTful AP|s) and related concepts (e.g., JSON, JSON Schema). Databases: Experience with multiple database technologies (e.g., Key/Value, Graph, Document, RDBMS). Programming: Reasonable proficiency in at least one programming language (e.g., C, C++, Java, Python). Nice to have: High-Performance Computing: Familiarity with high-performance computing (e.g., CUDA). Financial Engineering: Experience in computational finance, actuarial algorithms or related area such as scientific computing Generative Al: Experience in generative Al, usage of large language models for data summarization and usability enhancement Soft Skills: Blueprints and Roadmaps: Ability to curate blueprints and define roadmaps for complex platforms. Presentation and Articulation: Effective communication skills to present designs to diverse audiences. Hands-On Approach: Willingness to be involved in practical aspects of the work. Qualifications: Bachelor's degree in Computer Science, Software Engineering, or a related field or comparable experience. At least 10+ years of experience in designing and implementing complex cloud-native architectures. (Will consider candidates with exceptional experience and demonstrated skills even if they have less than 10 years.) Experience building computational models for insurance actuarial calculations Strong understanding of API design principles and best practices, with demonstrable experience in API design. While not an absolute requirement, candidates with experience contributing to API standards bodies, open-source projects will be highly regarded. Experience working with various database technologies. Familiarity with high-performance computing concepts. Excellent communication and collaboration skills. Advanced degrees (e.g., Master's, PhD) in a relevant field will be highly regarded. A passion for learning and staying up-to-date with emerging technologies. Qualifications Career Level - IC4 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

Job Description As a Senior Principal Software Engineer in the Foundational Services organisation, you will play a pivotal role in delivering cutting-edge SaaS capabilities for Oracle's market-leading SaaS products. Our SaaS Engine is a next-generation platform designed to revolutionize SaaS ownership by leveraging advanced technologies like AI, polyglot databases, high-performance computing, and user centric design. Responsibilities Role Specific Responsibilities Architecting the SaaS Engine: Utilize state-of-the-art technologies such as language models, high-performance compute, next-generation Ul technology, and cloud-native architecture to build the foundation for Oracle's market-leading SaaS applications. Driving Innovation: Continuously explore and implement innovative solutions to enhance the SaaS Engine's capabilities, efficiency, and user experience. Collaborating with Cross-Functional Teams: Work closely with product managers, developers, and other stakeholders to ensure the SaaS Engine aligns with business objectives and delivers exceptional value to customers. Mentoring and Guiding: Provide technical leadership and mentorship to team members, fostering a culture of innovation and excellence. Technical Skills: Cloud Native Principles and Architectures: Expertise in designing scalable and resilient cloud-based solutions. API-Driven Architecture: Proficiency in creating layered and abstracted designs using APls. Design Documentation: Ability to create comprehensive design documentation, including artefacts like sequence diagrams. Cloud Native Technologies: Familiarity with Kubernetes, Docker, serverless compute, software-driven networking, and identity and access management. API Standards: Knowledge of API standards (e.g., OpenAPI, RESTful AP|s) and related concepts (e.g., JSON, JSON Schema). Databases: Experience with multiple database technologies (e.g., Key/Value, Graph, Document, RDBMS). Programming: Reasonable proficiency in at least one programming language (e.g., C, C++, Java, Python). Nice to have: High-Performance Computing: Familiarity with high-performance computing (e.g., CUDA). Financial Engineering: Experience in computational finance, actuarial algorithms or related area such as scientific computing Generative Al: Experience in generative Al, usage of large language models for data summarization and usability enhancement Soft Skills: Blueprints and Roadmaps: Ability to curate blueprints and define roadmaps for complex platforms. Presentation and Articulation: Effective communication skills to present designs to diverse audiences. Hands-On Approach: Willingness to be involved in practical aspects of the work. Qualifications: Bachelor's degree in Computer Science, Software Engineering, or a related field or comparable experience. At least 10+ years of experience in designing and implementing complex cloud-native architectures. (Will consider candidates with exceptional experience and demonstrated skills even if they have less than 10 years.) Experience building computational models for insurance actuarial calculations Strong understanding of API design principles and best practices, with demonstrable experience in API design. While not an absolute requirement, candidates with experience contributing to API standards bodies, open-source projects will be highly regarded. Experience working with various database technologies. Familiarity with high-performance computing concepts. Excellent communication and collaboration skills. Advanced degrees (e.g., Master's, PhD) in a relevant field will be highly regarded. A passion for learning and staying up-to-date with emerging technologies. Qualifications Career Level - IC4 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

Job Description As a Senior Principal Software Engineer in the Foundational Services organisation, you will play a pivotal role in delivering cutting-edge SaaS capabilities for Oracle's market-leading SaaS products. Our SaaS Engine is a next-generation platform designed to revolutionize SaaS ownership by leveraging advanced technologies like AI, polyglot databases, high-performance computing, and user centric design. Responsibilities Role Specific Responsibilities Architecting the SaaS Engine: Utilize state-of-the-art technologies such as language models, high-performance compute, next-generation Ul technology, and cloud-native architecture to build the foundation for Oracle's market-leading SaaS applications. Driving Innovation: Continuously explore and implement innovative solutions to enhance the SaaS Engine's capabilities, efficiency, and user experience. Collaborating with Cross-Functional Teams: Work closely with product managers, developers, and other stakeholders to ensure the SaaS Engine aligns with business objectives and delivers exceptional value to customers. Mentoring and Guiding: Provide technical leadership and mentorship to team members, fostering a culture of innovation and excellence. Technical Skills: Cloud Native Principles and Architectures: Expertise in designing scalable and resilient cloud-based solutions. API-Driven Architecture: Proficiency in creating layered and abstracted designs using APls. Design Documentation: Ability to create comprehensive design documentation, including artefacts like sequence diagrams. Cloud Native Technologies: Familiarity with Kubernetes, Docker, serverless compute, software-driven networking, and identity and access management. API Standards: Knowledge of API standards (e.g., OpenAPI, RESTful AP|s) and related concepts (e.g., JSON, JSON Schema). Databases: Experience with multiple database technologies (e.g., Key/Value, Graph, Document, RDBMS). Programming: Reasonable proficiency in at least one programming language (e.g., C, C++, Java, Python). Nice to have: High-Performance Computing: Familiarity with high-performance computing (e.g., CUDA). Financial Engineering: Experience in computational finance, actuarial algorithms or related area such as scientific computing Generative Al: Experience in generative Al, usage of large language models for data summarization and usability enhancement Soft Skills: Blueprints and Roadmaps: Ability to curate blueprints and define roadmaps for complex platforms. Presentation and Articulation: Effective communication skills to present designs to diverse audiences. Hands-On Approach: Willingness to be involved in practical aspects of the work. Qualifications: Bachelor's degree in Computer Science, Software Engineering, or a related field or comparable experience. At least 10+ years of experience in designing and implementing complex cloud-native architectures. (Will consider candidates with exceptional experience and demonstrated skills even if they have less than 10 years.) Experience building computational models for insurance actuarial calculations Strong understanding of API design principles and best practices, with demonstrable experience in API design. While not an absolute requirement, candidates with experience contributing to API standards bodies, open-source projects will be highly regarded. Experience working with various database technologies. Familiarity with high-performance computing concepts. Excellent communication and collaboration skills. Advanced degrees (e.g., Master's, PhD) in a relevant field will be highly regarded. A passion for learning and staying up-to-date with emerging technologies. Qualifications Career Level - IC4 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

Area(s) of responsibility Must have 10+ years of experience working in Data science, Machine learning and especially NLP technologies. Exposure to various LLM technologies and solid understanding of Transformer Encoder Networks. Able to apply deep learning and generative modeling techniques to develop LLM solutions in the field of Artificial Intelligence. Utilize your extensive knowledge and expertise in machine learning (ML) with a focus on generative models, including but not limited to generative adversarial networks (GANs), variational autoencoders (VAEs), and transformer-based architectures. Solid understanding of Model development, model serving, training/re-training techniques in a data sparse environment. Very good understanding of Prompt engineering techniques in developing Instruction based LLMs. Must be able to design, and implement state-of-the-art generative models for natural language processing (NLP) tasks such as text generation, text completion, language translation, and document summarization. Work with SAs and collaborate with cross-functional teams to identify business requirements and deliver solutions that meet the customer needs. Passionate to learn and stay updated with the latest advancements in generative AI and LLM. Nice to have -contributions to the research community through publications, presentations, and participation in relevant conferences or workshops. Evaluate and preprocess large-scale datasets, ensuring data quality and integrity, and develop data pipelines for training and evaluation of generative models. Ability to articulate to business stakeholders on the hallucination effects and various model behavioral analysis techniques followed. Exposure to developing Guardrails for LLMs both with open source and cloud native models. Collaborate with software engineers to deploy and optimize generative models in production environments, considering factors such as scalability, efficiency, and real-time performance. Nice to have- provide guidance to junior data scientists, sharing expertise and knowledge in generative AI and LLM, and contribute to the overall growth and success of the data science team. Experience on Marklogic is good to have in it Show more Show less

At Inizio, we bring strategy consulting disciplines to Life Sciences, with over 30 years of expertise in solving complex challenges that shape healthcare. We work with 19 of the top 20 global biopharmaceutical companies and numerous venture-backed biotech firms, with a presence in the US, UK, Ireland, and India. As our team of 200+ consultants continue to grow, we are poised to expand further. We’re seeking a Strategic Product Manager with 7–8 years of experience to drive the development of innovative healthcare products. The ideal candidate is a confident communicator, organized planner, and proactive problem-solver, adept at managing business stakeholders and collaborating with cross-functional teams, including data science and engineering. Key Responsibilities Roadmap & Strategy : Translate strategic objectives into a clear roadmap of features and requirements that align with our organization’s vision. Business Case Development : Build business cases and define value propositions for use cases, working closely with stakeholders to shape our data platform's roadmap. Stakeholder Engagement : Serve as the product owner and subject matter expert, ensuring alignment between business needs and technical requirements. Workflow Design : Define and gain approval for workflow and product journey diagrams, bridging the gap between business and technical teams. Feature Prioritization : Scope and prioritize features based on business impact, complexity, and resource requirements. UX Collaboration : Partner with the UX team to design, test, and refine user experiences. Data-Driven Insights : Analyze KPIs to ensure metrics align with business goals and drive product decisions based on data insights. Dashboard Development : Collaborate with teams to create impactful dashboards that highlight analytics and showcase business value. Product Innovation : Identify and address product gaps, generating ideas to enhance value propositions and drive user adoption. Clear Communication : Communicate product roadmaps, priorities, and decisions effectively to internal teams and senior leadership. Market & Competitive Research : Lead research efforts, keeping the organization informed of market trends and competitive insights. Project Planning & Timeline Management : Manage timelines and adapt project plans throughout the development cycle for successful delivery. Preferred Technical Skills Data Analysis : Understanding on SQL , Excel and power Point for data analysis, summarization and presentation. Workflow Design Tools : Experience with Visio or similar tools for workflow and diagram creation. Project Planning : Familiarity with project management tools for effective planning and tracking. Don't meet every job requirement? That's okay! Our company is dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role, but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others.

Job Description Job Title: Chief AI Officer (CAIO) Location: Mohali Reports To: CEO Exp: 10+ Years About RChilli: RChilli is a global leader in HR Tech, delivering AI-driven solutions for resume parsing, data enrichment, and talent acquisition. We are looking for a visionary Chief AI Officer (CAIO) to drive AI strategy, innovation, and ethical AI deployment in HRTech. Key Responsibilities: AI Strategy & Leadership Develop and execute RChilli’s AI strategy aligned with business goals. Ensure ethical AI implementation and compliance with industry regulations. Be a change leader in adopting AI across the company. AI-Driven Product Innovation Lead AI research & development for NLP, machine learning, and predictive analytics. Implement AI for automated job descriptions, resume scoring, and candidate recommendations. Oversee AI-powered chatbots, workforce planning, and predictive retention models. Identify opportunities for AI implementation, including: Automated calls for candidate screening, interview scheduling, and feedback collection. AI-powered report generation for HR analytics, performance tracking, and compliance. AI-based note-taking and meeting summarization for enhanced productivity. Technology & Infrastructure Define and implement a scalable AI roadmap. Manage AI infrastructure, data lakes, ETL processes, and automation. Oversee data lakes and ETL tools such as Airflow and NiFi for efficient data management. Ensure robust data engineering and analysis frameworks. Generative AI, Conversational AI & Transformative AI Apply Generative AI for automating job descriptions, resume parsing, and intelligent recommendations. Leverage Conversational AI for chatbots, virtual assistants, and AI-driven HR queries. Utilize Transformative AI for workforce planning, sentiment analysis, and predictive retention models. Tool Identification & Implementation Identify business requirements and assess third-party AI tools available in the market. Implement and integrate AI tools to enhance operations and optimize business processes. Business Integration & Operations Collaborate with cross-functional teams to integrate AI into HRTech solutions. Understand and optimize business processes for AI adoption. Align AI-driven processes with business efficiency and customer needs. Leadership & Talent Development Build and mentor an AI team, fostering a culture of innovation. Promote AI literacy across the organization. Industry Thought Leadership Represent RChilli in AI forums, conferences, and industry partnerships. Stay ahead of AI trends and HRTech advancements. Required Skills & Qualifications: Technical Skills: Master’s/Ph.D. in Computer Science, AI, Data Science, or related field. 10+ years of experience in AI/ML, with 5+ years in leadership roles. Expertise in NLP, machine learning, deep learning, and predictive analytics. Experience in AI ethics, governance, and compliance frameworks. Strong proficiency in AI infrastructure, data engineering, and automation tools. Understanding of data lakes, ETL processes, Airflow, and NiFi tools. Clear concepts in data engineering and analysis. Leadership & Business Skills: Strategic thinker with the ability to align AI innovation with business goals. Excellent communication and stakeholder management skills. Experience in building and leading AI teams. Why Join RChilli? Lead AI Innovation: Shape AI-driven HR solutions in a globally recognized HRTech company. Impactful Work: Drive AI transformations in HR operations and talent acquisition. Growth & Learning: Work with a passionate AI research and product team. Competitive Package: Enjoy a competitive salary, benefits, and career growth opportunities. If you are a visionary AI leader ready to transform HRTech, join RChilli as our Chief AI Officer.

Note: Please do not apply if your salary expectations are higher than the provided Salary Range and experience less than 3 years. If you have experience with Travel Industry and worked on Hotel, Car Rental or Ferry Booking before then we can negotiate the package. Company Description Our company is involved in promoting Greece for the last 25 years through travel sites visited from all around the world with 10 million visitors per year such www.greeka.com, www.ferriesingreece.com etc Through the websites, we provide a range of travel services for a seamless holiday experience such online car rental reservations, ferry tickets, transfers, tours etc….. Role Description We are seeking a highly skilled Artificial Intelligence / Machine Learning Engineer to join our dynamic team. You will work closely with our development team and QAs to deliver cutting-edge solutions that improve our candidate screening and employee onboarding processes. Major Responsibilities & Job Requirements include: • Develop and implement NLP/LLM Models. • Minimum of 3-4 years of experience as an AI/ML Developer or similar role, with demonstrable expertise in computer vision techniques. • Develop and implement AI models using Python, TensorFlow, and PyTorch. • Proven experience in computer vision, including fine-tuning OCR models (e.g., Tesseract, Layoutlmv3 , EasyOCR, PaddleOCR, or custom-trained models). • Strong understanding and hands-on experience with RAG (Retrieval-Augmented Generation) architectures and pipelines for building intelligent Q&A, document summarization, and search systems. • Experience working with LangChain, LLM agents, and chaining tools to build modular and dynamic LLM workflows. • Familiarity with agent-based frameworks and orchestration of multi-step reasoning with tools, APIs, and external data sources. • Familiarity with Cloud AI Solutions, such as IBM, Azure, Google & AWS. • Work on natural language processing (NLP) tasks and create language models (LLM) for various applications. • Design and maintain SQL databases for storing and retrieving data efficiently. • Utilize machine learning and deep learning techniques to build predictive models. • Collaborate with cross-functional teams to integrate AI solutions into existing systems. • Stay updated with the latest advancements in AI technologies, including ChatGPT, Gemini, Claude, and Big Data solutions. • Write clean, maintainable, and efficient code when required. • Handle large datasets and perform big data analysis to extract valuable insights. • Fine-tune pre-trained LLMs using specific type of data and ensure optimal performance. • Proficiency in cloud services from Amazon AWS • Extract and parse text from CVs, application forms, and job descriptions using advanced NLP techniques such as Word2Vec, BERT, and GPT-NER. • Develop similarity functions and matching algorithms to align candidate skills with job requirements. • Experience with microservices, Flask, FastAPI, Node.js. • Expertise in Spark, PySpark for big data processing. • Knowledge of advanced techniques such as SVD/PCA, LSTM, NeuralProphet. • Apply debiasing techniques to ensure fairness and accuracy in the ML pipeline. • Experience in coordinating with clients to understand their needs and delivering AI solutions that meet their requirements. Qualifications : • Bachelor's or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. • In-depth knowledge of NLP techniques and libraries, including Word2Vec, BERT, GPT, and others. • Experience with database technologies and vector representation of data. • Familiarity with similarity functions and distance metrics used in matching algorithms. • Ability to design and implement custom ontologies and classification models. • Excellent problem-solving skills and attention to detail. • Strong communication and collaboration skills. Show more Show less