1417 Generative Ai Jobs - Page 7

The Senior Applied Scientist role at Oracle Cloud Infrastructure (OCI) in Bangalore is ideal for an experienced individual with a deep hands-on experience in Generative AI and Computer Vision. As a member of the AI Science team, you will be responsible for developing highly complex and accurate data science models using cutting-edge techniques in computer vision, Large multimodal models, and other GenAI technologies. Your key responsibilities will include developing advanced AI models and algorithms focusing on large language model, large multimodal, computer vision, and foundation models. You will design, implement, and test critical modules/features of AI services that are correct, highly available, scalable, and cost-effective. Championing best practices for testing, benchmarking, and model validation to ensure reliability and performance will also be a key part of your role. You will analyze ML models, optimize them for accuracy and latency, and handle large-scale training & production deployment with ML models. Additionally, you will own data analysis, feature engineering, technique selection & implementation, debugging, and maintenance of production models. Proactively identifying technical issues/bugs and providing innovative solutions will be crucial. Collaborating closely with product managers, engineering leads, and annotation/data teams to define requirements, data quality assurance, and acceptance of data/annotation will be essential. Leveraging Oracle Cloud technology, you will work on developing best-in-class computer vision solutions at scale for the Oracle business domain. The ideal candidate for this role will have a Ph.D. or Masters in Computer Science, Machine Learning, Computer Vision, or a related field. A Ph.D. in computer vision or at least 2 years of experience in designing, implementing, and deploying computer vision models in production environments is preferred. Expertise in GenAI, LLMs, LMMs, object detection, facial recognition, and image classification is required. Strong foundation in deep learning architectures such as CNNs, transformers, diffusion models, and multimodal models is essential. Practical experience in ML algorithm design, model training, and production deployment using microservices architecture is a must. Experience working in a cloud environment like Oracle Cloud (OCI), AWS, GCP, or Azure is preferred. The successful candidate will have a strong drive to learn and master new technologies and techniques, along with a deep understanding of data structures, algorithms, and excellent problem-solving skills. You must enjoy working in a fast-paced environment and be willing to work in Agile and iterative development processes.,

Changing the world through digital experiences is what Adobe is all about. They provide everyone, from emerging artists to global brands, with everything they need to design and deliver exceptional digital experiences. Adobe is passionate about empowering people to create beautiful and powerful images, videos, and apps, transforming how companies interact with customers across every screen. They are on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. Adobe recognizes that new ideas can come from anywhere within the organization, and they believe the next big idea could be yours. As a Senior Product Manager at Adobe, you will join the Adobe Acrobat product management team in Noida. Working with a talented and highly motivated team of product managers, you will be responsible for defining the long-term vision and strategy for Adobe Acrobat apps. Your role will involve growing the business through cutting-edge innovations in the Generative AI space and infusing key functionality from Adobe Express into Acrobat to democratize beautiful designs for everyday business professionals, solopreneurs, and individuals worldwide. In this position, you will play a key role in defining product features, communicating requirements with multiple teams, and ensuring that the product meets customer needs. Your ability to influence and lead with clarity will be crucial in driving product success and delivering meaningful outcomes for Adobe's global user base. **Key Responsibilities:** - Define and champion product vision and strategy for Adobe Acrobat products. - Collaborate with the core product management team for Adobe Acrobat to drive Adobe's overall product strategy. - Work with engineering, marketing, sales, and other teams to drive success for the business. - Execute the product strategy, roadmap, and requirements by working closely with customers, partners, internal product teams, engineering, and senior management. - Research customer and market needs, conduct competitive analysis, and define prioritized feature requirements and an overall product roadmap. - Measure and assess the efficacy of the product roadmap for customer delight and business success. - Deliver presentations and demonstrations that highlight product value. - Collaborate with engineering teams, marketing, support, and partners to deliver the right product to the market. **Requirements for Success:** - Proven track record of defining product requirements and delivering successful products. - BS in Engineering and MBA (from top b-school (IIM, XLRI, ISB)) or equivalent experience. - Overall 9+ years of experience with a minimum of 6 years of post-MBA experience in a business role is highly desirable. - Ability to prioritize in ambiguous situations and make data-driven recommendations. - Strong communication and social skills with the ability to work across teams with geographically remote team members. - Motivated self-starter with the ability to learn and adapt. - Experience in agile software development practices within a large team environment is desirable. Adobe is committed to making Adobe.com accessible to all users. If you have a disability or special need that requires accommodation to navigate the website or complete the application process, you can email accommodations@adobe.com or call (408) 536-3015.,

As a Data Analyst/Senior Data Analyst, you will be responsible for planning and implementing the overall analytics and business intelligence strategy regarding the launch, development, and maintenance of capabilities in collaboration with the Data Science teams. You will effectively turn business questions into data analytics. The core responsibilities for the job include the following: Project Ownership: End-to-end ownership of capabilities development/ improvement projects. Work closely with the Data Science team to ensure that new logics and enhancements are developed according to the specifications. Conceptualize solutions that are configurable, adaptable, and scalable. Seek ways to improve and automate day-to-day operations for the team. Collaborate with Product and Analytics teams to help achieve the vision and roadmap. Maintain comprehensive documentation of analysis methods and findings. Data Analytics: Understand business needs, formulate end-to-end analysis that includes data gathering, analysis, and ongoing scaled deliverables. Translate business requirements and user requests into an effective data framework under challenging deadlines. Glean insights to make data-driven recommendations regarding new model development or existing model improvement. Stay updated with industry best practices and emerging trends in Data Analytics. Capability Performance Assessment: Understand and optimize key performance metrics relevant to the organizational goals. Evaluate KPIs and conduct tests to assess the success and impact of deployed capabilities. Identify areas for improvement based on data-driven insights and user feedback. LLM Solutions Integration in Products: Participate in developing Generative AI Capabilities and integrate them into the products. Work on effective prompt engineering and ensure output safeguarding. Monitor LLM solutions on production. Requirements: Undergraduate degree from a top-tier institute with 2-4+ years of work experience. 2+ years of work experience in data analytics, pattern analysis, and feature engineering. Proficiency in spreadsheets (Excel), word processing, and PowerPoint. Understanding of data extraction using SQL and data manipulation using Python. Strong analytical and problem-solving skills with a keen attention to detail. Understanding of ML concepts and applications, particularly in the context of Generative AI. Proven ability to work and thrive in a high-performing team with initiative to learn.,

The Machine Learning Engineer / Data Scientist (Generative AI & Data Engineering) position based in Gurgaon/NCR requires 3 to 5 years of experience in AI & Data Science Enterprise Delivery. As a Team Manager, your primary responsibility will be to manage client expectations and collaborate with stakeholders to fulfill customer requirements. Your duties will encompass various aspects of Data Science, including developing machine learning models to support recommendation systems and NLP projects. You will be tasked with providing actionable insights to optimize products and services. In Data Engineering, your role involves building and maintaining scalable ETL pipelines, optimizing data storage solutions, and ensuring data accuracy and reliability for analytics. Moreover, you will analyze complex datasets to identify trends and patterns, generating insights that drive strategic decisions and enhance client services. Collaborating with product and service teams, you will translate data needs into technical solutions. You will report to the VP Business Growth and engage with external stakeholders, primarily clients. Your technical skills should include proficiency in Python (Pandas, NumPy), SQL, and Java, along with experience in LLMs, LangChain, Generative AI technologies, ML frameworks (TensorFlow, PyTorch), and data engineering tools (Spark, Kafka). Soft skills such as the ability to work independently or in a team, excellent communication, critical thinking, problem-solving abilities, and a proactive approach in dynamic environments are essential. Academic qualifications entail a Bachelor's Degree in Computer Science, Data Analytics, Engineering, or a related field, with 3 to 5 years of experience in Data Science and Data Engineering. Proficiency in key data engineering concepts and strong communication skills are crucial for success in this role.,

As a highly skilled Senior Gen AI Engineer, you will be responsible for developing and deploying AI solutions across various domains. Your role will involve designing and implementing deep learning models, utilizing large language models, working with databases for data management and analysis, and implementing AI solutions on cloud platforms like Azure and AWS. Additionally, you will develop containerized applications using Docker and other containerization tools to drive business value and enhance operational efficiency. To qualify for this role, you should have a Bachelor's degree in computer science, engineering, or a related field from Tier 1 colleges. You should possess at least 3 years of experience in AI/ML, particularly in computer vision, generative AI, and NLP. Proficiency in programming languages such as Python and C is essential, along with a strong background in deep learning and large language models. Familiarity with various databases and vector databases, as well as hands-on experience with cloud services and containerization tools like Docker and Kubernetes, are also required. If you are passionate about AI and have a proven track record in developing and deploying AI solutions, this role offers an exciting opportunity to contribute to cutting-edge projects that drive innovation and business growth. Join our team in Pune/Bangalore and be part of a dynamic work environment that supports hybrid work mode.,

We are looking for a highly motivated and skilled Senior Fullstack Engineer to become a part of our dynamic engineering team. The ideal candidate should possess a strong command of Python for backend development, expertise in React for creating intuitive user interfaces, and a solid understanding of both SQL and NoSQL databases. In addition, familiarity with leveraging Generative AI tools to enhance productivity, improve code quality, and explore innovative solutions is highly desirable. As a Senior Fullstack Engineer, your primary responsibilities will include designing, developing, and deploying robust and scalable enterprise cloud applications from inception to production. This role offers an excellent opportunity for individuals who excel in fast-paced environments and are enthusiastic about crafting cutting-edge technology while embracing the capabilities of AI-assisted development. Key Responsibilities: - Design, develop, and maintain high-performance, secure, and scalable cloud applications utilizing Python (e.g., Django, Flask, FastAPI) for the backend. - Develop responsive and interactive user interfaces with React.js to ensure a seamless user experience. - Collaborate with product managers, designers, and fellow engineers to comprehend requirements, define technical specifications, and deliver features within designated timelines. - Manage and optimize data storage solutions, working with both SQL (e.g., PostgreSQL, MySQL, Cloud SQL) and NoSQL databases (e.g., MongoDB, Redis, Firestore, Datastore). - Implement and maintain RESTful APIs and microservices. - Architect, deploy, and manage applications and services on Google Cloud Platform (GCP). - Write clean, well-documented, and testable code following best practices. - Actively utilize Generative AI tools for code generation, debugging, refactoring, and exploring new approaches. - Participate in code reviews, offering constructive feedback to team members. - Troubleshoot and resolve production issues to ensure high availability and performance. - Stay abreast of the latest industry trends, technologies, and best practices in fullstack development and Generative AI. - Contribute to enhancing development processes and tools for continuous improvement. Required Skills & Qualifications: - Bachelor's degree in computer science, Engineering, or a related field (or equivalent practical experience). - 3-6 years of professional experience in fullstack cloud application development. - Strong proficiency in Python for backend development (e.g., Django, Flask, FastAPI). - Expertise in React.js and its ecosystem (Redux, Context API, Hooks, etc.). - Solid understanding of HTML5, CSS3, and JavaScript (ES6+). - Proficiency with SQL databases (e.g., PostgreSQL, MySQL, Cloud SQL) and experience in database design, querying, and optimization. - Experience with NoSQL databases (e.g., MongoDB, Redis, Cassandra, Firestore, Datastore) and understanding of their use cases. - Experience with Docker and Kubernetes, particularly GKE. - Demonstrated experience or strong familiarity with Generative AI tools like GitHub Copilot, Google Gemini, ChatGPT, or similar AI code assistants. - Understanding of software development best practices, including testing, continuous integration, and continuous delivery (CI/CD). - Excellent problem-solving, analytical, and communication skills. - Ability to work independently and collaboratively within a team. Bonus Skills: - Familiarity with GCP's AI/ML services (e.g., Vertex AI). Job Types: Full-time, Permanent Benefits: - Health insurance - Provident Fund Application Question(s): - Work from Office Education: - Bachelor's degree (Required) Experience: - Python: 3 years (Required) - React: 3 years (Required) Language: - English (Required) Location: - Hyderabad, Telangana (Required) Work Location: In person,

As a Vulnerability Management Specialist at Amdocs, you will play a crucial role in leading, implementing, identifying, assessing, and mitigating security vulnerabilities across our infrastructure, including cloud environments. Your responsibilities will include conducting regular vulnerability scans, analyzing scan results, prioritizing vulnerabilities, collaborating with stakeholders to implement remediation plans, and overseeing patch deployment processes to ensure timely remediation. You will also perform risk and vulnerability assessments, document findings, engage with stakeholders to address risks, and oversee risk acceptance and exclusion processes. Additionally, you will monitor container security and cloud security posture, provide threat management support, respond to identified threats effectively, maintain comprehensive reports on vulnerability findings and trends, and support security audits and compliance requirements related to vulnerability management. To excel in this role, you should have 6-9 years of experience in vulnerability management and threat management, hands-on experience with vulnerability scanning tools such as Wiz, Rapid7, Nessus, CrowdStrike, MDE, and Axonius, proficiency in container security, On-prem and Cloud Vulnerability Management, and experience with cloud platforms like AWS, Azure, or GCP. You should also be familiar with risk acceptance and exclusion processes, have a basic understanding of Generative AI (GenAI) concepts, possess strong analytical skills, attention to detail, excellent communication, and stakeholder management skills. Moreover, you should have a good understanding of Security Frameworks and Standards such as NIST, CIS, PCI-DSS, and experience leading a team of Vulnerability Analysts. Preferred qualifications for this role include experience with other security tools and frameworks, data visualization tools like Power BI, AWS Quicksight, scripting and automation experience in Python, Go, and security certifications like CISSP, CISM, or CEH. By joining Amdocs as a Vulnerability Management Specialist, you will have the opportunity to work with industry-leading technologies and experts in a global company, evolve yourself in cutting-edge technologies and business trends, and collaborate with a great team. Amdocs is an equal opportunity employer that welcomes applicants from all backgrounds and is committed to fostering a diverse and inclusive workforce.,

As an AI / ML Engineer, you will be responsible for utilizing your expertise in the field of Artificial Intelligence and Machine Learning to develop innovative solutions. You should hold a Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI/ML, Mathematics, or a related field. With a minimum of 6 years of experience in AI/ML, you are expected to demonstrate proficiency in Python and various ML libraries such as scikit-learn, XGBoost, pandas, NumPy, matplotlib, and seaborn. In this role, you will need a strong understanding of machine learning algorithms and deep learning architectures including CNNs, RNNs, and Transformers. Hands-on experience with TensorFlow, PyTorch, or Keras is essential. You should also have expertise in data preprocessing, feature selection, exploratory data analysis (EDA), and model interpretability. Additionally, familiarity with API development and deploying models using frameworks like Flask, FastAPI, or similar tools is required. Experience with MLOps tools such as MLflow, Kubeflow, DVC, and Airflow will be beneficial. Knowledge of cloud platforms like AWS (SageMaker, S3, Lambda), GCP (Vertex AI), or Azure ML is preferred. Proficiency in version control using Git, CI/CD processes, and containerization with Docker is essential for this role. Bonus skills that would be advantageous include familiarity with NLP frameworks (e.g., spaCy, NLTK, Hugging Face Transformers), Computer Vision experience using OpenCV or YOLO/Detectron, and knowledge of Reinforcement Learning or Generative AI (GANs, LLMs). Experience with vector databases such as Pinecone or Weaviate, as well as LangChain for AI agent building, is a plus. Familiarity with data labeling platforms and annotation workflows will also be beneficial. In addition to technical skills, you should possess soft skills such as an analytical mindset, strong problem-solving abilities, effective communication, and collaboration skills. The ability to work independently in a fast-paced, agile environment is crucial. A passion for AI/ML and a proactive approach to staying updated with the latest developments in the field are highly desirable for this role.,

As a Director of AI Lab at McDonalds Corporation, you will play a crucial role in driving research and evaluation of cutting-edge AI technologies to enhance the organization's innovation and AI strategy. Your primary responsibilities will include defining and executing a comprehensive AI ecosystem strategy aligned with business goals, leading a team of AI experts, overseeing the development of advanced AI models, fostering collaboration with internal and external stakeholders, and promoting ethical AI practices. Your strategic vision will involve identifying high-impact AI use cases, establishing a roadmap for AI development, and prioritizing research initiatives. You will be expected to build and manage a high-performing team of AI professionals, create a culture of innovation and experimentation, and provide mentorship for career development. Additionally, you will lead the development of advanced AI models, conduct research to explore new techniques, and validate AI solutions through proof-of-concept projects. Collaboration and stakeholder management will be essential aspects of your role, as you partner with cross-functional teams to implement AI solutions, communicate technical concepts to non-technical stakeholders, and build relationships with external partners to enhance the AI ecosystem community. Furthermore, you will champion ethical AI practices by ensuring data privacy, fairness, and responsible development of AI models, while establishing guidelines for data governance and model transparency. To qualify for this position, you should possess a Bachelor's degree in data science, Computer Science, Business, or Analytics, with a preference for a Masters or PhD. You should have 15+ years of experience in AI/ML or related fields, with hands-on experience in building and deploying AI solutions. Proficiency in programming languages such as Python, R, or Java, as well as experience with AI/ML frameworks like TensorFlow and PyTorch, is required. Familiarity with AI techniques such as deep learning, reinforcement learning, generative AI, Agentic AI, and Edge AI is essential, along with experience in ML frameworks and large-scale AI system design. Start-up and entrepreneurship experience will be considered a plus, and the ability to effectively communicate complex AI concepts to non-technical stakeholders is crucial. This full-time role is based in Hyderabad, India, and follows a hybrid work mode. If you are a seasoned AI professional with a passion for driving innovation and leading high-performing teams, we invite you to join us at McDonalds Corporation and make a significant impact on our global AI strategy.,

You are seeking a dynamic professional with 1-2 years of hands-on experience in data science and generative AI. The ideal candidate will have a strong foundation in machine learning techniques, generative AI, RAG, and experience with productionizing ML models, preferably in cloud environments. Additionally, experience in developing and implementing Agentic AI systems for context-aware and dynamic solutions is highly desirable. You will be responsible for developing and implementing state-of-the-art techniques in Large Language Models (LLM) and Generative AI. This includes designing and implementing RAG (Retrieval-Augmented Generation) techniques to enhance LLM-based systems by integrating external knowledge for dynamic and contextually accurate responses. You will also be developing and integrating Agentic AI systems to enable dynamic, context-aware decision-making. Other responsibilities include ML Model building and deployment on the cloud, leveraging MLOPS techniques, building end-to-end model pipelines, and staying abreast of industry trends, emerging technologies, and advancements in AI/ML. To qualify for this role, you should hold a Bachelors or Masters degree in computer science, Data Science, or a related field. You should have 1-2 years of practical experience in AI/ML and data science, with a proven track record in the field of Large Language Models (LLM) and Generative AI. Demonstrated experience in developing and implementing Agentic AI systems for context-aware and dynamic solutions is required. Hands-on experience with RAG techniques, including integrating external knowledge bases into generative AI workflows, and experience with MLOPS and building end-to-end model pipelines on any cloud environment are essential. Excellent problem-solving skills and the ability to work in a collaborative environment are also key qualifications for this position. If you meet these qualifications and are looking for an opportunity to enhance your career in the field of Data Analytics and AI, we encourage you to apply for this position with us at Cittabase.,

You will be working as an AI Engineer specializing in Localization within the AI/ML business unit based in Bangalore. With 2-5 years of experience and a degree in B.E / B.Tech / MS in computer science, you will have the following roles and responsibilities: - As an AI engine creator, you will be involved in training new models, integrating existing models, and applying transfer learning techniques. - Join a dynamic team working on cutting-edge AI solutions for the Media and Entertainment industry. Contribute actively to the development and enhancement of new AI solutions. - Collaborate with Gen AI / LLM solutions, focusing on prompt engineering and prompt optimization for optimal results extraction. - Develop sophisticated solutions that simplify complexity for customers while ensuring cost-effectiveness and efficiency. - Fine-tune accuracies and explore innovative approaches to enhance hypothesis without overfitting. - Demonstrate the ability to handle ambiguity and take the lead in solving industry challenges with little historical reference. - Provide technical and thought leadership within the team. - Possess hands-on experience in Localization, Speech to text, Transcription, and Translation. - Expertise in Computer vision, Open CV, TensorFlow, PyTorch, Python, Neural networks, CNNs, GenAL, Generative AI, LLMs, Prompt engineering, AWS or Azure cloud, Dockers, and K8s/Kubernetes is essential. - Knowledge of GANs, Nano models, Google LLMs (Bard, Gemini), and Hugging face models (Mistral, etc) would be an additional advantage. In addition to your responsibilities, you may also be involved in inventing and patenting new technologies to further enhance AI solutions in the industry.,

As a Client Solutions Partner specializing in Telecom and AI/Generative AI (GenAI), you will play a pivotal role in advising and guiding telecom clients on leveraging AI technologies to drive innovation, enhance customer experiences, and unlock growth opportunities. Your responsibilities will include building and nurturing strong relationships with key decision-makers, designing and implementing tailored AI solutions, identifying new business opportunities, and ensuring the successful delivery of AI/GenAI initiatives. You will collaborate closely with clients to understand their unique challenges and needs, providing strategic guidance on how AI and GenAI solutions can transform their operations and offerings. Your expertise in AI, machine learning, and generative AI technologies will be essential in designing solutions that address telecom pain points, such as predictive maintenance, network optimization, customer personalization, and automation. In addition to client engagement and solution design, you will lead consultative sales efforts, manage end-to-end project delivery, and work cross-functionally with sales, engineering, product, and support teams to ensure client objectives are met. Your role will also involve advocating for client needs within the organization, monitoring solution performance and ROI, and continuously seeking opportunities for improvement and value creation. To excel in this role, you should possess a Bachelor's degree in a relevant field, proven experience in client-facing roles within the telecom industry, and a deep understanding of AI technologies as applied to telecom operations. Strong communication, presentation, and project management skills are essential, along with a collaborative mindset and the ability to work effectively with diverse teams. Preferred qualifications include experience with telecom-specific AI applications, familiarity with AI platforms and tools, a background in data science or machine learning engineering, and knowledge of AI ethics and regulations in telecom environments. By staying informed about the latest AI trends and technologies, you will be able to provide clients with innovative solutions that drive business success and create lasting value.,

Line of Service Advisory Industry/Sector Not Applicable Specialism Risk Management Level Manager Job Description & Summary At PwC, our people in audit and assurance focus on providing independent and objective assessments of financial statements, internal controls, and other assurable information enhancing the credibility and reliability of this information with a variety of stakeholders. They evaluate compliance with regulations including assessing governance and risk management processes and related controls. Those in internal audit at PwC help build, optimise and deliver end-to-end internal audit services to clients in all industries. This includes IA function setup and transformation, co-sourcing, outsourcing and managed services, using AI and other risk technology and delivery models. IA capabilities are combined with other industry and technical expertise, in areas like cyber, forensics and compliance, to address the full spectrum of risks. This helps organisations to harness the power of IA to help the organisation protect value and navigate disruption, and obtain confidence to take risks to power growth. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firms growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary We are seeking an experienced and dynamic Lead Developer with a strong background in Machine Learning (ML), Artificial Intelligence (AI) and Generative AI to join our team. The ideal candidate will have 9-12 years of hands-on experience in analyzing data, building advanced analytics models, and leveraging cutting-edge AI and Generative AI technologies to derive actionable insights. This role requires a combination of deep technical expertise, strong analytical capabilities, and a proven ability to work in a collaborative and innovative environment. Responsibilities: Architecture Design: Design and implement scalable, secure, and high-performance architectures for Generative AI applications. Integrate Generative AI models into existing platforms, ensuring compatibility and performance optimization. Model Development And Deployment: Fine-tune pre-trained generative models for domain-specific use cases. Data Collection, Sanitization and Data Preparation strategy for Model fine tuning. Well versed with machine learning algorithms like Supervised, unsupervised and Reinforcement learnings, Deep learning. Well versed with ML models like Linear regression, Decision trees, Gradient boosting, Random Forest and K-means etc. Evaluate, select, and deploy appropriate Generative AI frameworks (e.g., PyTorch, TensorFlow, Crew AI, Autogen, Langraph, Agentic code, Agent flow). Innovation And Strategy: Stay up to date with the latest advancements in Generative AI and recommend innovative applications to solve complex business problems. Define and execute the AI strategy roadmap, identifying key opportunities for AI transformation. Good exposure to Agentic Design patterns Collaboration And Leadership: Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders. Mentor and guide team members on AI/ML best practices and architectural decisions. Should be able to lead a team of data scientists, GenAI engineers and Software Developers Performance Optimization: Monitor the performance of deployed AI models and systems, ensuring robustness and accuracy. Optimize computational costs and infrastructure utilization for large-scale deployments. Ethical And Responsible AI: Ensure compliance with ethical AI practices, data privacy regulations, and governance frameworks. Implement safeguards to mitigate bias, misuse, and unintended consequences of Generative AI. Mandatory Skill Set: Advanced programming skills in Python and fluency in data processing frameworks like Apache Spark. Experience with machine learning, artificial Intelligence frameworks models and libraries (TensorFlow, PyTorch, Scikit-learn, etc.). Should have strong knowledge on LLMs foundational model (OpenAI GPT4o, O1, Claude, Gemini etc), while need to have strong knowledge on opensource Models like Llama 3.2, Phi etc. Proven track record with event-driven architectures and real-time data processing systems. Familiarity with Azure DevOps and other LLMOps tools for operationalizing AI workflows. Deep experience with Azure OpenAI Service and vector DBs, including API integrations, prompt engineering, and model fine-tuning. Or equivalent tech in AWS/GCP. Knowledge of containerization technologies such as Kubernetes and Docker. Comprehensive understanding of data lakes and strategies for data management. Expertise in LLM frameworks including Langchain, Llama Index, and Semantic Kernel. Proficiency in cloud computing platforms such as Azure or AWS. Exceptional leadership, problem-solving, and analytical abilities. Superior communication and collaboration skills, with experience managing high-performing teams. Ability to operate effectively in a dynamic, fast-paced environment. Preferred Skill Set: Experience with additional technologies such as Datadog, and Splunk. Programming languages like C#, R, Scala Possession of relevant solution architecture certificates and continuous professional development in data engineering and Gen AI. Year Of Experience Required: 9-12 years Education Qualification BE / B.Tech / MCA / M.Sc / M.E / M.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Technology, Bachelor of Engineering Degrees/Field Of Study Preferred: Certifications (if blank, certifications not specified) Required Skills Python (Programming Language) Optional Skills Accepting Feedback, Accepting Feedback, Accounting and Financial Reporting Standards, Active Listening, Analytical Thinking, Artificial Intelligence (AI) Platform, Auditing, Auditing Methodologies, Business Process Improvement, Coaching and Feedback, Communication, Compliance Auditing, Corporate Governance, Creativity, Data Analysis and Interpretation, Data Ingestion, Data Modeling, Data Quality, Data Security, Data Transformation, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Financial Accounting + 29 more Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship No Government Clearance Required No Job Posting End Date Show more Show less

Entity : - Accenture Strategy & Consulting Team : - Global Network - Data & AI Practice : - Banking & Financial Services Analytics Title : - Consultant Level 9 Job location : - Bengaluru, Gurugram, Mumbai About S&C - Global Network Data & AI : - Accenture Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling to outperform the competition. Role Overview : - As an experienced financial services professional, your market-leading industry, management and technology expertise will provide critical solutions that answer unparalleled strategic, operational, technology and sourcing demands. And, in doing so, you&aposll improve the future of the global financial services industry. Accenture serves the world&aposs leading financial services organisations across three industry groups Central Banks: Monetary authorities, reserve banks across globe Banking : Retail and commercial banks and diversified financial institutions. Capital Markets : Investment banks, broker/dealers, asset & wealth management firms, depositories, exchanges, clearing & settlement organisations. Whats In It For You Youll be part of a diverse, vibrant, global Accenture data science community, continually pushing the boundaries of analytical capabilities Get to work with top financial clients globally Build new skills, grow existing skills, develop new areas of expertise within functional and technical areas of business Get access to resources that will allow you to leverage the latest technologies and bring innovation to life with the worlds most recognizable companies What You Would Do In This Role Work closely with clients to understand their business goals and challenges. Develop data strategies aligned with business objectives and industry best practices. Collaborate with business stakeholders to understand analytical requirements and deliver actionable insights Identification of key business questions through data collection and ETL, and from performing analyses and using a wide range of statistical, machine learning, and applied mathematical techniques to delivery insights Develop and implement predictive models to assess and manage financial risks, leveraging advanced data science techniques. Build predictive models to assess and maximize Customer Lifetime Value, enabling targeted retention and acquisition strategies. Help in responding to RFPs and design POVs Working across client teams to develop and architect Generative AI solutions using ML and GenAI Implement data security measures to safeguard sensitive financial information and ensure adherence to industry standards. Show more Show less

Why project44 At project44, we believe in better. We challenge the status quo because we know a better supply chain isnt just possibleits essential. Better for our customers. Better for their business. Better for the world. With our Decision Intelligence Platform, Movement , were redefining how global supply chains operate. By transforming fragmented logistics data into real-time, AI-powered insights, we empower companies to connect instantly, see clearly, act decisively, and automate intelligently. Our Supply Chain AI enhances visibility, drives smarter execution, and unlocks next-gen applications that keep businesses moving forward. Headquartered in Chicago, IL with a 2nd HQ in Bengaluru, India we are powered by a diverse global team that is tackling the toughest logistics challenges with innovation, urgency, and purpose. If youre driven to solve meaningful problems, leverage AI to scale rapidly, drive impact daily, and be part of a high-performance team we should talk. About the Role: We are seeking a Sr. Staff Content Strategist to join our Product Design team. This role is pivotal in driving user adoption and engagement through clear, compelling, and educational content across the entire product experience. You will own the end-to-end content strategyfrom release notes and in-product tutorials to help center documentation and video walkthroughs. Youll collaborate closely with Product, Engineering, Design, and Marketing to ensure our users are informed, empowered, and successful. As a Sr. Staff Content Startegist , you are not just a writeryou are a strategic communicator who understands how to deliver the right message, in the right format, at the right time. You thrive in a fast-paced environment and are passionate about simplifying complex concepts for diverse audiences. Responsibilities: Own the creation and maintenance of all user-facing content including: Product documentation Release notes In-product tooltips and onboarding flows Video tutorials and walkthroughs Help center articles and FAQs Collaborate with Product Managers, Engineers, Designers, and Customer Success to understand new features and translate them into user-friendly content. Develop and execute a content strategy that supports user adoption, onboarding, and self-service. Conduct regular audits of the Knowledge Base and in-product content to ensure accuracy, consistency, and relevance. Analyze content performance and user feedback to continuously improve clarity, engagement, and effectiveness. Partner with Marketing to align product messaging across channels and ensure consistency in tone and terminology. Contribute to the administration and optimization of our content management and delivery tools (e.g., CMS, video platforms, analytics tools). Advocate for content best practices and user-centered communication across the organization. Qualifications: 8+ years of experience in content strategy, technical writing, instructional design, or a related fieldpreferably in a SaaS environment. Proven ability to create content that drives user engagement and product adoption. Strong portfolio showcasing a range of content types (e.g., documentation, videos, in-app messaging, tutorials). Experience writing for multiple audiences including end users, developers, and internal stakeholders. Familiarity with public APIs, SDKs, and developer documentation is a plus. Comfortable working with analytics tools to measure content effectiveness. Experience leveraging AI tools (e.g., generative AI, content automation, or AI-enhanced writing assistants) to streamline content creation, improve scalability, and enhance user experience. Self-starter with excellent project management skills and the ability to manage multiple priorities. Experience with tools such as Confluence, Zendesk, MadCap Flare, Camtasia, or similar platforms. Knowledge of the logistics or supply chain industry is a plus. Diversity & Inclusion At project44, we&aposre designing the future of how the world moves and is connected through trade and global supply chains. As we work to deliver a truly world-class product and experience, we are also intentionally building teams that reflect the unique communities we serve. Were focused on creating a company where all team members can bring their authentic selves to work every day. Were building a company that every one of us at project44 is proud to work for, and our journey of becoming a more diverse, equitable and inclusive organization, where all have a sense of belonging, is shaped through the actions of our leadership, global teams and individual team members. We are resolute in our belief that each team member has an equal responsibility to mold and uphold our culture. project44 is an equal opportunity employer seeking to enrich our work environment by creating opportunities for individuals of all backgrounds and experiences to thrive. If you share our values and our passion for helping the way the world moves, wed love to review your application! Show more Show less

As an AI/ML Expert specializing in Generative AI at SI-Insights, you will be responsible for developing and implementing advanced generative AI models. Your role will involve analyzing data to extract valuable insights, working closely with other teams to seamlessly integrate AI solutions, and keeping abreast of the latest trends and technologies in the field of AI/ML. To excel in this position, you should possess a strong background in developing and implementing generative AI models, along with proficiency in data analysis to derive actionable insights. Your in-depth knowledge of AI/ML technologies and tools will be crucial, and the ability to collaborate effectively with cross-functional teams is essential. Strong problem-solving and critical thinking skills will further enhance your performance in this role. Ideally, you hold a Master's degree in Computer Science, Data Science, or a related field. Prior experience in the market research or digital media industry would be advantageous, although not mandatory. Join us at SI-Insights, where we leverage cutting-edge research and data analytics tools to provide our clients with strategic business insights and solutions.,

Our client is looking for a talented and experienced LLM Lead to contribute to the development of cutting-edge AI-driven products. In this role, you will work closely with a diverse team of engineers, guiding the technical direction and ensuring the delivery of high-quality, innovative solutions within the AI and machine learning domain. A successful candidate will possess a blend of technical expertise, leadership skills, and practical experience in developing machine learning systems and models. As an LLM Lead, your responsibilities will include leading the design, development, and deployment of Machine Learning models and systems, with a particular emphasis on Generative AI and LLM-based technologies. You will also be responsible for formulating and executing strategies related to prompt engineering, Retrieval-Augmented Generation (RAG), and agents to enhance the organization's AI capabilities. Additionally, you will drive the technical roadmap for the engineering team, ensuring that it aligns with project goals and timelines. Your role will also involve providing technical expertise and hands-on programming support in Python, Langchain, and SQL, as well as collaborating with cross-functional teams and business subject matter experts to understand requirements and effectively communicate technical concepts. Moreover, you will utilize Cloud services (such as Azure, GCP, or AWS) to facilitate scalable and efficient model deployment. The ideal candidate for this position should have 7-10+ years of experience in building and implementing Machine Learning models and systems, along with at least 1 year of hands-on experience in Large Language Models (LLMs) and Generative AI techniques, including prompt engineering, RAG, and agents. Demonstrated experience in leading engineering teams and steering the technical roadmap is essential, as well as proficiency in Python, Langchain, and SQL. A strong grasp of Cloud services, such as Azure, GCP, or AWS, is crucial. Effective communication skills are also necessary to collaborate successfully with business stakeholders, and a hands-on problem-solving approach is highly valued. Preferred qualifications for this role include experience in deploying LLMs for real-world applications and a background in developing scalable AI solutions in a production environment. In conclusion, if you are passionate about AI and machine learning and possess the requisite skills and experience, we invite you to join our team and contribute to our mission of developing innovative AI-driven products.,

As a Senior AI Architect at Dailoqa, you will have the opportunity to shape the future of AI within the financial services industry. Dailoqa is a dynamic company at the forefront of combining human expertise with artificial intelligence to address complex challenges in the financial sector. Led by a global team of former CIOs and industry leaders, we are focused on making a high impact with our innovative solutions. To be successful in this role, you should have over 15 years of experience in the tech industry, with a minimum of 8 years specifically in machine learning and data science, and 4-5 years in Generative AI. You should possess a track record of developing scalable AI solutions tailored for enterprise applications. Additionally, you should have deep expertise in GenAI, NLP, Computer Vision, LLMs, and RAG strategies. Proficiency in Python, REST APIs, NoSQL, RDBMS, and cloud platforms such as Azure, OpenAI, Databricks, and Synapse is essential. At Dailoqa, your responsibilities will include collaborating with financial services clients worldwide, designing end-to-end AI solutions that deliver tangible business value, leading agile cross-functional teams, and working in a fast-paced, innovation-driven environment. This role offers the opportunity for rapid growth and the chance to play a significant role in shaping the company's future. We are seeking individuals who are passionate about leadership, mentoring, and innovation. If you thrive in a fast-paced, customer-focused, and mission-driven environment that values simplicity, agility, and impact, Dailoqa could be the perfect fit for you. If you are looking to be part of a team that is committed to building the future of AI and are eager to be fully immersed in a dynamic, forward-thinking organization, we encourage you to apply. Please submit your resume to Arundhati@manasamitr.com to be considered for this exciting opportunity. Join us at Dailoqa and be a part of a team that is dedicated to revolutionizing the financial services industry through the power of artificial intelligence. #AIJobs #GenerativeAI #SeniorAIArchitect #TechJobs #ML #FinTech #Dailoqa #ArtificialIntelligence #Hiring #AILeadership,

Genpact is a global professional services and solutions firm dedicated to delivering outcomes that shape the future. With a workforce of over 125,000 individuals spanning across 30+ countries, we are motivated by our innate curiosity, entrepreneurial agility, and commitment to creating enduring value for our clients. Fueled by our purpose - the relentless pursuit of a world that works better for people - we cater to and transform leading enterprises, including the Fortune Global 500, leveraging our profound business and industry expertise, digital operations services, and proficiency in data, technology, and AI. We are currently looking for a Senior Manager, Salesforce AI Technical Architect to join our team! As a highly skilled Salesforce Technical Architect, you will be responsible for designing, implementing, and deploying Salesforce solutions that align with our business objectives and best practices. Your role will involve developing and configuring solutions on the Salesforce platform, integrating Salesforce with other business systems, and leveraging technologies such as Agentforce, Salesforce Chatbot, Einstein AI, Data Science, and Generative AI to enhance customer service capabilities and drive business value. Key Responsibilities: - Lead the design, implementation, and deployment of Salesforce solutions in alignment with business objectives. - Develop and configure solutions using the Salesforce platform, including Apex, Lightning Web Components (LWC), and platform configuration. - Integrate Salesforce with other business systems to ensure seamless data flow and functionality. - Utilize Agentforce to enhance AI-driven customer service capabilities. - Implement and optimize Salesforce Chatbots to improve customer engagement and support. - Leverage Einstein AI to develop intelligent solutions that drive business value. - Apply Data Science methodologies to analyze complex business problems and generate actionable insights. - Develop and implement Generative AI models to enhance business processes and customer experiences. - Oversee the deployment of Salesforce solutions into production environments, ensuring stability, scalability, and performance. - Collaborate with cross-functional teams to understand requirements and deliver solutions that meet business needs. - Provide technical leadership and mentorship to development teams. - Stay updated with the latest Salesforce features and technologies, advocating for their adoption when beneficial. Qualifications: - Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field. - Relevant years of experience as a Salesforce Technical Architect. - Salesforce certifications such as Salesforce Certified Technical Architect, Salesforce Certified AI Specialist, or equivalent. - Hands-on experience with Apex, Lightning Web Components (LWC), platform configuration, data modeling, and integrations. - Expertise in Agentforce, Salesforce Chatbot, and Einstein AI. - Strong background in Data Science, including experience with data analysis, statistical modeling, and machine learning techniques. - Proven experience with Generative AI models and their application in business contexts. - Demonstrated experience in deploying Salesforce solutions into production environments, ensuring best practices in deployment and post-deployment support. - Strong understanding of AI, Large Language Models (LLM), and Natural Language Processing (NLP) ecosystems. - Proven ability to design scalable, maintainable, and robust Salesforce solutions. - Excellent problem-solving skills and the ability to work independently. - Strong communication and interpersonal skills, with the ability to interact effectively with both technical and non-technical stakeholders. Join us in our quest to shape the future and create a world that works better for everyone. Apply now for the role of Senior Manager, Salesforce AI Technical Architect at Genpact!,

As a Ph.D. Data Scientist at PTS Consulting Services, you will be joining a dynamic team focused on advancing AI-driven solutions and conducting cutting-edge research in the areas of Artificial Intelligence (AI), Natural Language Processing (NLP), and Natural Language Understanding (NLU), as well as Generative AI. Your role will be pivotal in contributing to the development and implementation of advanced machine learning models and algorithms for various NLP and NLU tasks. Additionally, you will be responsible for analyzing large and complex datasets to extract valuable insights, training and evaluating machine learning models, developing relevant features from textual data, and collaborating with cross-functional teams to deliver comprehensive solutions. Furthermore, you will play a key role in continuously optimizing algorithms and models for efficiency and accuracy, documenting research findings, and staying updated with the latest advancements in AI, NLP, and NLU through continuous learning and participation in conferences and workshops. To qualify for this position, you must hold a Ph.D. in Computer Science, Data Science, Machine Learning, or a related field, with proven expertise in AI, NLP, and NLU, demonstrated through a strong publication record in relevant conferences and journals. Proficiency in programming languages such as Python and libraries like NLTK, TensorFlow, PyTorch, or spaCy, experience with deep learning techniques and frameworks, and strong knowledge of statistical analysis, machine learning, and data mining are essential requirements. Additionally, familiarity with data preprocessing techniques for unstructured text data, excellent problem-solving skills, and the ability to work on complex research problems are crucial. Strong communication skills and the ability to explain technical concepts to non-technical stakeholders are also desired qualities. Experience with cloud computing platforms, such as AWS or Azure, would be considered a plus. Join us at PTS Consulting Services and be a part of our journey towards major growth, where we value our clients and employees alike through a strong employee engagement culture. Come be a part of our team and contribute to the success of our AI-driven solutions and research efforts in the field of AI, NLP, NLU, and Generative AI.,

Do you have a passion for pushing the boundaries of innovation Are you excited about AI's potential to improve the human experience Then come join the ride! Cerence ai is the global leader in AI for transportation, specialized in building AI and voice-powered companions for cars, two-wheelers, and more that enable people to focus on what matters most. With over 500 million cars shipped with Cerence ai technology, we partner with leading automakers (such as Volkswagen, Mercedes, Audi, Toyota and many more), mobility providers, and technology companies to power intuitive, integrated experiences that create safer, more connected, and more enjoyable journeys for drivers and passengers alike. Our team is dedicated to pushing the boundaries of AI innovation, working around the globe with headquarters in Burlington, Massachusetts, USA and 16 other offices across Europe, Asia, and North America. We bring together diverse backgrounds and varied skill sets with the shared goal of advancing the next generation of transportation user experiences. Our culture is customer-centric, collaborative, fast-paced, and fun, with continuous opportunities for learning and development to support your career growth. We are seeking a highly skilled and innovative Automatic Speech Recognition (ASR) Senior Research Engineer to join our dynamic team. The ideal candidate will have a robust background in developing and implementing ASR models specifically for automotive voice assistants. The person should be well-versed in the latest advancements in speech recognition technology, including generative AI, large language models (LLMs), and next-generation ASR frameworks. Your Impact: - Leverage your expertise to effectively train, fine-tune, and optimize Large Language Models (LLMs) to achieve optimal accuracy, naturalness, efficiency, and scalability. - Collaborate with cross-functional teams to seamlessly integrate LLM-based features and functionalities. - Design and implement software components and modules to integrate LLM capabilities into Cerence's speech recognition and natural language understanding systems. - Conduct thorough testing and validation of LLM-based features to ensure high performance, reliability, and robustness in real-world scenarios. - Stay up-to-date with the latest advancements, trends, and research in AI and natural language processing (NLP) technologies to enhance the overall performance of our systems continually. What you bring: - Demonstrated expertise in creating Natural Language Processing (NLP) solutions using Deep Learning techniques, with a focus on integrating Large Language Models. - An advanced degree in computer science, computational linguistics, or a related field. - Highly proficient in Python and Deep Learning frameworks such as Tensorflow or PyTorch. - Experience with training and fine-tuning large language models using large-scale datasets and distributed computing environments. - Excellent problem-solving skills, attention to detail, analytical thinking, and a collaborative mindset to work effectively within our fast-paced and innovative environment. What We Offer: - Annual bonus opportunity - Insurance coverage - Paid time off - Paid holidays - Equity-based awards for some positions and levels - Remote and/or hybrid work available depending on position. Cerence Inc. (Nasdaq: CRNC and www.cerence.com) is the global industry leader in creating unique, moving experiences for the automotive world. As Cerence looks to the future and continues an ambitious growth agenda, we need someone to join the team and help build the future of voice and AI in cars. This is an exciting opportunity to join Cerence's passionate, dedicated, global team and be a part of meaningful innovation in a rapidly growing industry. EQUAL OPPORTUNITY EMPLOYER All prospective and current Employees need to remain vigilant when it comes to executing security policies in the workplace. This includes: - Following workplace security protocols and training programs to familiarize with the ways to maintain a safe workplace. - Following security procedures to report any suspicious activity. - Having respect for corporate security procedures to allow those procedures to be effective. - Adhering to the company's compliance and regulations. - Encouraging to follow a zero tolerance for workplace violence. - Basic knowledge of information security and data privacy requirements (e.g., how to protect data & how to be handling this data). - Demonstrative knowledge of information security through internal training programs.,

As a highly skilled and innovative Automatic Speech Recognition (ASR) Senior Research Engineer at Cerence ai, you will have the opportunity to make a significant impact in the dynamic automotive industry alongside a high-performing global team. Cerence ai is the global leader in AI for transportation, specializing in AI and voice-powered companions for vehicles that enhance the overall driving experience for both drivers and passengers. With over 500 million cars equipped with Cerence ai technology, we collaborate with leading automakers and technology companies to create intuitive, integrated experiences that prioritize safety, connectivity, and enjoyment during journeys. Your role at Cerence ai will involve designing, building, and optimizing cutting-edge ASR models tailored for automotive applications, ensuring high accuracy and low latency in voice recognition tasks. You will be responsible for assessing the performance of ASR systems in real-world driving conditions, including diverse accents and languages, as well as noisy on-road environments. Collaboration with cross-functional teams, including product managers, software engineers, and UX designers, will be essential to seamlessly integrate ASR features into automotive voice assistant systems. Additionally, you will conduct innovative research in ASR technology, focusing on integrating generative AI and large language models to enhance voice interaction capabilities in automotive systems. To excel in this role, you should possess a Master's or Ph.D. in Computer Science & Engineering, Linguistics, Applied Mathematics, or a related field, along with 5+ years of hands-on experience in developing ASR systems, preferably for automotive applications. Proficiency in machine learning frameworks such as TensorFlow and PyTorch, as well as programming languages like Python, is required. Strong knowledge of speech processing technologies, natural language processing, deep learning techniques, and large language models is essential. Prior experience with cloud computing platforms and familiarity with automotive standards and protocols are advantageous. At Cerence ai, we offer a generous compensation and benefits package, including annual bonus opportunities, insurance coverage, paid time off, equity awards, and the option for remote or hybrid work arrangements. Join us in shaping the future of voice and AI in cars and be part of a dedicated team committed to driving innovation in the automotive industry. Cerence Inc. is an equal opportunity employer, and we value diversity, inclusion, and a collaborative work environment where employees can thrive and contribute to meaningful advancements in technology.,

As an AI Engineer at Tiger Analytics in the Data and AI team, you will have the opportunity to work on internal strategic initiatives as well as tackle complex AI/ML challenges for clients. Your role will involve collaborating closely with senior leadership, including one of the founders, to develop an innovative enterprise platform. This platform will serve as a digital twin of existing systems, functioning as an intelligent bot/platform that offers real-time insights and guidance on tasks. If you have a passion for Generative AI, LLMs, and cutting-edge technologies, and enjoy creating high-impact solutions, we invite you to join our team. Your responsibilities will include: - Working with leadership to grasp the vision, scope, and requirements of the enterprise platform. - Designing and constructing a smart, AI-driven platform that optimizes projects with real-time intelligence. - Utilizing advanced technologies like LLMs (Large Language Models) and Generative AI to develop transformative tools. - Integrating the platform seamlessly with existing organizational systems to ensure smooth operations. - Contributing to the development of scalable, reliable, and high-performance software solutions. - Engaging in peer reviews and promoting code quality within the team. The ideal candidate for this role should possess: - 2-6 years of experience in MLE/MLOps/AI Engineering. - Previous exposure to LLMs, Generative AI, or similar AI technologies. - Proficiency in backend development using Python (Django/Flask) or equivalent technologies. - A solid understanding of APIs and microservices architecture. - The ability to collaborate effectively with cross-functional teams in a dynamic environment. - A keen interest in learning and leveraging new technologies to address intricate challenges. At Tiger Analytics, we value diversity and inclusivity. We encourage individuals with varying skill sets and qualities to apply, even if they do not meet all the criteria for the role. We are committed to being an equal opportunity employer, fostering a culture where listening, trust, respect, and personal growth are prioritized. Please note that the job title and compensation will be determined based on your expertise and experience level. Additionally, our competitive compensation packages are designed to be among the best in the industry. In addition to your salary, we offer a range of benefits including health insurance for yourself and your family, access to a virtual wellness platform, and opportunities to engage with various knowledge communities.,

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative, and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data, superpowered by creativity and design, all underpinned by technology created with purpose. Your role will involve participating in executing consulting projects, owning and managing specific work threads, and developing plans for components of engagements in the Insurance Consulting practice. You will work on delivering projects for insurers in areas spanning operations transformation, distribution and marketing transformation, cost reduction, digital transformation, platforms implementation, and automation. Additionally, you will bring in rich knowledge and experience of the Insurance industry to offer trusted advisory on business implications of existing/proposed technology decisions, transformation roadmaps, and challenges to the client's leadership teams. You will also be responsible for managing culturally diverse teams, mentoring/guiding teams for optimum outcomes, establishing and building key relationships with internal and external stakeholders, working with the Capgemini Invent leadership team to build assets - offerings and points of views, supporting business development efforts including proposal preparation, imbuing a strong commercial mindset covering deal pricing, contributing to strong revenue generating activities, and closing sales conversations, as well as supporting team building activities through recruitment, motivation, and learning with a strong focus on people development. Your profile should include a Full Time MBA or PGDM from a reputed institution, with a specialization in insurance preferred, along with 9+ years of experience at a Management or Technology Consulting firm or an equivalent role with a financial services provider or an insurer. Industry domain certifications would be highly desirable in areas of Insurance, e.g., FLMI, ALMI, CPCU, AINS, etc. Insurance Platform certifications or experience, e.g., Duckcreek, Guidewire, Sapiens, Majesco, etc., will be an advantage. Professional certifications on Agile, Project Management, Business Analysis, or technology/tools certifications on BI, Analytics, Automation, etc., would be a plus. Working at Capgemini provides various benefits such as flexible work arrangements to maintain a healthy work-life balance, career growth programs, diverse professions crafted to support you in exploring a world of opportunities, and opportunities to equip yourself with valuable certifications in the latest technologies such as Generative AI. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world while creating tangible impact for enterprises and society. With a responsible and diverse group of 340,000 team members in more than 50 countries, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. The Group reported 2023 global revenues of 22.5 billion.,

At Capgemini Invent, we believe in the power of diversity to drive change. As inventive transformation consultants, we combine our strategic, creative, and scientific capabilities to collaborate closely with clients in delivering cutting-edge solutions tailored to address their challenges of today and tomorrow. Our approach is informed and validated by science and data, superpowered by creativity and design, and all underpinned by purpose-driven technology. In your role, you will be responsible for providing strategic advice and design on the most efficient and compliant methods for Entity Accounting & Close process with SAP S/4HANA. This includes offering expertise in implementing designs in Entity Accounting and Close Process to ensure compliance with IFRS, US GAAP, or other applicable accounting standards. You will lead and support the end-to-end implementation of SAP S/4 HANA Entity Accounting and Closing process, engaging with business stakeholders to design Entity Accounting & Close process. Additionally, you will configure SAP Entity Accounting (SAP S/4HANA Finance) & Closing process to meet specific business requirements, ensuring alignment with IFRS, US GAAP, and local accounting standards. Moreover, you will support the integration of Entity Accounting with other SAP modules and third-party systems, lead business workshops, and train business users on processes using SAP S/4HANA Entity Accounting. To be successful in this role, you should have 8-12 years of proven experience in SAP S/4 HANA Entity Accounting, hands-on experience in sub-modules like SAP FI, and a strong understanding of IFRS, GAAP, and other financial reporting standards. Experience in designing and implementing SAP Finance in SAP ECC or/and in SAP S/4HANA is preferred, along with prior experience in an advisory or finance capacity. Excellent communication and interpersonal skills are essential, as you will be working with senior executives and cross-functional teams. At Capgemini, we value flexible work arrangements to support a healthy work-life balance, offering options such as remote work and flexible work hours. We are committed to your career growth, providing an array of career growth programs and diverse professions to help you explore a world of opportunities. Additionally, you will have the opportunity to equip yourself with valuable certifications in the latest technologies such as Generative AI. Capgemini is a global business and technology transformation partner, dedicated to helping organizations accelerate their transition to a digital and sustainable world while creating tangible impact for enterprises and society. With a diverse team of over 340,000 members in more than 50 countries, our strong heritage of over 55 years has earned the trust of clients worldwide. Capgemini delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, powered by market-leading capabilities in AI, cloud, and data, combined with deep industry expertise and a strong partner ecosystem. The Group reported global revenues of 22.5 billion in 2023.,