492 Genai Jobs - Page 14

3 yrs dev exp with Python, Django, AWS, PostgreSQL. Strong in Java, familiar with Golang & frontend. Hands-on with LLMs & GenAI. Skilled in debugging, version control, and agile tools

Management Level: Ind & Func AI Decision Science Analyst/Consultant Location: Gurgaon / Bangalore / Mumbai / Hyderabad Must-have skills: Marketing Analytics, Data Driven Merchandizing (Pricing/Promotions/Assortment Optimization), Statistical Timeseries Models, Store Clustering Algorithms, Descriptive Analytics, State Space Modeling, Mixed Effect Regression, NLP Techniques, Large Language Models, Azure ML Tech Stack, SQL, R, Python, AI/ML Model Development, Cloud Platform Experience (Azure/AWS/GCP), Data Pipelines, Client Management, Insights Communication Good to have skills: Non-linear Optimization, Resource Optimization, Cloud Capability Migration, Scalable Machine Learning Architecture Design Patterns, Econometric Modeling, AI Capability Building, Industry Knowledge: CPG, Retail Experience: Must have at least 2+ years of work experience in Retail/CPG - Marketing analytics with a reputed organization. Educational Qualification: Bachelor/Master’s degree in Statistics/Economics/Mathematics/Computer Science or related disciplines. Preferred advanced degrees include M.Tech, M.Phil/Ph.D in Statistics/Econometrics or related field from reputed institutions. Job Summary As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading statistical tools, methods, and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. Roles & Responsibilities: Working through the phases of project Define data requirements for Data Driven Growth Analytics capability. Clean, aggregate, analyze, interpret data, and carry out data quality analysis. Knowledge of market sizing, lift ratios estimation. Experience in working with non-linear optimization techniques. Proficiency in Statistical Timeseries models, store clustering algorithms, descriptive analytics to support merch AI capability. Hands on experience in state space modeling and mixed effect regression. Development of AI/ML models in Azure ML tech stack. Develop and Manage data pipelines. Aware of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production. Knowledge of cloud platforms and usage for pipelining and deploying and scaling elasticity models. Working knowledge of resource optimization Working knowledge of NLP techniques, Large language models. Manage client relationships and expectations and communicate insights and recommendations effectively. Capability building and thought leadership. Logical Thinking – Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Notices discrepancies and inconsistencies in information and materials. Task Management – Advanced level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track, and report progress . Professional & Technical Skills: Must have at least 2-8+ years of work experience in Retail/CPG - Marketing analytics with a reputed organization. Must have knowledge of SQL, R & Python language and at-least one cloud-based technology (Azure, AWS, GCP) Must have knowledge of building price/discount elasticity models and conduct non-linear optimization. Must have good knowledge of NLP models, Large Language Models and applicability to industry data. Must have AI capability migration experience from one cloud platform to another. Manage documentation of data models, architecture, and maintenance processes Additional Information: Bachelor/Master’s degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record Knowledge of CPG, Retail industry. Proficient in Excel, MS word, PowerPoint, etc. Strong client communication. About Our Company | Accenture (do not remove the hyperlink)

Job Description: Full Stack Developer with Gen AI & Cloud Expertise Position Title: Full Stack Lead Developer Experience: 6-8 Years LOcation: Bengaluru / Gurugram Job Overview We are seeking a highly skilled and versatile polyglot Full Stack Developer with expertise in modern front-end and back-end technologies, cloud-based solutions, AI/ML and Gen AI. The ideal candidate will have a strong foundation in full-stack development, cloud platforms (preferably Azure), and hands-on experience in Gen AI, AI and machine learning technologies. Key Responsibilities Develop and maintain web applications using Angular/React.js, .NET, and Python. Design, deploy, and optimize Azure native PaaS and SaaS services, including but not limited to Function Apps, Service Bus, Storage Accounts, SQL Databases, Key vaults, ADF, Data Bricks and REST APIs with Open API specifications. Implement security best practices for data in transit and rest. Authentication best practices SSO, OAuth 2.0 and Auth0. Utilize Python for developing data processing and advanced AI/ML models using libraries like pandas, NumPy, scikit-learn and Langchain, Llamaindex, Azure OpenAI SDK Leverage Agentic frameworks like Crew AI, Autogen etc. Well versed with RAG and Agentic Architecture. Strong in Design patterns – Architectural, Data, Object oriented Leverage azure serverless components to build highly scalable and efficient solutions. Create, integrate, and manage workflows using Power Platform, including Power Automate, Power Pages, and SharePoint. Apply expertise in machine learning, deep learning, and Generative AI to solve complex problems. Primary Skills Proficiency in React.js, .NET, and Python. Strong knowledge of Azure Cloud Services, including serverless architectures and data security. Experience with Python Data Analytics libraries: pandas NumPy scikit-learn Matplotlib Seaborn Experience with Python Generative AI Frameworks: Langchain LlamaIndex Crew AI AutoGen Familiarity with REST API design, Swagger documentation, and authentication best practices. Secondary Skills Experience with Power Platform tools such as Power Automate, Power Pages, and SharePoint integration. Knowledge of Power BI for data visualization (preferred). Preferred Knowledge Areas – Nice to have In-depth understanding of Machine Learning, deep learning, supervised, un-supervised algorithms.

AI/ML-focused Software Developer with 3+ YOE in SDLC and 1+ year in conversational AI (speech-to-text, emotion recognition, agentic systems). Skilled in fine-tuning LLMs/SLMs, RAG, quantization, and distillation for production use. R & D Required Candidate profile Expert in Python, PyTorch, TensorFlow, Hugging Face, LangChain, OpenAI APIs. Background in agent-based modeling, RL, GenAI. Holds CS/AI degrees with contributions via publications or open-source work.

5+ yrs Overall Exp,2+ yrs GenAI. Strong Python, NumPy, Pandas, scikit-learn. ML expertise with TensorFlow/PyTorch. NLP/LLMs using NLTK, spaCy, Hugging Face. AWS/Azure/GCP (EC2, S3, Lambda). Problem-solving, analytical thinking, collaboration. Health insurance Provident fund

Job Description Diagnose model performance issues; research, implement and test alternative options; prepare analyses; and deploy solutions. Conduct complex statistical analyses of real estate, mortgage, and insurance related data. Apply machine learning and data mining techniques to discover patterns from large and complex datasets. Make forecasts and predictions based on modeling and analysis of multiple economic and human factors. Prepare and maintain programs and documentation for models. Perform modeling and analysis using various data mining, machine learning, statistical, and mathematical techniques. Drive the re-engineering of current production models and their prototypes as needed. Lead and manage quantitative and qualitative research projects independently. Assess and communicate research results to internal stakeholders. Understand business requirements and conceptualize analytic solutions to those business problems. Regularly engage cross functional teams to research, define, and implement analytic solutions within a broad business function. Troubleshoot and drive solutions on a wide variety of highly complex problems. Research and test GenAI best practices and solutions for emerging issues, as appropriate. Job Qualifications Masters degree in Economics, Mathematics, Computer Science, Data Science, Machine Learning, Statistics, Physics or related field. At least 8 years industry or academic experience in AI, machine learning techniques, data mining, statistical modeling and/or pattern recognition model building for clients on real world problems Proficiency in network analysis and graph theory is a plus Experience building and maintaining models in a cloud environment Proficiency in at least one of the following programming languages: Python, Java, R, C++, Scala Must have big data expertise, such as Spark, Hadoop, Hive, etc. Experience integrating GenAI into production solutions a plus. Team player, willing to assist and jump into a project at any point as needed Detail oriented; strong presentation skills, experienced with client interaction. Ability to communicate effectively and in a professional manner to key stakeholders and explain business needs to technical personnel. Solid interpersonal skills. Must be able to communicate clearly to partners and colleagues verbally and in written form. Able to manage multiple, complex projects simultaneously. Able to effectively present analytic insights and modeling techniques internally and externally.

Role & responsibilities Proven experience in end-to-end AI implementation Strong hands-on expertise in RAG (Retrieval-Augmented Generation) and Natural Language Processing (NLP) Demonstrated ownership of at least 2 AI use cases from design to deployment Experience with vector databases, embeddings, and prompt engineering Ability to work independently and collaborate with cross-functional teams Develop and implement AI solutions leveraging expertise in Analytics and Data Mining across Web, Social, and Big Data platforms. Good understanding and implementation of Generative AI for content generation, creative applications, and problem-solving across various domains. Work as the data strategist, identifying and integrating new datasets that can be leveraged through our product capabilities and work closely with the engineering team to strategize and execute the development of data products. Utilize Machine Learning techniques for pattern recognition and inference to enhance existing products and develop new strategic initiatives. Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks. Collaborate with cross-functional teams to integrate Natural Language Processing and Computational Linguistics into product development processes. Apply Statistical Modeling and Econometrics to analyze data and derive actionable insights for quantitative marketing strategies and to make predictions based on historical data. Contribute to the design and optimization of Large Scale Distributed Systems and Cloud Computing infrastructure. Enhance user experience through Human-Computer Interaction principles and Information Visualization techniques. Preferred candidate profile Bachelors, Masters, or Ph.D. in Computer Science, Engineering, or a related technical field. Proven experience in building and scaling AI-powered applications , preferably as part of SaaS products . Strong hands-on development skills in any modern programming language (e.g., Python, Java, Node.js, Go, etc.) language is flexible, but product-thinking is a must . Deep understanding of AI/ML concepts , including NLP, deep learning, and predictive analytics – especially from an application integration perspective. Practical experience applying AI to solve real business problems , not just experimentation or research. Sound knowledge of search systems , data modeling , and information retrieval – especially how users interact with large or complex datasets. Familiarity with cloud environments (AWS/GCP/Azure) and microservice-based architectures. Strong experience working with APIs, distributed systems, and cloud-native tools like S3, Redshift, Spark, etc. Bonus: Experience in building intelligent UIs or AI copilots for enterprise or productivity tools. Ability to own features end-to-end and collaborate closely with product managers and designers. Comfortable in fast-paced, cross-functional, startup-like teams. Perks and benefits Five Reasons You Should Join Tario: 1. Cutting-Edge Agentic AI Work: We are leveraging Agentic AI—the next-gen of AI where systems think and act like autonomous agents, not just passive tools 2. Clear Product-Market Fit: It’s tech that’s driving business value : more meetings, shorter sales cycles, higher response rates. Joining now means becoming part of a company with early traction and growth momentum . 3. High-Impact Roles & Ownership: As a growing company, Tario likely offers greater autonomy , faster decision-making , and the chance to wear multiple hats. 4. Solving a Universal Problem: Outbound sales are hard—most emails go unopened, and SDRs are overwhelmed. Tario's AI solves that pain with precision personalization at scale. 5. Strong Learning Curve: You will be exposed to the State-of-the-art AI/ML workflows, sales tech ecosystem (CRM integrations, outreach automation, engagement tracking), fast-paced product iteration and startup-style growth.

Overview: We are building scalable Agentic AI platforms, powering 50+ enterprise use cases using LLM-based agents. Were looking for a Senior Software Developer with strong backend (Python), DevOps, and AI integration skills to help build robust services, APIs, and front-end components that enable agent execution, orchestration, and user interaction. Job Responsibilities: Lead design and development of scalable backend services & APIs using Python and FastAPI . Optimize data models for relational (PostgreSQL, MySQL) & NoSQL databases . Develop resilient asynchronous data pipelines, event-driven systems, and caching (Redis). Develop intuitive UI components for agent configuration & visualization (JavaScript and React). Structure and style internal interfaces effectively (HTML5, CSS3). Spearhead integration of LLMs (OpenAI, Azure OpenAI, HuggingFace, Nvidia NIMs) for autonomous agents. Design and refine advanced RAG pipelines and Vector DBs (Milvus, PGVector, Pinecone). Champion prompt engineering, agentic frameworks (LangChain, LlamaIndex), and tool-calling. Drive robust DevOps practices: expert Git, Docker, and CI/CD pipeline implementation. Promote agile methodologies, conduct code reviews, and maintain high-quality documentation. Collaborate with cross-functional teams (product, ML, design) to deliver technical solutions. Mentor junior engineers, contribute to technical strategy, and drive innovation. Job Requirements: Back-End Development (Required) - Expert in Python with production experience architecting and developing scalable backend services using FastAPI for high-performance RESTful APIs and WebSocket-based communication. Proficient in leveraging ORMs , designing robust relational database schemas ( PostgreSQL, MySQL ), and effectively utilizing caching mechanisms like Redis. Working knowledge of system integration patterns and non-relational database technologies (e.g., MongoDB, Cassandra) for specific use cases within the AI platform. DevOps & Software Engineering Practices (Required) - Expert in version control with Git and containerization using Docker . Strong experience in designing, implementing, and advocating for comprehensive unit tests and other automated testing strategies; commitment to TDD/BDD principles is highly desirable. Proficient in agile development methodologies and conducting thorough, constructive code reviews. Front-End Development (Desired) - Proficient in React (ES6+), JavaScript and TypeScript for developing intuitive and functional user-facing components specifically for agent configuration, interaction, and data visualization. Solid understanding of HTML5 and CSS3 for structuring and styling these internal interfaces effectively. Good to Have Skills: AI/ML Integration - Proficiency in integrating LLMs (e.g., Azure OpenAI, HuggingFace Transformers, Nvidia NIMs) into complex backend systems and workflows. Strong practical understanding and application of prompt engineering techniques, designing and utilizing agentic frameworks (e.g., LangChain, LlamaIndex), and implementing effective tool calling mechanisms. Demonstrable experience in designing and implementing Retrieval-Augmented Generation (RAG) pipelines, including the selection and utilization of Vector Databases (e.g., Milvus, PGVector, Pinecone). Familiarity with MLOps principles and tools for model deployment and serving (e.g., NVIDIA Triton, KServe).

Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of statistical analysis and machine learning algorithms.

Mandatory Skills : Python, Machine Learning Models, Flask, Data Visualization Tools. Good to have : Gen AI, NLP, Cloud (AWS) etc Notice Period : Immediate - 30 days Relevant Experience : 5+ Years in Machine Learning Responsibilities : - Design, develop, and deploy machine learning models and algorithms. - Perform data analysis to extract insights and identify patterns. - Develop and implement feature engineering processes to enhance model performance. - Collaborate with data scientists and cross-functional teams to understand business requirements and translate them into technical solutions. - Build and maintain scalable data pipelines and infrastructure. - Develop and deploy machine learning applications using Flask, FastAPI, or Django. - Conduct experiments, model tuning, and evaluate model performance using appropriate metrics. Must-Have Skills : - Python and its libraries (NumPy, pandas, scikit-learn, TensorFlow, PyTorch). - Experience with web frameworks such as Flask, FastAPI, or Django. - Strong understanding of machine learning algorithms and techniques. - Experience with data visualization tools (e.g., Matplotlib, Seaborn). - Strong problem-solving skills and ability to work independently as well as in a team. - Excellent communication skills to effectively convey technical concepts to non-technical stakeholders. Good-to-Have Skills : - Experience with cloud platforms, particularly AWS. - Knowledge of MLOps practices and tools. - Experience with Natural Language Processing (NLP) techniques. - Exposure to Generative AI (GenAI) technologies.

Mandate Skills : Python , AWS , Robot Framework , Selenium , Kafka (Knowledge), AI/ML(Gen AI etc..). Technical Skills: Proven experience in building automation frameworks for both frontend and backend systems. Hands-on experience with AWS services such as EC2, S3, Lambda, and Kafka. Strong understanding of Kafka, including producing and consuming messages for test automation. Hands-on experience with AI/ML tools for automation, such as Testim, Mabl, Functionize, or custom AI models (e.g., for NLP-based test generation or failure prediction). Prior experience in setting up AI-based test data generation. Experience in Python programming language. Familiarity with test automation tools and frameworks like Robot framework, Playwright, Selenium or similar. Strong understanding of REST APIs and API testing tools like Postman, Rest Assured etc.. Experience with CI/CD pipelines and tools such as Jenkins, GitLab etc Exposure to Graph DB, MongoDB, and Cassandra. Knowledge of Docker/Kubernetes is a plus Excellent problem-solving skills and attention to detail. Experience working in Agile projects Strong communication and collaboration skills to work effectively in a team environment. Essential Skills 1.Building automation frameworks for both frontend and backend systems. 2.Python Programing 3.AWS services such as EC2, S3, Lambda 4.Strong understanding of Kafka 5.AI/ML tools for automation, such as Testim, Mabl, Functionize Good to have 1.Experience with CI/CD pipelines 2.test automation tools and frameworks like Robot framework, Playwright, Selenium or similar. 3.Knowledge of Docker/Kubernetes

15 years of experience in software engineering, with at least 5 years of experience in a leadership role. Strong technology expertise in Java, Microservices architecture, AWS cloud platform, AI, and the Angular framework. Solid background in building scalable and distributed systems, with expertise in technologies such as Spring boot (Spring (Core, AOP, Transactions, Data, Security), Cassandra, Kubernetes (K8s), Kafka, Docker and others. Experience with security best practices and protocols (e.g., SSL/TLS, OAuth) Hand on experience towards Architecture and Design patterns. Practice industry's leading best guidelines/processes in building enterprise products/components Proven track record of successfully leading and managing high-performing engineering teams. Excellent communication, interpersonal, and leadership skills. Ability to mentor and coach others, helping them develop their technical and leadership skills. Strong problem-solving and analytical skills. Experience with Agile development methodologies. Ability to prioritize effectively and manage multiple tasks simultaneously. Experience in building and scaling software applications. Experience in recruiting and hiring top-tier engineering talent. Ability to work effectively in a cross-functional team environment.

15 years of experience in software engineering, with at least 5 years of experience in a leadership role. Strong technology expertise in Java, Microservices architecture, AWS cloud platform, AI, and the Angular framework. Solid background in building scalable and distributed systems, with expertise in technologies such as Spring boot (Spring (Core, AOP, Transactions, Data, Security), Cassandra, Kubernetes (K8s), Kafka, Docker and others. Experience with security best practices and protocols (e.g., SSL/TLS, OAuth) Hand on experience towards Architecture and Design patterns. Practice industry's leading best guidelines/processes in building enterprise products/components Proven track record of successfully leading and managing high-performing engineering teams. Excellent communication, interpersonal, and leadership skills. Ability to mentor and coach others, helping them develop their technical and leadership skills. Strong problem-solving and analytical skills. Experience with Agile development methodologies. Ability to prioritize effectively and manage multiple tasks simultaneously. Experience in building and scaling software applications. Experience in recruiting and hiring top-tier engineering talent. Ability to work effectively in a cross-functional team environment.

Role Responsibilities: Design and develop GenAI applications utilizing Python. Implement front-end solutions using Angular or React frameworks. Apply NLP techniques to enhance application functionalities. Optimize machine learning models for performance and scalability. Establish MLOps practices to streamline model deployment. Create and integrate APIs for seamless functionality between applications. Collaborate with cross-functional teams to define project requirements. Conduct code reviews to ensure adherence to best practices. Debug and troubleshoot applications to enhance user experience. Stay updated with industry trends and advancements in GenAI. Document project specifications and technological processes. Participate in regular team meetings to align on goals and challenges. Assist in training team members on GenAI technologies. Maintain version control for project codes and documentation. Provide technical support during product launches. Qualifications: Bachelor's or Master's degree in Computer Science or related field. Proven experience in GenAI development. Strong proficiency in Python programming language. Experience with front-end frameworks such as Angular and React. Hands-on expertise in Natural Language Processing (NLP). Familiarity with machine learning algorithms and models. Understanding of MLOps tools and practices. Experience in API development and integration. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Ability to work independently as well as in a team environment. Attention to detail with a focus on quality outcomes. Familiarity with database systems and management. Experience with version control systems like Git. Knowledge of agile methodologies is a plus.

Key Responsibilities Architecture Development Define and implement AI architecture for enterprise applications. Develop AI frameworks and models that integrate with existing enterprise systems . Ensure AI solutions are scalable, secure, and compliant with data privacy regulations (GDPR, CCPA, etc.) . Technical Leadership & Innovation Architect AI-powered platforms that support Gen-AI & AI frameworks and models. Stay ahead of AI advancements and drive innovation in AI-driven automation, personalization, and optimization . AI Model Development & Optimization Execute the training, fine-tuning, and deployment of LLMs and ML models. Optimize model performance using techniques such as prompt engineering, retrieval-augmented generation (RAG), and knowledge distillation . Implement MLOps and AIOps best practices for continuous model monitoring and improvement. Cloud & Infrastructure Integration Design and deploy AI solutions on Azure AI, AWS SageMaker, Google Vertex AI, or OpenAI services . Ensure AI applications are cloud-native, containerized (Docker, Kubernetes), and scalable . Implement data pipelines, feature stores, and vector databases for efficient AI processing. Cross-Functional Collaboration Work closely with engineering, data science, product, and business teams to align AI initiatives with company goals. Provide technical mentorship and guidance to AI engineers and developers. Communicate AI strategy and roadmaps to senior leadership and stakeholders. Security, Compliance & Responsible AI Ensure AI solutions adhere to ethical AI principles, bias mitigation, and fairness . Implement AI governance frameworks for explainability, accountability, and security. Address risks related to AI hallucinations, adversarial attacks, and regulatory compliance . Qualifications Educational qualification: B-Tech / M-Tech Computer Science preferred Experience : 10+ Years Mandatory/requires Skills : Core AI & GenAI Expertise Strong hands-on experience with LLMs (GPT, Llama, Claude, etc.), ML frameworks (TensorFlow, PyTorch, Hugging Face), and deep learning models . Expertise in GenAI applications, including chatbots, code generation, multimodal AI, and synthetic data generation . Experience with RAG, vector databases (FAISS, Pinecone, Weaviate), and embeddings . Proficiency in AI-driven knowledge management, summarization, and automation . Software Architecture & Engineering Strong understanding of enterprise software architectures, microservices, APIs, and distributed computing . Hands-on experience with Python, Java, Go, or other relevant languages . Familiarity with GraphQL, REST APIs, and event-driven architectures . Experience with MLOps pipelines, CI/CD for AI, and automated AI workflows . Cloud & DevOps Expertise in deploying AI models on Azure, AWS, or Google Cloud . Experience with serverless AI architecture, Kubernetes, and cloud-native AI . Knowledge of data engineering, data lakes, and streaming analytics for AI . Preferred Skills : Leadership & Communication Ability to translate complex AI concepts into business-friendly insights. Strong stakeholder management, presentation, and decision-making skills.

Position Overview We are looking for a highly experienced and versatile Solution Architect Data to lead the solution design and delivery of next-generation data solutions for our BFS clients. The ideal candidate will have a strong background in data architecture and engineering, deep domain expertise in financial services, and hands-on experience with cloud-native data platforms and modern data analytics tools. The role will require architecting solutions across Retail, Corporate, Wealth, and Capital Markets, as well as Payments, Lending, and Onboarding journeys. Possession of Data Analytics and Exposure to Data regulatory domain will be of distinct advantage. Hands on experience of AI & Gen AI enabling data related solution will be a distinct advantage for the position. Key Responsibilities Design and implement end-to-end data solutions for BFS clients, covering data engineering and analytics involving modern data stacks and concepts. Architect cloud-native data platforms using AWS, Azure, and GCP (certifications preferred). Build and maintain data models aligned with Open Banking, Open Finance, SCA, AISP, and PISP requirements. Enrich Solution design by incorporating the construct of industry-standard data architectures using frameworks such as BIAN and lead data standardization programs for banks. Enrich solution architecture by enabling AI and Gen AI paradigm for data engineering, analytics and data regulatory Deliver data solutions in domains like Core Banking, Payments, Lending, Customer Onboarding, Wealth, and Capital Markets. Collaborate with business and technology stakeholders to gather requirements and translate them into scalable data architectures. Solution Design and if needed hands-on in developing lab-class Proof-of-Concepts (POCs) showcasing data-driven capabilities. Lead and contribute to RFX responses for banking and financial services clients and regulatory bodies across UK, EMEA regions. Provide architectural leadership in data initiatives related to regulatory compliance and risk analytics. In this regard, familiarity and working experience of with regulatory software and platform such as SAS, Nice Actimize, and Wolters Kluwer will be preferred. Required Skills & Experience 1218 years of experience in IT with a focus on data solution architecture in BFS domain. Strong delivery and development experience in Retail, Corporate, Wealth, and Capital Market banking domains. Deep understanding of data standards such as BIAN and experience implementing them in banking projects. Expertise in cloud platforms (AWS, Azure, GCP) and leveraging native services for data processing, storage, and analytics. Strong experience in building data models and data solutions for Open Banking, Open Finance, and regulatory needs including SCA, AISP, and PISP. Proficiency in data engineering pipelines and real-time/batch data processing. Experience in designing enterprise data lakes, data warehouses, and implementing data mesh and data lineage frameworks. Hands-on experience in developing rapid POCs and accelerators. Primary Technical Skills Cloud Platforms: AWS, Azure, GCP (certified preferred) Big Data Technologies: Hadoop, Spark, Databricks, Delta Lake Programming Languages: Python, Scala, SQL Data Engineering & Pipelines: Apache Airflow, Kafka, Glue, Data Factory Data Warehousing: Snowflake, Redshift, BigQuery, Synapse Visualization: Power BI, Tableau, Looker Data Governance: Data Lineage, Data Cataloging, Master Data Management Architecture Concepts: Data Mesh, Data Fabric, Event-driven architecture

About this role: Wells Fargo is seeking a Software Engineering Manager In this role, you will: Manage, coach, and develop a team of individual contributor engineering roles with low to moderate complexity and less experienced managers who are responsible for building high quality capabilities with modern technology Ensure adherence to the Banking Platform Architecture, and meeting non-functional requirements with each release Engage with architects and experienced engineers to incorporate Wells Fargo Technology technical strategies, while understanding next generation domain architecture to enable application migration paths to target architecture; for example, cloud readiness, application modernization and data strategy Function as the technical representative for the product during cross-team collaborative efforts and planning Identify and recommend opportunities for driving resolution of technology roadblocks including code, build and deployment while also managing overall software development cycle and security standards Act as an escalation partner for scrum masters and the teams to make decisions and help remove impediments, obstacles, and friction while encouraging constant learning, experimentation, and continual improvement culture Build engineering skills side-by-side in the codebase, conduct peer reviews to evaluate quality and solution alignment to technical direction, and guide design, as needed Interpret, develop, and ensure security, stability, and scalability within functions of technology with low to moderate complexity, as well as identify, manage and mitigate technology and enterprise risk Collaborate and consult with the Product Managers/Product Owners to drive user satisfaction, influence technology requirements and priorities in the product roadmap, promote innovative and intelligent solutions, generate corporate value and articulate technical strategy while being a solid advocate of agile and DevOps practices Interact directly with third party vendors and technology service providers Manage allocation of people and financial resources for technology engineering including career development and performance management for engineers and managers on the team Hire, mentor and guide talent development of direct reports to build the skills required to effectively design and deliver innovative solutions for the supported product areas/products Required Qualifications: 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education 2+ years of Leadership experience Additional Required Qualifications: Software Engineering experience on JAVA, Microservices, Python and/or Web Technologies demonstrated through development work experience. 4+ years of work experience in integration of apps created using the above tech stack with other third party products like ServiceNow. 4+ years of Leadership experience Desired Qualifications: Experience on tech stack of Java, Microservices, Python for more than 12 years is a Must Job Expectations: Lead and Manager Functional Delivery on Legacy apps of Enterprise Business Resiliency function Well Verse with GEN-AI and applicability in the domain of EBR.

Required Qualifications, Capabilities, and Skills: Solid understanding of backend performance optimization and debugging. Formal training or certification on software engineering concepts and proficient applied experience • Strong hands-on experience with Python Experience in developing microservices using Python with FastAPI. Commercial experience in both backend and frontend engineering Hands-on experience with AWS Cloud-based applications development, including EC2, ECS, EKS, Lambda, SQS, SNS, RDS Aurora MySQL & Postgres, DynamoDB, EMR, and Kinesis. Strong engineering background in machine learning, deep learning, and neural networks. Experience with containerized stack using Kubernetes or ECS for development, deployment, and configuration .Experience with Single Sign-On/OIDC integration and a deep understanding of OAuth, JWT/JWE/JWS. Knowledge of AWS SageMaker and data analytics tools. Proficiency in frameworks TensorFlow, PyTorch, or similar. Preferred Qualifications, Capabilities, and Skills: Familiarity with LangChain, Langgraph, or any Agentic Frameworks is a strong plus. Python engineering experience.

Role & responsibilities GenAI Azure AI ML

Job Description Develop fit for purpose AIML models/algorithms/processes to address pharma/healthcare applications and innovative products upon completion of prototypes followed by the building of production grade algorithms/automation engines for client deliverables. Test for viability in order to deliver final products to clients. Able to bring newly researched ideas to reality quickly and on a large scale. Design, build, test, and deliver products from post-prototype to client delivery. Essential Functions Assists with the ongoing development and implementation of an enterprise architecture. May devise and present business cases and program release plans to senior management with priority recommendations to maintain and evolve this architecture. Builds effective business relationships with business line managers and provides technical and system expertise as input to product concepts. May assist product development management to define IT strategic direction and assists in the mapping of projects to that strategic direction whilst ensuring product capabilities and process improvements are delivered over time within the framework of the IQVIA enterprise architecture. Participates in cross-functional product development teams, may also act as a consultant to provide system and technical advice. Keeps up to date with technology changes and identifies opportunities for implementation in future systems. Participates in R&D projects and may run those projects in compliance with standard project management practices. May mentor and assist lower level architects and business analysts Qualifications 10+ years of experience in engineering roles with team management experience 5-7 relevant years experience on NLP, Machine Learning and Deep learning 5-7 relevant years of experience on Python Extensively work on NLP applications, ability to work on Machine learning model, Deep learning development Knowledge of LLMs, fine tuning and deployment Experience annotated datasets for Supervised Learning methods and correction Experience on text to transform natural language into useful features Find and implement the right algorithms and tools for NLP tasks Perform statistical analysis of results and refine models Extend ML libraries and frameworks to apply in NLP tasks Experience on ORM, SQL Alchemy, Alembic is a must Experience on Writing on effective and scalable code Experience on Unit Testing using Pytest or equivalent framework A deep understanding and multi-process architecture and the threading limitations of Python. Familiarity with server-side templating languages including Jinja 2 and Mako is good to have Experience on REST API, Flask API, Fast API is must, Django or Pyramid framework is good to have Knowledge of NER, Knowledge graphs is good to have Education Qualification Master's Degree Masters Degree in Machine Learning, Statistics, Computer Science, Physics, Math, or related field

Role - Senior Data Scientist / Senior Gen AI Engineer Exp Range - 8 to 18 yrs Position - Permanent Fulltime Company - Data Analytics & AIML MNC Location - Hyderabad, Pune, Bangalore (Relocation accepted) About the Role: We are seeking a Software Engineer with expertise in Generative AI and Microsoft technologies to design, develop, and deploy AI-powered solutions using the Microsoft ecosystem. You will work with cross-functional teams to build scalable applications leveraging generative AI models and Azure services. Skills Required: Experience with Large Language Models (LLMs) like GPT, LLaMA, Claude, etc. Proficiency in Python for building and fine-tuning AI/ML models Familiarity with LangChain , LLMOps , or RAG (Retrieval-Augmented Generation) pipelines Experience with Vector Databases (e.g. FAISS, Pinecone, Weaviate) Knowledge of Prompt Engineering and model evaluation techniques Exposure to cloud platforms (Azure, AWS or GCP) for deploying GenAI solutions Preferred Skills: Experience with Azure OpenAI , Databricks or Microsoft Fabric Hands-on with Hugging Face Transformers , OpenAI APIs or custom model training

ABOUT THE ROLE Role Description: We are seeking an accomplished and visionary Data Scientist/ GenAI developer to join Amgens Enterprise Data Management team. As part of MDM team, you will be responsible for design ing , develop ing , and deploy ing Generative AI and ML models to power data-driven decisions across business domains. This role is ideal for an AI practitioner who thrives in a collaborative environment and brings a strategic mindset to applying advanced AI techniques to solve real-world problems. To succeed in this role, the candidate must have strong AI/ML, Data Science , GenAI experience along with MDM knowledge, hence the candidates having only MDM experience are not eligible for this role. Candidate must have AI/ML, data science and GenAI experience on technologies like ( PySpark / PyTorch , TensorFlow, LLM , Autogen , Hugging FaceVectorDB , Embeddings, RAGs etc ), along with knowledge of MDM (Master Data Management) Roles & Responsibilities: Develop enterprise-level GenAI applications using LLM frameworks such as Langchain, Autogen, and Hugging Face. Design and develop intelligent pipelines using PySpark, TensorFlow, and PyTorch within Databricks and AWS environments. Implement embedding models andmanage VectorStores for retrieval-augmented generation (RAG) solutions. Integrate and leverage MDM platforms like Informatica and Reltio to supply high-quality structured data to ML systems. Utilize SQL and Python for data engineering, data wrangling, and pipeline automation. Build scalable APIs and services to serve GenAI models in production. Lead cross-functional collaboration with data scientists, engineers, and product teams to scope, design, and deploy AI-powered systems. Ensure model governance, version control, and auditability aligned with regulatory and compliance expectations. Basic Qualifications and Experience: Masters degree with 4 - 6 years of experience in Business, Engineering, IT or related field OR Bachelors degree with 6 - 9 years of experience in Business, Engineering, IT or related field OR Diploma with 10 - 12 years of experience in Business, Engineering, IT or related field Functional Skills: Must-Have Skills: 6+ years of experience working in AI/ML or Data Science roles, including designing and implementing GenAI solutions. Extensive hands-on experience with LLM frameworks and tools such as Langchain, Autogen, Hugging Face, OpenAI APIs, and embedding models. Strong programming background with Python, PySpark, and experience in building scalable solutions using TensorFlow, PyTorch, and SK-Learn. Proven track record of building and deploying AI/ML applications in cloud environments such as AWS. Expertise in developing APIs, automation pipelines, and serving GenAI models using frameworks like Django, FastAPI, and DataBricks. Solid experience integrating and managing MDM tools (Informatica/Reltio) and applying data governance best practices. Guide the team on development activities and lead the solution discussions Must have core technical capabilities in GenAI, Data Science space Good-to-Have Skills: Prior experience in Data Modeling, ETL development, and data profiling to support AI/ML workflows. Working knowledge of Life Sciences or Pharma industry standards and regulatory considerations. Proficiency in tools like JIRA and Confluence for Agile delivery and project collaboration. Familiarity with MongoDB, VectorStores, and modern architecture principles for scalable GenAI applications. Professional Certifications : Any ETL certification (e.g. Informatica) Any Data Analysis certification (SQL) Any cloud certification (AWS or AZURE) Data Science and ML Certification Soft Skills: Strong analytical abilities to assess and improve master data processes and solutions. Excellent verbal and written communication skills, with the ability to convey complex data concepts clearly to technical and non-technical stakeholders. Effective problem-solving skills to address data-related issues and implement scalable solutions. Ability to work effectively with global, virtual teams.

Machine Learning, Deep Learning models, Data Science. (Important);-R / python programming (mandatory) ;- Fast API development ;- deployment of models experience ; - any cloud Azure (good to have - for this requirement); - basics of Generative AI , NLP (optional - Good to have) GIS data, Geospatial data, Google Maps, ArcGIS, Demand pattern analysis 5 to 15 Yrs Bangalore

Notice - Immediate - 15 days serving. PF Mandatory! Role & responsibilities 5+ years of experience in machine learning, with a focus on generative models or autonomous agents. Proficiency in Python and ML frameworks such as PyTorch Experience with LLMs (e.g., GPT, Claude, LLaMA, Cortex), transformers, and diffusion models. Familiarity with agent frameworks (e.g., LangChain, AutoGPT, ReAct, OpenAgents). Experience with AWS and Snowflake services Prior Healthcare experience Strong understanding of reinforcement learning, planning algorithms, and multi-agent systems. Excellent problem-solving and communication skills. -- Thanks & Regards, Karthik Kumar, IT Recruiter SP Software (P) Limited (An ISO, ISMS & CMMI Level-3 Certified company) An SP Group Enterprise. Connect on : linkedin.com/in/b-karthik-kumar-116990179

ABOUT THE ROLE Role Description: We are seeking an accomplished and visionary Data Scientist/ GenAI developer to join Amgens Enterprise Data Management team. As part of MDM team, you will be responsible for design ing , develop ing , and deploy ing Generative AI and ML models to power data-driven decisions across business domains. This role is ideal for an AI practitioner who thrives in a collaborative environment and brings a strategic mindset to applying advanced AI techniques to solve real-world problems. To succeed in this role, the candidate must have strong AI/ML, Data Science , GenAI experience along with MDM knowledge, hence the candidates having only MDM experience are not eligible for this role. Candidate must have AI/ML, data science and GenAI experience on technologies like ( PySpark / PyTorch , TensorFlow, LLM , Autogen , Hugging FaceVectorDB , Embeddings, RAGs etc ), along with knowledge of MDM (Master Data Management) Roles & Responsibilities: Develop enterprise-level GenAI applications using LLM frameworks such as Langchain, Autogen, and Hugging Face. Design and develop intelligent pipelines using PySpark, TensorFlow, and PyTorch within Databricks and AWS environments. Implement embedding models andmanage VectorStores for retrieval-augmented generation (RAG) solutions. Integrate and leverage MDM platforms like Informatica and Reltio to supply high-quality structured data to ML systems. Utilize SQL and Python for data engineering, data wrangling, and pipeline automation. Build scalable APIs and services to serve GenAI models in production. Lead cross-functional collaboration with data scientists, engineers, and product teams to scope, design, and deploy AI-powered systems. Ensure model governance, version control, and auditability aligned with regulatory and compliance expectations. Basic Qualifications and Experience: Masters degree with 4 - 6 years of experience in Business, Engineering, IT or related field OR Bachelors degree with 6 - 9 years of experience in Business, Engineering, IT or related field OR Diploma with 10 - 12 years of experience in Business, Engineering, IT or related field Functional Skills: Must-Have Skills: 6+ years of experience working in AI/ML or Data Science roles, including designing and implementing GenAI solutions. Extensive hands-on experience with LLM frameworks and tools such as Langchain, Autogen, Hugging Face, OpenAI APIs, and embedding models. Strong programming background with Python, PySpark, and experience in building scalable solutions using TensorFlow, PyTorch, and SK-Learn. Proven track record of building and deploying AI/ML applications in cloud environments such as AWS. Expertise in developing APIs, automation pipelines, and serving GenAI models using frameworks like Django, FastAPI, and DataBricks. Solid experience integrating and managing MDM tools (Informatica/Reltio) and applying data governance best practices. Guide the team on development activities and lead the solution discussions Must have core technical capabilities in GenAI, Data Science space Good-to-Have Skills: Prior experience in Data Modeling, ETL development, and data profiling to support AI/ML workflows. Working knowledge of Life Sciences or Pharma industry standards and regulatory considerations. Proficiency in tools like JIRA and Confluence for Agile delivery and project collaboration. Familiarity with MongoDB, VectorStores, and modern architecture principles for scalable GenAI applications. Professional Certifications : Any ETL certification (e.g. Informatica) Any Data Analysis certification (SQL) Any cloud certification (AWS or AZURE) Data Science and ML Certification Soft Skills: Strong analytical abilities to assess and improve master data processes and solutions. Excellent verbal and written communication skills, with the ability to convey complex data concepts clearly to technical and non-technical stakeholders. Effective problem-solving skills to address data-related issues and implement scalable solutions. Ability to work effectively with global, virtual teams We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.