490 Gen Ai Jobs

Requirement : Bachelors Degree in technical or quantitative field from an accredited college or university (Masters or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields is preferred) with 10+ years of relevant experience in Machine Learning, Statistics. Strong mathematical background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint. Must have Skills and Experience Excellent communication skill, stakeholder management skill and should be able to frame problem statement into analytical approaches. Should have managed end to end project delivery independently in client facing fast paced environment Should have a strong appetite to do research, getting familiar with latest techniques on GenAI and come up with his/her own approach and experimentation Strong programming experience in Python and SQL/Pyspark Should have strong experience in Machine Learning and forecasting, with actual project experiences for application Strong in GenAI and NLP: Extensive experience in retrieval augmented generation and strong grasp in agents Should have good understanding of transformer architecture and traditional NLP Some familiarity with Computer Vision and Object Detection using common frameworks Experience in creating APIs to develop applications Should have extensive experience in working in Azure ecosystem, including but not limited to understanding of Azure Data factory, Azure Functions etc.

Key Responsibilities: AI Solution Development: Assist in the design and development of generative AI models and solutions for clients across various industries. Work with senior engineers to implement AI models into business processes, ensuring the solutions align with client needs and objectives. Participate in the creation of Proof of Concepts (PoCs) and Minimal Viable Products (MVPs) to demonstrate AI capabilities. Client Project Delivery: Support the delivery of AI solutions for client projects, ensuring timely execution and high-quality outcomes. Collaborate with cross-functional teams to understand client requirements, translate them into technical specifications, and help drive the successful implementation of AI models. Contribute to client presentations and demos, showcasing AI capabilities and how they address specific business challenges. Coding & Implementation: Write, optimize, and implement AI code for model development, integrating generative AI models into scalable production environments. Use tools such as TensorFlow, PyTorch, and cloud platforms like Databricks and Snowflake to build and deploy AI solutions. Collaborate with other engineers on coding best practices, version control, and continuous integration/continuous delivery (CI/CD) processes. Data Management & Integration: Work with data engineering teams to ensure smooth data collection, management, and integration for AI model development. Help integrate AI models with existing data pipelines and systems, ensuring data is processed and utilized effectively for AI model training and deployment. Ensure data quality and adhere to best practices for data governance and privacy when handling sensitive information. Business Development & Practise Building Work closely with business teams and clients to demonstrate the potential of AI and assess its feasibility for solving business challenges. Lead feasibility studies, develop data strategies, support RFP responses, and demo to prospective clients. Data Governance & Security Ensure compliance with data governance policies and industry regulations regarding AI models and data processing. Implement best practices in data privacy, security, and ethical AI, particularly when handling sensitive data. Qualifications & Experience: Educational Background: BSc in Computer Science, Engineering, Statistics, or a related field. Certifications or coursework in AI/ML or data engineering are a plus. (Additionally, if you feel you are the right fit for the listed skills and can demonstrate why you would be a good fit for the role, we are open to all backgrounds that have demonstrated commitment and progression of your skillset through personal and professional engagements. We want to continue to build out our team with the best and brightest minds in the industry, and if you feel you can contribute to our strategic goals and our clients, we would love to hear from you) Work Experience: 3+ years of experience in AI/ML, specifically in the development and deployment of generative AI models. Hands-on experience working with Large Language Models (LLMs) like GPT, BERT, or similar technologies. Familiarity with AI frameworks such as TensorFlow, PyTorch, and cloud platforms like Databricks and Snowflake. Skills: Proficient in coding and optimizing generative AI models, particularly in the areas of prompt engineering and LLMs. Familiarity with AI/ML algorithms and model deployment in cloud environments.

As a member of the Godrej Enterprises Group, you will be responsible for developing and implementing a robust and scalable GenAI architecture that aligns with business objectives. Your role will involve enabling innovation, efficiency, and competitive advantage through GenAI while defining and enforcing GenAI architecture standards and best practices. You will play a key role in defining the overall GenAI architecture roadmap and ensuring model scalability and reliability in production environments. Additionally, you will be tasked with implementing model monitoring and performance optimization strategies to drive continuous improvement. Your responsibilities will also include designing infra architecture for GenAI model training and deployment. You will be expected to define the overall GenAI architecture roadmap and patterns practices, ensuring cost-effectiveness of the GenAI infrastructure. Your role will involve driving innovation and research in GenAI to identify and implement cutting-edge solutions, maintaining a competitive edge, and exploring new business opportunities. You will stay up-to-date with the latest advancements in GenAI through conducting research and experimentation. Conducting regular audits and assessments of GenAI solutions will be a crucial aspect of your role. You will be responsible for conducting code reviews and architecture assessments, putting together an auditing framework with various aspects and scoring methods, and ensuring compliance with ethical guidelines and regulations. Your focus will be on reducing bias and fairness issues in GenAI models through thorough evaluations and assessments. Developing and publishing evaluation metrics will be another key responsibility. You will evaluate and select appropriate GenAI models and frameworks, design a Gen AI auditing framework, and publish metrics on companywide dashboards, external partners and stakeholders, as well as at conferences and events. Additionally, you will contribute to presentation, content development, awareness building, and training initiatives related to Gen AI, focusing on enhancing capabilities and ensuring effective communication of complex concepts to diverse audiences. To qualify for this role, you should hold a BE/Btech in computers or data science and have relevant trainings/certifications in domains like Deep Learning & Core AI/ML, AI & MLOps, Cloud & Software Architecture, Data & AI Engineering, Communication, Model Deployment & Optimization. You must possess 8-10 years of overall experience, with a minimum of 3-4 years in Gen AI application development and cloud-based architecture. Special skills required include expertise in AI, Gen AI, LLM development frameworks, hands-on cloud expertise, architecture skills, deep learning & core AI/ML, generative AI expertise, cloud & software architecture, data engineering & ethics, communication, and model deployment & optimization.,

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. We are looking to hire people with strong Power Platform skills and an interest in learning new technologies in the process automation space such as RPA, AI/ML, Cognitive, Conversational Chat, and Gen AI. The role requires a minimum of 3-5 years of relevant experience, with at least 3+ years of hands-on experience on Power Platform. You should have a detailed understanding of canvas apps, model-driven apps, power pages along with their limitations, application, and key features. Additionally, you should have a detailed understanding of Power Automate digital flows and Power Automate desktop, basic knowledge of Power BI and Power virtual agents, basic AI concepts using AI builder and Co-Pilot, knowledge of Dataverse and its concepts around security and automation, as well as knowledge of environment management using the CoE toolkit, security groups, and controls around the tenant. Database knowledge of at least one RDBMS product (SQL, Oracle, etc.) is required. You will be expected to interface with Architects and customers to understand business processes and system requirements, architect and design Power platform solutions independently, lead a development team, and support with technical queries during engagement delivery. Experience in developing solutions using a combination of automation technologies like Power Platform, AI/ML, and RPA is essential. Certification as a PL 600 Solution Architect in Power Platform is preferred. The ideal candidate will mentor junior developers on Power Platform best practices and standards, have hands-on experience on Power Platform implementations including Apps, Automations, Dataverse designs, power BI, etc., possess deep knowledge and experience in Agile methodologies, and have experience working with JSON, XML & RESTful API. Experience in Object-Oriented programming languages like C#, Java, or dotnet full stack, and working with at least one external integration such as Web service, ESB, etc., is desirable. Knowledge of RPA and DevOps tooling is a plus. Excellent written and verbal communication skills are required, along with the ability to write clear, understandable logic for maintainable code that meets design specifications. What we look for: - A Team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment. - An opportunity to be a part of a market-leading, multi-disciplinary team of 1400+ professionals in the only integrated global transaction business worldwide. - Opportunities to work with EY Advisory practices globally with leading businesses across a range of industries. 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, focusing on education and coaching alongside practical experience to ensure your personal development. We value our employees and provide support, coaching, and feedback from engaging colleagues. You will have opportunities to develop new skills, progress your career, and the freedom and flexibility to handle your role in a way that's right for you. 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.,

The Marketing Transformation Senior Manager role within Accenture GN Song involves working at the core of the top global Life Sciences industry, including Pharmaceuticals, Biotechnology, and Medical Technology. As a Senior Manager, you will collaborate on innovative projects, leveraging deep industry knowledge and marketing skills. Your responsibilities will encompass strong project management to successfully plan, execute, and deliver content initiatives, while also coordinating cross-functional teams and managing resources effectively. An analytical and data-driven mindset will be crucial in driving result-oriented decisions. Your role will involve providing consulting and advisory services, including market research, analysis of the pharmaceutical market, competitor benchmarking, patient journey mapping, and segmentation & targeting. Additionally, you will be responsible for developing end-to-end digital marketing strategies and campaigns, leading content marketing initiatives, social media engagement programs, and web campaigns aligned with the overall content strategy. In terms of marketing technology, you will lead platform assessment and solution design, focusing on optimizing the MarTech stack, developing use cases to improve technology utilization, and recommending new MarTech systems. Expertise in tools and platforms such as Adobe Campaign, Marketo, Google Marketing Platform, and Salesforce Marketing Cloud will be essential for success in this role. Furthermore, you will be expected to stay updated on the latest AI developments in the Life Science industry, design and implement GenAI use cases, and drive new business engagements through lead generation and pursuing new opportunities. Practice development, leadership, collaboration with key stakeholders, and talent management will also be key aspects of your responsibilities. Your professional and technical skills should include in-depth knowledge of branding, creative development, digital marketing, campaign deployment, and optimization. Experience in working with middle to senior management levels, agencies, or marketing agencies for Life Sciences clients is desirable. Additionally, you should possess a strong understanding of marketing and advertising technologies and the ability to apply technology know-how to enhance client outreach strategies. This role offers the opportunity to work on transformative projects with key G2000 clients, co-create innovative solutions with industry experts, enterprise function practitioners, and business intelligence professionals. You will have access to personalized training modules to enhance your strategy and consulting acumen, industry knowledge, and capabilities. Accenture is committed to accelerating equality and fostering boundaryless collaboration across the organization. Qualifications for this position include a minimum of 8 years of experience and an MBA from a tier 1 institute, preferably with a bachelor's degree in marketing, journalism, communications, or a related field. Join us at Accenture to be part of a dynamic team driving marketing transformation and innovation in the Life Sciences industry.,

Model Risk Management (MRM) is part of the Global Risk Management of Citi and is responsible for Independent Oversight of models across the firm. Citi is seeking a Vice President to join the System Strategy and Oversight Team within Model Risk Management Inventory & Initiative Management Group. The role requires experience in Risk management, SDLC, Waterfall, Iterative and Agile methodologies, and expertise in Project Management and Governance. Experience in process reengineering, business architecture, simplification, controls and UAT. Experience in developing solutions driving automation of Gen AI/ modeling tools or building reporting frameworks would be a big plus. Familiarity with FRB's Supervisory Guidance on MRM SR 11-7 and 15-18. The MRM System Strategy & Oversight (SSO) Lead will be responsible to drive reengineering of MRMS, the Citi Model Risk Management System in line with Model Risk Management Policy and Procedures and overall Model Risk system strategy. They will translate policies, procedures, and guidelines into process maps and concrete tasks, identify dependencies, decision points, actors, opportunities for streamlining, etc., and build system solutions to support. The role involves collaborating with various stakeholders both within and outside Risk management to identify, streamline, simplify, and implement model life cycle processes in MRMS. The responsibilities also include authoring Business requirements, re-engineering processes and system solutions to drive simplification and automation, liaising with IT partners to build effective system solutions, and partnering with validation and development groups to drive integration of metrics and documentation digitization, Gen AI POCs with MRMS target state. The ideal candidate should have 12+ years of working experience with 5+ years in product development or equivalent role. They should be familiar with O&T developing cycle as well as with model risk management or similar. Experience in supporting cross-functional projects with project management, technology on system enhancements is required. Additionally, knowledge/experience with process design, database design, and high proficiency in SQL are essential. Institutional knowledge/experience with Citi platforms/application is preferred. Strong interpersonal skills, project management skills, and experience with Python, R, other programming languages for implementing POCs are desired. Expert level knowledge at MS Excel for data analytics including VBA skills; MS PowerPoint for executive presentations; MS Word for business documentation; MS Visio for process flows and swim lane are also expected. A Bachelor's degree in finance, mathematics, computer science or related field is required, with a Master's Degree being preferred. Working at Citi means joining a family of more than 230,000 dedicated people from around the globe. It offers the opportunity to grow your career, give back to your community, and make a real impact. If you are looking to take the next step in your career, consider applying for this role at Citi today.,

As a Healthcare Technology Organization dedicated to simplifying, accelerating, and optimizing care delivery for healthcare enterprises, AVIZVA has been a strategic enabler in the industry since 2011. With a proven track record of over 13 years, we have designed and delivered more than 150 customized products for prominent Medical Health Plans, Dental and Vision Plan Providers, PBMs, Medicare Plan Providers, TPAs, and other healthcare entities. In your role as an Associate Manager - Applied Machine Learning at AVIZVA, you will be at the forefront of architecting, designing, and developing advanced GenAI products and services. Your responsibilities will include leveraging your technical expertise in machine learning to lead a team effectively and contribute to the development of Large Language Model (LLM) based products. By combining GenAI and traditional ML approaches, you will play a crucial role in meeting key product requirements. Collaboration is key in this role, as you will work closely with cross-functional teams, including product managers and business leaders, to deliver scalable machine-learning solutions that align with business objectives. **Job Responsibilities:** - Lead the team by setting clear goals, priorities, and performance expectations that align with business objectives. - Architect and oversee the lifecycle of LLM based GenAI projects, ensuring timely delivery in line with business needs. - Take ownership of technical and operational challenges, providing solutions to keep projects on track. - Collaborate with infrastructure and engineering teams to seamlessly deploy and integrate models into production environments. - Foster a culture of continuous improvement through agile practices and regular retrospectives. - Stay updated on emerging machine learning technologies and prototype new algorithms to tackle complex challenges. - Motivate the team to deliver high-quality results on time while maintaining a collaborative work environment. **Skills & Qualifications:** - Bachelor's or Master's degree in Computer Science or a related analytical field. - Minimum of 1 year of experience in Gen AI, Agentic AI, and Large Language Models. - Hands-on experience in building RAG pipelines and utilizing NLP, NLG, Text Analytics, and Transformer-based models. - 10+ years of experience as an Applied Machine Learning Engineer or Data Scientist, with expertise in Python. - Strong knowledge of system design, architecture, design principles, and Core Python. - Proficiency in ensemble models, classification, clustering algorithms, and Object-Oriented Programming. - Experience with ORM tools, RESTful services, debugging, testing frameworks, and web development. - Familiarity with Agile methodology, excellent communication, and problem-solving skills. Join AVIZVA to be a part of a dynamic team that is dedicated to transforming healthcare delivery through innovative technology solutions.,

As the Business Analyst/SME for digital channel transformation programs, you will be responsible for focusing on corporate internet banking, mobile banking, and omni-channel capabilities. Your key tasks will include defining business requirement documents (BRD), functional specs, and persona-based user journeys to support agile product development. You will collaborate with UX/UI teams, product owners, and technology leads to deliver contextual, responsive, and role-driven digital experiences for corporates. In this role, you will be managing product backlogs and sprints using tools like JIRA, Confluence, or similar, ensuring alignment across business, compliance, and technical stakeholders. Additionally, you will contribute to portal accelerator kits, reusable frameworks, and Gen AI-led enhancements. Your responsibilities will also involve assisting in client presentations, sandbox demos, and RFP responses showcasing digital banking transformation capabilities. It will be important for you to maintain awareness of key industry trends such as API-first designs, real-time capabilities, persona-driven UX, federated authentication, and multi-country rollout best practices. Experience in multi-theme or multi-tenant design delivery and regulatory alignment would be a strong plus. You will also be supporting implementation or upgrade projects across leading platforms. About Virtusa: At Virtusa, we value teamwork, quality of life, and professional and personal development. Joining our team means becoming a part of a global community of 27,000 professionals who are dedicated to your growth. We are committed to providing exciting projects, opportunities, and exposure to state-of-the-art technologies throughout your career with us. Great minds come together at Virtusa, where collaboration and a team-oriented environment foster new ideas and excellence. If you are looking for a dynamic place to nurture your potential and contribute to innovative solutions, Virtusa is the place for you.,

As an Assistant Vice President, Learning Expert in Global Advisory, you will play a crucial role in developing impactful learning programs that enhance advisory capabilities and deepen understanding of advanced technology solutions like Agentic AI, Gen AI, and Data. Your responsibilities will include leading the design and implementation of comprehensive advisory capability build programs, collaborating with business leaders to evaluate skills gaps, designing learning solutions, tracking and analyzing training program results, and developing metrics to measure effectiveness. You will work closely with internal subject matter experts and vendor ecosystems to deliver relevant and impactful training programs, as well as collaborate with Business, HR, and other L&D professionals to foster a culture of continuous learning and innovation. The ideal candidate for this role is a strategic thinker, results-oriented leader with a passion for talent development, and a deep understanding of advisory/consulting within the professional services landscape. Minimum Required Qualifications / Skills: - Hands-on experience in consulting/advisory functions with a good understanding of roles and responsibilities - Understanding of industry best practices and trends - Proven track record of designing and delivering successful leadership programs for global advisory teams (AVP and Above) - Excellent facilitation, presentation, and communication skills - Ability to work independently and as part of a team with speed and agility - Strong business and project management skills If you are looking to make a significant impact in the learning and development space within the advisory/consulting industry, this role offers a unique opportunity to lead the design and implementation of innovative learning programs that align with organizational goals and objectives.,

Genpact is a global professional services and solutions firm that aims to deliver outcomes that shape the future. With over 125,000 employees across 30+ countries, we are characterized by our innate curiosity, entrepreneurial agility, and commitment to creating lasting value for our clients. Our purpose, the relentless pursuit of a world that works better for people, drives us to serve and transform leading enterprises, including the Fortune Global 500, through our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. We are currently seeking applications for the role of Assistant Vice President, Auto Liability Operations. In this position, you will be tasked with overseeing operations delivery for the BrightClaim Insurance team, a Genpact-owned company that provides solutions for insurance companies in various areas such as daily and catastrophe claims, contents services, flood claims, and auto and liability claims. Your responsibilities will include managing the Insourcing team for content services based in Noida. This team plays a crucial role in determining total claim amounts and providing accurate pricing research for all household contents/items associated with insured losses under Homeowner insurance policies. As the Assistant Vice President, you will be expected to ensure the team meets all client SLAs, build strong relationships with our US teams, drive compliance, and enhance people engagement practices. Additionally, you will lead significant value impact projects for our US teams and clients. Key Responsibilities: - Drive transformation projects focusing on operations, digital asset implementation, standard methodologies framework, case studies, and benchmarking to enhance process efficiency and effectiveness. - Engage with customers to address improvement areas and understand their needs effectively. - Provide direction and coaching to the operations team, promote a learning culture, and ensure goal delivery. - Align with customer goals, consistently deliver on commitments, and proactively mitigate risks. - Build impactful customer relationships, improve Net Promoter Score, maintain existing business, and drive revenue growth. Qualifications: Minimum qualifications: - Understanding of the US P&C Insurance Industry, Auto products, and experience in managing Auto Liability operations. - Strong operating skills in people management, client management, and basic operations. - Knowledge of digital technologies such as RPA, Gen AI, and AWS tools. - Ability to prioritize effectively, manage multiple tasks, and oversee multiple geographies with cultural sensitivity. - Strong negotiation, facilitation, influencing, and consensus-building skills. - Excellent verbal and written communication skills, including the ability to interact confidently with senior leadership. - Experience in evaluating business opportunities and driving performance improvement using lean six sigma framework. - Ability to propose solutions based on client needs and manage engagement staffing levels. Preferred qualifications: - Master's degree in any stream except technical. - Certification in Insurance (e.g., IIA). If you are a dynamic professional with a passion for driving operational excellence and delivering exceptional service in the insurance industry, we invite you to apply for the Assistant Vice President, Auto Liability Operations role at Genpact.,

We are seeking a highly skilled and experienced Senior Machine Learning Developer to join our dynamic team. The ideal candidate will have a strong background in machine learning (ML), deep learning (DL), and large language models (LLMs). They should be proficient in Python and possess expertise in conventional ML algorithms, DL techniques, LLM and prompt engineering Responsibilities: 1. Machine Learning Development: Design, develop, and implement ML models and algorithms to solve complex problems. Work on various ML projects involving data preprocessing, feature engineering, model selection, and evaluation. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. 2. Deep Learning: Develop and deploy DL models using frameworks like TensorFlow, PyTorch, or Keras. Optimize DL models for performance and scalability. Stay updated with the latest advancements in DL and apply them to improve existing models. 3. Large Language Models: Develop and fine-tune large language models for various NLP tasks. Implement prompt engineering techniques to enhance model performance and accuracy. Experiment with state-of-the-art LLM architectures and methodologies. 4. Software Development: Write clean, maintainable, and efficient code in Python. Conduct code reviews and ensure adherence to best practices and coding standards. Implement version control using Git and collaborate with the development team through GitHub or similar platforms. 5. Data Handling: Work with large datasets and perform data preprocessing, cleaning, and augmentation. Implement data pipelines and ensure data integrity and quality throughout the ML lifecycle. 6. Research and Innovation: Stay abreast of the latest research and developments in the field of ML, DL, and LLMs. Propose and explore innovative solutions to improve model performance and address new challenges. 7. Mentorship: Mentor and guide junior ML engineers and team members. Share knowledge and best practices within the team to foster a collaborative and learning environment. Desire Skills 1. RAG-Based Domain-Specific Q&A System Should have built a chatbot that answers questions from custom documents (e.g., legal contracts, company policies) using LLM + Vector DB (RAG). 2. Agentic AI Workflow Assistant (Multi-Step Planner) Should have created an LLM agent that performs tasks like Book my flight + hotel + calendar block via API tools using LangGraph or AutoGen. 3. Multimodal RAG for Image + Text Search Worked on system that allows users to ask questions like Find me the slide where person X talks about success in life in a YouTube video or PDF deck. 4. Document Parsing Using OCR + Transformers Extract structured data from messy PDFs using Tesseract + LayoutLM or Donut

We need hands-on experience with real-time projects and exposure to use cases like Text2SQL, chat applications or advanced RAG techniques involving LLM models. And understanding of UI. Job Description 8+yrs Ai architecture is good to have. UI front end skill Ai framework API experience. AIML use cases Design and develop cutting-edge AI solutions that address business challenges. Lead end-to-end AI development lifecycle, from problem definition, data collection to model deployment and maintenance. Collaborate with cross-functional teams to understand and analyze business requirements and translate them into AI solutions. Research and stay up to date with the latest AI and ML technologies and best practices. Mentor and provide guidance to junior AI developers on the team. Conduct code reviews and ensure code quality, scalability, and performance of AI applications. Collaborate with data scientists and engineers to preprocess and prepare data for AI models. Evaluate and select appropriate AI and ML algorithms for specific tasks. Develop and deploy AI models in a production environment and monitor their performance. Ensure data privacy and security measures are implemented in AI solutions.

As a data science expert, you will be responsible for developing strategies and solutions to address various problems using cutting-edge machine learning, deep learning, and GEN AI techniques. Your role will involve leading a team of data scientists to ensure timely and high-quality delivery of project outcomes. You will analyze large and complex datasets across different domains, perform exploratory data analysis, and select features to build and optimize classifiers and regressors. Enhancing data collection procedures, ensuring data quality and accuracy, and presenting analytical results to technical and non-technical stakeholders will be key aspects of your job. You will create custom reports and presentations with strong data visualization skills to effectively communicate analytical conclusions to senior company officials and other stakeholders. Proficiency in data mining, EDA, feature selection, model building, and optimization using machine learning and deep learning techniques is essential. Your primary skills should include a deep understanding and hands-on experience with data science and machine learning techniques, algorithms for supervised and unsupervised problems, NLP, computer vision, and GEN AI. You should also have expertise in building deep learning models for text and image analytics using frameworks like ANNs, CNNs, LSTM, Transfer Learning, Encoder, and decoder. Proficiency in programming languages such as Python, R, and common data science tools like NumPy, Pandas, Matplotlib, and frameworks like TensorFlow, Keras, PyTorch, XGBoost is required. Experience with statistical inference, hypothesis testing, and cloud platforms like Azure/AWS, as well as deploying models in production, will be beneficial for this role. Excellent communication and interpersonal skills are necessary to convey complex analytical concepts to diverse stakeholders effectively.,

As a Python API Developer specializing in Product Development, you will leverage your 4+ years of experience to design, develop, and maintain high-performance, scalable APIs that drive our Generative AI products. Your role will involve close collaboration with data scientists, machine learning engineers, and product teams to seamlessly integrate Generative AI models (e.g., GPT, GANs, DALL-E) into production-ready applications. Your expertise in backend development, Python programming, and API design will be crucial in ensuring the successful deployment and execution of AI-driven features. You should hold a Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. Your professional experience should demonstrate hands-on involvement in designing and developing APIs, particularly with Generative AI models or machine learning models in a production environment. Proficiency in cloud-based infrastructures (AWS, Google Cloud, Azure) and services for deploying backend systems and AI models is essential. Additionally, you should have a strong background in working with backend frameworks and languages like Python, Django, Flask, or FastAPI. Your core technical skills include expertise in Python for backend development using frameworks such as Flask, Django, or FastAPI. You should possess a strong understanding of building and consuming RESTful APIs or GraphQL APIs, along with experience in designing and implementing API architectures. Familiarity with database management systems (SQL/NoSQL) like PostgreSQL, MySQL, MongoDB, Redis, and knowledge of cloud infrastructure (e.g., AWS, Google Cloud, Azure) are required. Experience with CI/CD pipelines, version control tools like Git, and Agile development methodologies is crucial for automating deployments and ensuring efficient backend operations. Key responsibilities will involve closely collaborating with AI/ML engineers to integrate Generative AI models into backend services, handling data pipelines for real-time or batch processing, and engaging in design discussions to ensure technical feasibility and scalability of features. Implementing caching mechanisms, rate-limiting, and queueing systems to manage AI-related API requests, as well as ensuring backend services can handle high concurrency during resource-intensive generative AI processes, will be essential. Your problem-solving skills, excellent communication abilities for interacting with cross-functional teams, and adaptability to stay updated on the latest technologies and trends in generative AI will be critical for success in this role.,

As a Product Manager, you will be responsible for defining, managing, and executing a comprehensive product roadmap that aligns with client/user requirements, business strategy, and emerging market trends. Your role will involve driving product strategy and execution, delivering innovative solutions, and leading the entire product lifecycle from ideation to launch to ongoing optimization. You will work closely with cross-functional teams, including user cohorts, business leadership, and technical development teams, both in-house and third-party, to create detailed Business Requirement Documents (BRD) and Functional Requirement Documents (FRD). Gathering and analyzing business and user requirements will be essential to drive product direction and development, ensuring alignment with evolving needs. In addition, you will actively engage with business and user cohorts to gather requirements, validate solutions, and enhance user experience (UX) by continuously improving product features based on feedback and data-driven insights. Overseeing cross-functional teams to drive development, prioritize features, and ensure timely delivery will be key to your success in this role. Staying updated on the latest AI/ML/RPA/Gen AI trends, tools, and frameworks will also be crucial, as you will apply them where relevant to drive innovation. Collaborating with Product Marketing to showcase platforms and new features in various channels, as well as positioning comparative product features in user-review sites like G2 and Capterra, will be part of your responsibilities. To qualify for this position, you should have 3-6 years of experience in product management, preferably with exposure to creating web and mobile interfaces for AI/Gen AI/Automation based products. A proven track record of managing B2B products from ideation to launch and scaling, as well as experience in product feature prioritization frameworks, will be valuable assets. Strong skills in writing BRDs/FRDs, defining technical and functional requirements, and effectively managing the end-to-end product lifecycle are essential. Excellent stakeholder management and communication skills are required, along with prior knowledge of AI and Gen AI tools/frameworks. A Bachelor's degree in Engineering/Technology is preferred for this role.,

You will be responsible for leading AI/ML project implementation, starting from data collection and model development to deployment and optimization. Your role will involve creating, customizing, and deploying Custom GPTs tailored to specific business needs and real-world use cases. You will also be required to integrate OpenAI technologies, including Custom GPTs, into company systems to enhance automation and decision-making processes. Furthermore, you will develop and deploy predictive models and machine learning algorithms to address real-world challenges in the real estate sector. Collaboration with cross-functional teams to design AI-driven products and provide data-driven insights to guide business strategy will be a key aspect of your responsibilities. To qualify for this role, you should have at least 5 years of experience in Data Science, Machine Learning, and AI project implementation, with a strong ability to deploy models in production environments. Proven expertise in integrating OpenAI technologies, including developing and deploying Custom GPTs for business applications, is essential. You should possess a strong proficiency in programming languages such as Python or R, along with experience in machine learning libraries like TensorFlow, PyTorch, and other related tools. Additionally, solid experience with cloud platforms (AWS, GCP, Azure), knowledge of data pipelines, MLOps tools (e.g., Docker, Kubernetes), and machine learning deployment processes are required. A strong understanding of Natural Language Processing (NLP), deep learning models, and data analytics is necessary, with a preference for experience in real estate industry applications. Your skills should include expertise in Gen AI, NLP, SQL, and Machine Learning. About UST: UST is a global digital transformation solutions provider that has been partnering with the world's best companies for over 20 years to drive real impact through transformation. With a workforce of over 30,000 employees in 30 countries, UST is committed to embedding innovation and agility into their clients" organizations. Powered by technology, inspired by people, and led by purpose, UST collaborates with clients from design to operation, ensuring a future-proof philosophy that touches billions of lives in the process.,

As a Specialist Design Engineer focused on ServiceNow, you will play a crucial role in contributing to BT Group's digital transformation by rapidly bringing innovative ideas to market. Your primary responsibility will be to drive service innovation and deliver products and services that meet the needs of customers in a fast-paced and scalable manner. You will be responsible for owning and delivering strategic investment choices that support Service management's transformation. This includes assessing requirements within BT Business, identifying optimal design patterns for scalable system components, and making informed decisions based on thorough analysis of different scenarios. Your focus on risk management, business case development, and benefit realization will be essential in unblocking obstacles and ensuring timely project delivery. Collaboration and relationship-building will be key aspects of your role, as you will need to develop strong connections with internal and external customers and suppliers to facilitate program deliverables. Additionally, you will lead the platform design team, overseeing the work of other designers and ensuring governance across various deliveries within BT Business. To excel in this role, you should possess expertise in technologies such as ServiceNow CMDB data model, GEN AI, Agentic AI, ITOM, Service Bridge, CSM, ITSM, Risk Management, and TMF compliant ServiceNow integration framework. Your ability to develop solutions aligned with enterprise architecture, solve complex problems, and drive continuous improvement through agile practices will be critical. Furthermore, your communication skills, project management abilities, and commercial acumen will be essential in executing priorities that add value to customers and the business. By embodying BT Group's leadership standards, you will contribute to the company's growth mindset and future readiness, building diverse teams that drive innovation and excellence. BT Group, as a pioneer in the telecom sector, is undergoing a significant transformation to enhance connectivity and revolutionize customer experiences. By joining the organization, you will be part of a dynamic team that is shaping the future of telecommunications in the UK. If you are passionate about driving change, embracing diversity, and contributing to a forward-thinking company, this role presents an exciting opportunity to make a meaningful impact. Please note that BT Group is committed to creating an inclusive workplace where individuals from diverse backgrounds and experiences are encouraged to apply. If you believe you have the skills and drive to excel in this role, we welcome your application, even if you do not meet every single requirement outlined in the job description.,

As a valued member of the Ojas Systems team, we are seeking individuals proficient in Machine Learning, NLP, Computer Vision, Gen AI, or LLM (Full-time PhD required) with a minimum of 5 years of experience post-PhD. The ideal candidate should possess a total of 12+ years of relevant professional experience in the field. If you meet the above criteria and are enthusiastic about joining our team, please forward your updated resume to meghana@ojassystems.com. We look forward to the opportunity to review your qualifications and potentially welcoming you on board at Ojas Systems. Thank you for considering this exciting career opportunity with us. Warm regards, Ojas Systems,

You will be responsible for building and interpreting machine learning models on real business data from the SigView platform, such as Logistic Regression, Boosted trees (Gradient boosting), Random Forests, and Decision Trees. Your tasks will include identifying data sources, integrating multiple sources or types of data, and applying data analytics expertise within a data source to develop methods to compensate for limitations and extend the applicability of the data. Moreover, you will be expected to extract data from relevant data sources, including internal systems and third-party data sources, through manual and automated web scrapping. Your role will involve validating third-party metrics by cross-referencing various syndicated data sources and determining the numerical variables to be used in the same form as they are from the raw datasets, categorized into buckets, and used to create new calculated numerical variables. You will perform exploratory data analysis using PySpark to finalize the list of compulsory variables necessary to solve the business problem and transform formulated problems into implementation plans for experiments by applying appropriate data science methods, algorithms, and tools. Additionally, you will work with offshore teams post data preparation to identify the best statistical model/analytical solution that can be applied to the available data to solve the business problem and derive actionable insights. Your responsibilities will also include collating the results of the models, preparing detailed technical reports showcasing how the models can be used and modified for different scenarios in the future to develop predictive insights. You will develop multiple reports to facilitate the generation of various business scenarios and provide features for users to generate scenarios. Furthermore, you will be interpreting the results of tests and analyses to develop insights into formulated problems within the business/customer context and provide guidance on risks and limitations. Acquiring and using broad knowledge of innovative data analytics methods, algorithms, and tools, including Spark, Elasticsearch, Python, Databricks, Azure, Power BI, Azure Cloud services, LLMs-Gen AI, and Microsoft Suite will be crucial for success in this role. This position may involve telecommuting and requires 10% travel nationally to meet with clients. The minimum requirements for this role include a Bachelor's Degree in Electronics Engineering, Computer Engineering, Data Analytics, Computer Science, or a related field plus five (5) years of progressive experience in the job offered or related occupation. Special skill requirements for this role include applying statistical methods to validate results and support strategic decisions, building and interpreting advanced machine learning models, using various tools such as Python, Scikit-Learn, XGBoost, Databricks, Excel, and Azure Machine Learning for data preparation and model validation, integrating diverse data sources using data analytics techniques, and performing data analysis and predictive model development using AI/ML algorithms. Your mathematical knowledge in Statistics, Probability, Differentiation and Integration, Linear Algebra, and Geometry will be beneficial. Familiarity with Data Science libraries such as NumPy, SciPy, and Pandas, Azure Data Factory for data pipeline design, NLTK, Spacy, Hugging Face Transformers, Azure Text Analytics, OpenAI, Word2Vec, and BERT will also be advantageous. The base salary for this position ranges from $171,000 to $190,000 per annum for 40 hours per week, Monday to Friday. If you have any applications, comments, or questions regarding the job opportunity described, please contact Piyush Khemka, VP, Business Operations, at 111 Town Square Pl., Suite 1203, Jersey City, NJ 07310.,

You are an experienced OCI AI Architect who will be responsible for leading the design and deployment of Gen AI, Agentic AI, and traditional AI/ML solutions on Oracle Cloud. Your role will involve a deep understanding of Oracle Cloud Architecture, Gen AI, Agentic and AI/ML frameworks, data engineering, and OCI-native services. The ideal candidate will possess a combination of deep technical expertise in AI/ML and Gen AI over OCI along with domain knowledge in Finance and Accounting. Your key responsibilities will include designing, architecting, and deploying AI/ML and Gen AI solutions on OCI using native AI services, building agentic AI solutions using frameworks such as LangGraph, CrewAI, and AutoGen, leading the development of machine learning AI/ML pipelines, and providing technical guidance on MLOps, model versioning, deployment automation, and AI governance. You will collaborate with functional SMEs, application teams, and business stakeholders to identify AI opportunities, advocate for OCI-native capabilities, and support customer presentations and solution demos. To excel in this role, you should have 10-15 years of experience in Oracle Cloud and AI, with at least 5 years of proven experience in designing, architecting, and deploying AI/ML & Gen AI solutions over OCI AI stack. Strong Python development experience, knowledge of LLMs such as Cohere and GPT, proficiency in AI/ML/Gen AI frameworks like TensorFlow, PyTorch, Hugging Face, and hands-on experience with OCI services are required. Additionally, skills in AI governance, Agentic AI frameworks, AI architecture principles, and leadership abilities are crucial for success. Qualifications for this position include Oracle Cloud certifications such as OCI Architect Professional, OCI Generative AI Professional, OCI Data Science Professional, as well as a degree in Computer Science or MCA. Any degree or diploma in AI would be preferred. Experience with front-end programming languages, Finance domain solutions, Oracle Cloud deployment, and knowledge of Analytics and Data Science would be advantageous. If you are a highly skilled and experienced OCI AI Architect with a passion for designing cutting-edge AI solutions on Oracle Cloud, we invite you to apply and join our team for this exciting opportunity.,

We need hands-on experience with real-time projects and exposure to use cases like Text2SQL, chat applications or advanced RAG techniques involving LLM models. And understanding of UI. Job Description 8+yrs Ai architecture is good to have. UI front end skill Ai framework API experience. AIML use cases Design and develop cutting-edge AI solutions that address business challenges. Lead end-to-end AI development lifecycle, from problem definition, data collection to model deployment and maintenance. Collaborate with cross-functional teams to understand and analyze business requirements and translate them into AI solutions. Research and stay up to date with the latest AI and ML technologies and best practices. Mentor and provide guidance to junior AI developers on the team. Conduct code reviews and ensure code quality, scalability, and performance of AI applications. Collaborate with data scientists and engineers to preprocess and prepare data for AI models. Evaluate and select appropriate AI and ML algorithms for specific tasks. Develop and deploy AI models in a production environment and monitor their performance. Ensure data privacy and security measures are implemented in AI solutions.

As a Senior Software Engineer at Wells Fargo, you will take the lead in driving complex technology initiatives that have a companywide impact. You will be instrumental in setting standards and best practices for engineering large-scale technology solutions across various technology disciplines. Your responsibilities will include designing, coding, testing, debugging, and documenting projects and programs. Your role will involve reviewing and analyzing complex technology solutions to address tactical and strategic business objectives within the enterprise technological environment. You will be making critical decisions in developing best practices for engineering solutions, leveraging industry standards and new technologies to guide and influence the technology team towards meeting deliverables and driving new initiatives. Collaboration and consultation with technical experts, senior technology team members, and external industry groups will be key to resolving technical challenges and achieving set goals. Moreover, you will lead projects, teams, or serve as a mentor to peers. The job requires a minimum of 5 years of Software Engineering experience or an equivalent combination of work experience, training, military service, or education. Desired qualifications for this role include strong Python programming skills, expertise in RPA tools like UI Path, proficiency in Workflow automation tools such as Power Platform, and a minimum of 2 years of hands-on experience in AI/ML and Gen AI. Additionally, experience in LLMs (Gemini, GPT, or Llama), prompt engineering, model fine-tuning, and AI/Gen AI certifications from premier institutions are preferred. Hands-on experience in ML ops tools like MLflow and CICD pipelines is also valued. In terms of job expectations, you will be involved in designing and developing AI-driven automation solutions, implementing AI automation to improve process automation, developing and maintaining automation, BOTS, and AI-based workflows, integrating AI automation with existing applications, API's and databases, and building and optimizing prompt engineering workflows. Furthermore, you will fine-tune and integrate pre-trained models for specific use cases and deploy models in production using robust ML ops practices. If you believe you are the ideal candidate for this role, we encourage you to apply before the job posting ends on 23rd July 2025. Wells Fargo is committed to providing equal opportunities, and we welcome applications from all qualified candidates, including women, persons with disabilities, aboriginal peoples, and visible minorities. If you require any accommodations during the recruitment process due to a disability, please reach out to Disability Inclusion at Wells Fargo.,

Job Title : .Net Gen AI Location : PAN INDIA Qualification : Graduation/Post-Graduation Experience : 5+ Years Required skills - Experience in .Net Gen AI Experience in Gen AI Tools any one Experience in .Net COre Excellent communication skill. Interested candidates can send their resume and below details at priyanka.v@sigmacareers.in 1. Notice Period (LWD)- 2. Current CTC- 3. Expected CTC Per Month- 4. Current company- 5. Total year of experience- 6. Relevant experience- 7. Do have any offer how much offer you are having offer- 8. Current location- 9. Preferred location-

Location : Bangalore (Hybrid) Job Description: We are seeking an experienced Machine Learning Engineer with a strong background in Generative AI and the development of scalable ML models. The ideal candidate will have deep hands-on experience in Python, core ML/AI/DL concepts, and relevant statistical methods. The role requires a solid grasp of frameworks like TensorFlow, PyTorch, and MLlib, and deployment experience using Kubernetes, Jenkins, and Prometheus. You will work on mission-critical ML systems in areas such as recommendation engines, forecasting models, and safety-focused AI applications, with an emphasis on high-performance and production-grade solutions. Key Responsibilities: Design, build, and deploy scalable machine learning models for GenAI applications. Utilize Python, machine learning, deep learning, and statistical techniques to solve real-world problems. Implement and optimize solutions using TensorFlow, PyTorch, and MLlib. Develop and manage data pipelines using SQL and Apache Spark. Integrate ML models into production environments using Kubernetes and Jenkins. Monitor performance and ensure system reliability using Prometheus and related tools. Apply ML techniques in domains like recommendation systems, safety models, and forecasting algorithms. Must-Have Skills: Scalable ML model development Python, ML, AI, DL, statistics TensorFlow, PyTorch, MLlib SQL, Spark Kubernetes, Jenkins, Prometheus Experience in recommendation, safety, forecasting, etc.

The role of Digital Transformation Services within our company is expanding rapidly, presenting exciting opportunities for growth. As part of this team, your primary responsibility will be to drive Practice development by integrating new technologies and exploring innovative revenue streams. You will play a crucial role in supporting Digital Transformation Programs, particularly in the realm of Sourcing Procurement, by conceptualizing and implementing cutting-edge digital solutions. Collaboration with clients, internal and external technical teams, and outsourced operations will be essential in the creation and management of modern digital solutions within Sourcing Procurement. Your key responsibilities will include developing and enhancing digital solutions such as cognitive procurement suites, category management tools, predictive analytics, and internal procurement intelligence platforms. You will be tasked with creating business cases, designing solutions, and incorporating industry best practices to deliver value-driven digital solutions. Furthermore, you will actively participate in Digital Transformation Programs for Sourcing and Procurement, utilizing various technological interventions and showcasing digital solutions to clients. In addition to your technical responsibilities, you will be expected to engage with stakeholders, conduct assessments of clients" existing landscapes, and ensure high levels of customer satisfaction through effective communication and feedback management. Your role will also involve performing quantitative and qualitative analyses to derive insights from data, collaborating on projects with cross-functional teams, and demonstrating proficiency in tools such as SAS, R, Tableau, Power BI, Ariba, Coupa, and other digital procurement platforms. To excel in this role, you should possess 6-8 years of experience in the Sourcing Procurement domain, with at least 2-4 years in business consulting and solution crafting. A solid understanding of Sourcing and Procurement processes, along with expertise in analytics, category management tools, and data interpretation, will be crucial. Additionally, familiarity with AI concepts and strong storytelling skills for data-driven recommendations will be beneficial in this dynamic and fast-paced environment. If you are passionate about driving digital transformation and eager to contribute towards the growth of our Practice through innovative solutions, we welcome you to join our team and make a meaningful impact in the world of Sourcing & Procurement.,