69 Open Ai Jobs

As a skilled professional in Python programming, you will utilize your hands-on experience in Python LangChain programming to implement Generative AI based solutions using Infosys and industry standard tools and platforms. Your expertise in using Traditional AI/ML Models in SDLC will be crucial in the development process. You will also leverage Azure AI Services in projects to enhance the efficiency and effectiveness of AI solutions. Your knowledge and experience in Generative AI Concepts such as Advanced Prompt Engineering, RAG, and leveraging LLMs will be instrumental in creating innovative and cutting-edge solutions. Excellent communication and analytical skills are essential for this role to effectively collaborate with cross-functional teams and ensure that prompts align with company objectives and user experience. Additionally, you will implement prompt engineering techniques to evaluate model behavior under various input conditions and refine prompts for better accuracy and desired results. Your responsibilities will include performing AI assurance to test AI-infused applications, identifying and reporting bugs, performance bottlenecks, and safety issues. Staying up-to-date with the latest advancements in Generative AI and testing methodologies is also a key aspect of this role to ensure the continuous improvement of AI solutions. While knowledge about Agentic AI Frameworks, Commercial GenAI Platforms/Tools (Optional), and OpenAI models is important, your main focus will be on implementing Generative AI solutions and ensuring their effectiveness and reliability. Your attention to detail and ability to identify and address issues will contribute to the overall success of AI projects.,

Role - Cloud Architect Analytics & Data Products Were looking for a Cloud Architect / Lead to design, build, and manage scalable AWS infrastructure that powers our analytics and data product initiatives. This role focuses on automating infrastructure provisioning , application/API hosting , and enabling data and GenAI workloads through a modern, secure cloud environment. Key Responsibilities Design and provision AWS infrastructure using Terraform or AWS CloudFormation to support evolving data product needs. Develop and manage CI/CD pipelines using Jenkins , AWS Code Pipeline , Code Build , or GitHub Actions . Deploy and host internal tools, APIs, and applications using ECS , EKS , Lambda , API Gateway , and ELB . Provision and support analytics and data platforms using S3 , Glue , Redshift , Athena , Lake Formation , and orchestration tools like Step Functions or Apache Airflow (MWAA) . Implement cloud security, networking, and compliance using IAM , VPC , KMS , CloudWatch , CloudTrail , and AWS Config . Collaborate with data engineers, ML engineers, and analytics teams to align infrastructure with application and data product requirements. Support GenAI infrastructure, including Amazon Bedrock , Sage Maker , or integrations with APIs like Open AI . Requirements 10-14 years of experience in cloud engineering, DevOps, or cloud architecture roles. Strong hands-on expertise with the AWS ecosystem and tools listed above. Proficiency in scripting (e.g., Python , Bash ) and infrastructure automation. Experience deploying containerized workloads using Docker , ECS , EKS , or Fargate . Familiarity with data engineering and GenAI workflows is a plus. AWS certifications (e.g., Solutions Architect , DevOps Engineer ) are preferred. Show more Show less

Inviting applications for the role of Lead Consultant-Full Stack Developer We are seeking a talented Full Stack Developer to join our dynamic team. The ideal candidate will have a strong background in both front-end and back-end development, playing a crucial role in designing and implementing robust web applications that support business objectives. Responsibilities Design and implement enterprise-grade APIs using Node.js and NestJS i n a hybrid Azure environment. Lead backend architecture planning, service decomposition, and scalability strategies. Lead UI design consistency through Storybook and establish scalable design systems. Model and manage data access using Prisma ORM with Azure Cosmos DB ( PostgreSQL ). Own API documentation and lifecycle via OpenAP I and Azure API Management. Architect and build high-performance frontend apps using React (Javascript / TypeScript) and Radix UI . Own multilingual implementation and accessibility using i18next and WCAG principles. Drive frontend DevOps: optimize builds with Webpack and deploy to Azure Static Web Apps. Mentor junior developers & team to enforce coding standards using monorepo (Nx) framework, modern UI/UX practices and test-driven development. Deploy services to Azure App Services and Azure Functions based on workload needs. Document and manage APIs using the OpenAPI (Swagger) standard via Azure API Management . Qualifications we seek in you! Minimum Qualifications Bachelor's degree in computer science, information technology, or a related field. Preferred Qualifications/ Skills Relevant experience in respective role. • Strong knowledge of TypeScript , PostgreSQL , REST APIs , and cloud deployments . • Strong leadership, mentoring, and architecture-level decision-making experience. • Experience working in monorepo framework and Agile DevOps cultures. • Experience with Azure services like App Services , Functions, and Key Vault

Key Responsibilities: We are looking for smart self driven high energy people with top notch communication skills intellectual curiosity and passion for technology in Machine Learning Space Our analysts have a blend of in depth domain expertise in one or more areas Financial Services strong business acumen and excellent soft skills Exposure to Technology Preferred Skills: Technology->Machine Learning->Generative AI->closed models (azure open ai)

The ideal candidate should have hands-on experience in Collibra Workflows, asset model creation, cataloguing, and assessment creation. Additionally, exposure to AI platforms such as Open AI, Bedrock, and integration platforms like snaplogic and mulesoft is required. A deep understanding and practical knowledge of IDEs such as Eclipse/PyCharm or any Workflow Designer is essential. Experience with one or more of the following languages: Java, JavaScript, Groovy, Python is preferred. Moreover, deep understanding and hands-on experience of CICD processes and tooling e.g., GitHub is necessary. Candidates should have experience working in Dev-Ops teams based on Kubernetes tools and converting a business workflow into an automated set of actions. Proven knowledge in scripting and a willingness to learn new languages is expected. Excellent communication skills in written & spoken English, interpersonal skills, and a collaborative approach to delivery are crucial. An enthusiasm for great documentation including high level designs, low level designs, coding standards, and Knowledge Base Articles is highly appreciated. Desirable qualifications include an Engineering Degree in IT/Computer Science with a minimum of 10 years of experience. Knowledge and experience of the Collibra Data Governance platform, exposure to AI models, AI governance, data policies, and governance are advantageous. Basic AWS knowledge is a plus. Familiarity with integration technologies like Mulesoft and Snaplogic is beneficial. Excellent Jira skills, including the ability to rapidly generate JQL on-the-fly and save JQL queries/filters/views/etc for publishing to fellow engineers & senior stakeholders, are desired. Candidates should have experience in the creation of documentation in Confluence and Agile practices, preferably having been part of an Agile team for several years. Joining Virtusa means becoming part of a team that values teamwork, quality of life, professional and personal development. With a global team of 27,000 people, Virtusa aims to provide exciting projects, opportunities, and work with state-of-the-art technologies throughout your career with us. Great minds, great potential, and a dynamic environment await you at Virtusa, where collaboration and excellence are nurtured.,

You should have 3 to 10 years of experience in AI development and be located in Coimbatore. Immediate joiners are preferred. A minimum of 2 years of experience in core Gen AI is required. As an AI Developer, your responsibilities will include designing, developing, and fine-tuning Large Language Models (LLMs) for various in-house applications. You will implement and optimize Retrieval-Augmented Generation (RAG) techniques to enhance AI response quality. Additionally, you will develop and deploy Agentic AI systems capable of autonomous decision-making and task execution. Building and managing data pipelines for processing, transforming, and feeding structured/unstructured data into AI models will be part of your role. It is essential to ensure scalability, performance, and security of AI-driven solutions in production environments. Collaboration with cross-functional teams, including data engineers, software developers, and product managers, is expected. You will conduct experiments and evaluations to improve AI system accuracy and efficiency while staying updated with the latest advancements in AI/ML research, open-source models, and industry best practices. You should have strong experience in LLM fine-tuning using frameworks like Hugging Face, DeepSpeed, or LoRA/PEFT. Hands-on experience with RAG architectures, including vector databases such as Pinecone, ChromaDB, Weaviate, OpenSearch, and FAISS, is required. Experience in building AI agents using LangChain, LangGraph, CrewAI, AutoGPT, or similar frameworks is preferred. Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow is necessary. Experience in Python web frameworks such as FastAPI, Django, or Flask is expected. You should also have experience in designing and managing data pipelines using tools like Apache Airflow, Kafka, or Spark. Knowledge of cloud platforms (AWS/GCP/Azure) and containerization technologies (Docker, Kubernetes) is essential. Familiarity with LLM APIs (OpenAI, Anthropic, Mistral, Cohere, Llama, etc.) and their integration in applications is a plus. A strong understanding of vector search, embedding models, and hybrid retrieval techniques is required. Experience with optimizing inference and serving AI models in real-time production systems is beneficial. Experience with multi-modal AI (text, image, audio) and familiarity with privacy-preserving AI techniques and responsible AI frameworks are desirable. Understanding of MLOps best practices, including model versioning, monitoring, and deployment automation, is a plus. Skills required for this role include PyTorch, RAG architectures, OpenSearch, Weaviate, Docker, LLM fine-tuning, ChromaDB, Apache Airflow, LoRA, Python, hybrid retrieval techniques, Django, GCP, CrewAI, OpenAI, Hugging Face, Gen AI, Pinecone, FAISS, AWS, AutoGPT, embedding models, Flask, FastAPI, LLM APIs, DeepSpeed, vector search, PEFT, LangChain, Azure, Spark, Kubernetes, AI Gen, TensorFlow, real-time production systems, LangGraph, and Kafka.,

Role and Responsibilities: Build, design, and deploy solutions, new integrations/APIs (.NET). Update existing API functionalities (enhancements or bugfixes) on Azure Services (APIM, Azure functions). Develop front-end applications using Angular/Angular js and database development using MSSQL, MySQL, Cosmos DB Develop scalable and secure microservices using .Net core, Docker and Kubernetes Work with CI/CD regards to the deployment, management, and operation of applications on Azure, ensuring optimal performance. Design, develop, and optimize OpenAI-powered applications, chatbots, and AI-based customer support systems. Mandatory Skills Experience with Microsoft Azure services like Azure functions, API Management, App services, Azure data factory, Key vault, App insights, Azure DevOps. Proficiency in scripting and programming languages such as C#, Angular js, Angular and T SQL Excellent problem-solving and troubleshooting skills. Good to Have Experience with OpenAI GPT models and their practical applications. Experience with Cursor or similar AI code editors, Azure AI studio and RAG architectures Knowledge of security best practices like PCI and compliance standards for cloud environments. Working knowledge at least one of Redis, Rabbit MQ and Couchbase Strong collaboration and communication skills, with the ability to work effectively with cross-functional teams. Education UG: B. Sc in Any Specialization, B. Tech/B.E. in Any Specialization Key Skills C#, .Net (ver 8,6, 3.1), MS SQL Server, My SQL, Azure Services (Functions, API Management, Data factory, Devops, App Insights), CI/CD, Redis, Cosmos DB, Rabbit MQ, Couch base Location Malad West, Mumbai Notice Period: Immediate to 30 Days

We are seeking an experienced Senior Azure .NET Developer with a strong background in developing scalable cloud-based applications and services. The ideal candidate will have extensive experience working with .NET (8.0, 6.0), .NET Core, and Azure services, along with a solid understanding of AI/ML and OpenAI large language models (LLMs). The role also requires hands-on experience in CI/CD pipelines, containerization, and database technologies. Prior team leadership or mentoring experience is highly desirable. Key Responsibilities Design, develop, and maintain cloud-native applications using .NET 8.0, 6.0, and .NET Core frameworks. Build and deploy microservices and serverless functions leveraging Azure Functions and other Azure services such as Azure API Management (APIM), Cosmos DB, and Azure DevOps. Implement and manage CI/CD pipelines using Azure DevOps or similar tools to ensure smooth, automated deployments. Develop and maintain containerized applications using Docker. Work closely with data teams and architects to design solutions incorporating MSSQL Server and Cosmos DB. Integrate AI/ML capabilities and OpenAI large language models into applications to enhance functionality. Ensure high code quality, unit testing, and adherence to best practices in software development. Collaborate with cross-functional teams including product owners, UX/UI designers, and QA to deliver high-quality software products. Provide technical leadership and mentorship to junior developers, and support team lead activities when required. Participate in architectural discussions and provide input on system design and enhancements. Troubleshoot and resolve complex technical issues in production environments. Stay updated with the latest industry trends and Azure innovations to continuously improve the product and processes. Required Skills and Experience Minimum 7 years of experience in .NET development , including expertise in .NET 8.0 and 6.0, and .NET Core. Strong hands-on experience with Azure services , including but not limited to: Azure API Management (APIM) Azure Functions Azure DevOps (CI/CD pipelines) Expertise in containerization technologies like Docker . Proficient in database management with MSSQL Server and Cosmos DB . Practical experience with AI, Machine Learning (ML), and OpenAI Large Language Models (LLMs) . Knowledge of best practices in cloud-native application development. Experience in building and deploying scalable, resilient microservices. Previous experience in team leadership or mentoring is a plus. Strong problem-solving skills and ability to troubleshoot complex systems. Excellent communication and collaboration skills. Educational Qualification Bachelors or Master’s degree in Computer Science, Information Technology, or a related field.

Role and Responsibilities: Design, code and implement scalable, maintainable, secure cloud solutions using .NET, .Net Core and Microsoft Azure. Implement DevOps practices, including continuous integration and continuous deployment (CI/CD) pipelines. Develop front-end applications using Angular/Angular js and database development using MSSQL, MySQL, Cosmos DB Develop scalable and secure microservices using .Net core, Docker and Kubernetes Oversee the deployment, management, and operation of applications on Azure, ensuring optimal performance. Design, develop, and optimize OpenAI-powered applications, chatbots, and AI-based customer support systems. Mentor junior developers to resolve technical hurdles and ensure clean, efficient code delivery. Mandatory Skills In-depth knowledge of cloud computing concepts and experience with Microsoft Azure services like Azure functions, API Management, AKS, App services, Azure data factory, Key vault, App insights, Azure DevOps. Proficiency in scripting and programming languages such as Angular js, Angular, T SQL and C#. Experience with OpenAI GPT models and their practical applications. Experience with Cursor or similar AI code editors, Azure AI studio, OpenAI API, Lang Chain and RAG architectures Knowledge of security best practices like PCI and compliance standards for cloud environments. Excellent problem-solving and troubleshooting skills. Worked knowledge of at least one of Redis, Rabbit MQ and Couchbase Strong collaboration and communication skills, with the ability to work effectively with cross-functional teams. Education UG: B. Sc in Any Specialization, B. Tech/B.E. in Any Specialization Key Skills C#, .Net (ver 8,6, 3.1), MS SQL Server, My SQL, Azure Services (Functions, API Management, Data factory, Devops, App Insights, AKS), CI/CD, Docker, Kubernetes, Redis, Cosmos DB, Rabbit MQ, Couch base, Open AI, ML, OpenAI API, Lang Chain Location Malad West, Mumbai Notice Period: Immediate to 30 Days

Role & responsibilities Building a Prompt Engineers Team requires a thoughtful approach that balances technical expertise, domain knowledge, and creativity. Heres a step-by-step plan to help you build an effective team: Step-by-Step Guide to Building a Prompt Engineering Team 1. Define the Purpose and Scope Start with clarity on: • Why you need a prompt engineering team (e.g., to improve chatbot accuracy, optimize RAG pipelines, generate content, automate processes). • Where prompts will be applied (e.g., customer support, legal research, code generation, marketing content). • What models/tools youre using (e.g., OpenAI GPT-4, Claude, Mistral, LangChain, LlamaIndex, Pinecone, etc.). 2. Identify Key Roles to Hire You dont need only prompt writers — build a balanced team. Typical roles include: Core Prompt Engineers • Focused on crafting, testing, and refining prompts • Excellent with language, logic, and experimentation NLP/LLM Engineers • Technical experts who understand model internals, fine-tuning, embeddings, and vector search • Useful if you’re building complex RAG or multi-agent systems Creative Writers or UX Writers (Optional) • Can write natural, engaging, or persuasive prompts especially for customer-facing apps or content generation Evaluation & QA Specialists • Test prompt outputs for accuracy, bias, safety, and relevance • Help benchmark performance 3. Create a Hiring Strategy Look for Candidates Who: • Understand LLM behavior and limitations • Have experience with OpenAI, Claude, or open-source models • Are comfortable with both creative writing and logical reasoning • Can iterate based on output quality Where to Find Them: • AI/NLP communities on Twitter, Discord (e.g., EleutherAI, LangChain) • LinkedIn with filters like: “Prompt Engineer,” “LLM Developer,” “NLP Engineer” • Platforms like GitHub (search AI prompt repositories), Kaggle, Upwork, Toptal 4. Set Up Your Tech Stack Equip the team with: • LLM Access: OpenAI API, Anthropic, HuggingFace, Cohere • Prompt Testing Tools: PromptLayer, LangSmith, PromptPerfect, Flowise • RAG Stack (if needed): LangChain, LlamaIndex, Chroma, Weaviate, Pinecone • Version Control: GitHub + prompt libraries • Prompt Analytics/Logging: To track changes, feedback loops, hallucinations, and success rates 5. Define a Workflow • Prompt Design Test Evaluate Refine Deploy Monitor • Use prompt templates (Few-shot, Chain-of-Thought, ReAct, etc.) • Implement CI for prompt validation if prompts are part of codebase 6. Build a Knowledge Base Document: • Prompt templates and examples • What works well (prompt tuning guides) • Failure cases and anti-patterns • Team learnings, A/B test results, and prompt libraries 7. Encourage Experimentation LLMs are probabilistic — experimentation is critical. Create a culture where: • Engineers test various prompt formats and model behaviors • Insights are shared internally • Prompt quality is benchmarked over time Preferred candidate profile Bonus: Team Composition Example (Startup Scale) Role Count Notes Prompt Engineer 2 NLP-aware, skilled with prompt design & LLMs NLP/LLM Developer 1 Can build pipelines, evaluate embeddings, tune models QA / Evaluator 1 Reviews and scores AI output for relevance, tone, accuracy Creative Writer (Optional) 1 Especially useful for marketing, support, or storytelling prompts Final Tip: Your first hires should be T-shaped people – with deep LLM experience but broad enough to collaborate across engineering, product, and UX.

Perform gap analysis & assess the impact of AI implementations on business processes Develop prototypes & proof-of-concept AI solutions using tools like Python, TensorFlow, or R Support UAT Required Candidate profile Experience in AI/ML or data analytics projects, AI/ML concepts, data pipelines, statistical modeling Proficiency in Python, R, or SQL preferred, AI tools - Azure AI, AWS SageMaker, Google AI, OpenAI

Role & responsibilities Sr. AI/ML Engineer Years of experience: 5+ years (with a minimum of 4 years of relevant experience) Work mode: WFO- Chennai (mandate) Type: FTE Notice Period: Immediate Joiners Key skills: Python, Tensorflow, Generative AI, Machine Learning, AWS, Agentic AI, Open AI, Claude, Fast API Job Description: Experience in Gen AI, CI/CD pipelines, scripting languages, and a deep understanding of version control systems(e.g, Git), containerization (e.g, Docker), and continuous integration/deployment tools (e.g, Jenkins) ,third-party integration is a plus, cloud computing platforms (e.g, AWS, GCP, Azure), Kubernetes, and Kafka. Experience building production-grade ML pipelines. Proficient in Python and frameworks like Tensorflow, Keras , or PyTorch. Experience with cloud build, deployment, and orchestration tools Experience with MLOps tools such as MLFlow, Kubeflow, Weights & Biases, AWS Sagemaker, Vertex AI, DVC, Airflow, Prefect, etc. Experience in statistical modeling, machine learning, data mining, and unstructured data analytics. Understanding of ML Lifecycle, MLOps,& Hands-on experience to Productionize the ML Model Detail-oriented, with the ability to work both independently and collaboratively. Ability to work successfully with multi-functional teams, principals, and architects, across organizational boundaries and geographies. Equal comfort driving low-level technical implementation and high-level architecture evolution Experience working with data engineering pipelines Preferred candidate profile

You are an experienced professional with over 10 years of total experience, seeking a new opportunity to showcase your expertise in Python, LLM integration, and GenAI development workflows. Your strong knowledge in prompt engineering, vector databases, retrieval-augmented generation (RAG), and toolchains sets you apart. You have hands-on experience with Agentic AI and Open AI, as well as agent frameworks like LangChain Agents, Semantic Kernel, Haystack, or custom-built agents. Your proven track record includes leading LLM/GenAI projects from Proof-of-Concept to Production, showcasing your deep understanding of modern data workflows including ingestion, transformation, cataloguing, validation, and analytics. Collaboration is key for you, as you have the ability to work across engineering, product, and governance teams. Experience with enterprise data products, MLOps, or DataOps platforms, as well as familiarity with governance workflows and metadata-driven automation, are part of your skill set. Your responsibilities will include understanding clients" business use cases and technical requirements to create elegant technical designs, mapping decisions with requirements, identifying the best solutions, and defining guidelines and benchmarks for NFR considerations during project implementation. You will be responsible for writing and reviewing design documents, reviewing architecture and design, ensuring best practices are followed, and developing overall solutions for functional and non-functional requirements. To excel in this role, you should have a Bachelor's or Master's degree in computer science, Information Technology, or a related field. Your excellent communication and collaboration skills will be essential as you resolve issues raised during code/review and carry out POCs to validate suggested designs and technologies. Join us at Nagarro and be part of a dynamic and non-hierarchical work culture where your expertise will be valued and your contributions will make a difference.,

Job Title: Senior Programmer- AI & Data Engineering Location: Work from Office Experience Required: 3+ Years Job Type: Full-Time Department: Technology / Engineering Job Summary: We are seeking a highly skilled and motivated Senior Programmer with a strong background in AI development, Python programming , and data engineering . The ideal candidate will have hands-on experience with OpenAI models , Machine Learning , Prompt Engineering , and frameworks such as NLTK , Pandas , and Numpy . You will work on developing intelligent systems, integrating APIs, and deploying scalable solutions using modern data and cloud technologies. Key Responsibilities: Design, develop, and optimize intelligent applications using OpenAI APIs and machine learning models. Create and refine prompts for Prompt Engineering to extract desired outputs from LLMs (Large Language Models). Build and maintain scalable, reusable, and secure REST APIs for AI and data applications. Work with large datasets using Pandas , NumPy , SQL , and integrate text analytics using NLTK . Collaborate with cross-functional teams to understand requirements and translate them into technical solutions. Use the Function Framework to encapsulate business logic and automate workflows. Apply basic knowledge of cloud platforms (AWS, Azure, or GCP) for deployment and scaling. Assist in data integration, processing, and transformation for Big Data systems. Write clean, maintainable, and efficient Python code. Conduct code reviews, mentor junior developers, and lead small projects as needed. Required Skills & Qualifications: Minimum 3 years of experience in Python development with a strong focus on AI and ML. Proven expertise in OpenAI tools and APIs . Hands-on experience with Machine Learning models and Prompt Engineering techniques. Solid programming skills using Python , along with libraries like Pandas , Numpy , and NLTK . Experience developing and integrating REST APIs . Working knowledge of SQL and relational database systems. Familiarity with Function Frameworks and modular design patterns. Basic understanding of cloud platforms (AWS/GCP/Azure) and Big Data concepts. Strong problem-solving skills and ability to work in a fast-paced environment. Excellent communication and collaboration skills. Preferred Qualifications: Exposure to Docker , Kubernetes , or similar container orchestration tools. Understanding of MLOps , data pipelines , or cloud-based AI deployments . Experience with version control systems like Git and CI/CD pipelines.

.Net Core + Angular + Azure Cognitive Services (Open AI)

Role & responsibilities Design and deploy scalable AI solutions using Azure AI services Write and integrate Python code for AI models, data ingestion and automation. Work with senior developers and cross-functional teams to implement AI features into current systems and applications. Stay updated with the latest advancements in AI and Azure technologies. Preferred candidate profile Bachelors degree in computer science, Engineering, or a related field. Proficiency in programming languages such as Python or C# 5+ years of experience with AI solutions using Azure AI services Experience with LangChain or Semantic Kernel frameworks Experience with Azure AI Services like AI Search, OpenAI and Document Intelligence Experience with Azure Compute Services such as Azure Functions and Apps Services Experience with API development and integration Strong problem-solving skills and attention to detail

We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in! REQUIREMENTS: Total experience 10+ years. Expertise in Python, LLM integration, and GenAI development workflows Strong knowledge of prompt engineering, vector databases, retrieval-augmented generation (RAG), and toolchains Strong working experience in Agentic AI and Open AI. Hands-on experience with agent frameworks like LangChain Agents, Semantic Kernel, Haystack, or custom-built agents Proven experience in leading LLM/GenAI projects from Proof-of-Concept to Production Deep understanding of modern data workflows ingestion, transformation, cataloguing, validation, and analytics Ability to work collaboratively across engineering, product, and governance teams Experience with enterprise data products, MLOps, or DataOps platforms Familiarity with governance workflows and metadata-driven automation Exposure to cognitive architectures or agent simulation environments Excellent communication and collaboration skills. RESPONSIBILITIES: Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements. Mapping decisions with requirements and be able to translate the same to developers. Identifying different solutions and being able to narrow down the best option that meets the client’s requirements. Defining guidelines and benchmarks for NFR considerations during project implementation Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed. Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it Understanding and relating technology integration scenarios and applying these learnings in projects Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken. Carrying out POCs to make sure that suggested design/technologies meet the requirements.

About The Role Management Level: 09 - Consultant Must have skills: ML algorithms, NLP and Predictive Analytics, Conversational Analytics, Python, Cloud Knowledge (Azure/AWS/GCP), Proficiency in BI tools (Power BI/Tableau/ Qlik Sense/ThoughtSpot/ Figma etc.). Leverages artificial intelligence and machine learning techniques to enhance BI processes along with consulting experience of AI driven BI Transformations (Defining BI Governance, Operating model, Assessment Framework etc.) Good to have skills: Knowledge of Gen AI Models implementation (Open AI, Mistral, Phi-2, Solar, Claude 3 etc.), Agentic architecture implementation About S&C - Global Network :- Accenture Strategy & Consulting Global shapes our clients future, combining deep business insight with the understanding of how technology will change industry and business models. Our focus on issues related to business intelligence, Analytics and data insights using AI & GEN AI strategy and solutions. Today, digital is changing the way organizations engage with their employees, business partners, customers, and communities. This is our unique differentiator. S&C Global Network a distributed management consulting organization that provides management consulting and strategy expertise across the client lifecycle. Our S&C Global Network teams complement our in-country teams to deliver innovative expertise and measurable value to clients all around the world. WHATS IN IT FOR YOU Youll be part of a diverse, vibrant, BI Strategy team which has dynamic and innovative group of creating Data and BI Strategy & Consulting professionals. We understand the vision and mission of our customers & help them by developing innovative BI Strategy with value driven use cases, roadmap & technological solutions that drive business growth and innovation. As a key pillar of our organization, the Engineering Products team worked on various fields from BI , Data & AI perspective- BI Strategy, AI Enabled BI Strategy, Data Modelling, Data Architecture, Industry & AI Value strategy etc. that helps our customers in setting up strong data platform foundation & target roadmap to scaling & evolve towards achieving AI/GEN AI & advanced analytics vision to meet the evolving future needs of technology advancement. What you would do in this role Participate in visioning workshop & develop innovative BI Strategy & architecture frameworks tailored to the unique goals and aspirations of our clients, ensuring alignment with their evolving needs and preferences. Conduct comprehensive evaluations of clients' existing processes, technologies, and data ecosystems, uncovering opportunities for AI integration that resonate with Gen AI values and lifestyles. Align with industry & function teams, understand business problems, and translate it to BI , BI Governance , AI enabled BI and Operating Model , Develop target strategy with respect to Business Intelligence, Tools & Technology, BI Operating Model, BI Governance, AI Enabled BI needs along with Key initiatives & roadmap. Propose best suited LLMs (Large Language Model-GPT 3.5, 4, Llama etc.) as per the selection criteria framework & serve as a trusted advisor to our clients, offering expert guidance on AI Enabled BI Propose adoption strategies that resonate with BI and plan persona-based BI strategy for enterprise function. Work closely with cross-functional teams to co-create and implement innovative . He should be able to define personas and persona journey from functional and technical aspects with respect to Business Intelligence Able to architect , delivery and design BI Enabled AI solutions that address the complex challenges faced by customers and businesses. Participate in client engagements with confidence and finesse, overseeing project scope, timelines, and deliverables to ensure seamless execution and maximum impact. Facilitate engaging workshops and training sessions to empower BI Client stakeholders with the knowledge and skills needed to embrace Data driven transformation enabled through AI. Stay abreast of emerging BI , Data and AI analytics trends and technologies, continuously improving internal capabilities and offerings. Participate in BI, AI Enabled BI and Analytics aligned solutions and client demos. Who are we looking for Years of Experience: Candidates should typically have at least 6-9 years of experience in BI strategy, management, or a related field. This experience should include hands-on involvement in developing and implementing BI strategies for clients across various industries. Education: A bachelors or masters degree in computer science, Data Science, Engineering, Statistics, or a related field. Add eligibility: Strong analytical and strategic thinking skills are essential for this role. Candidates should be able to assess clients' business processes, technologies, BI, AI and data infrastructure to find opportunities for BI and AI Enabled BI integration and develop tailored BI strategy frameworks aligned with clients' goals. Displayed expertise in artificial intelligence technologies, including machine learning, natural language processing, computer vision, and deep learning. Candidates should have a solid understanding of AI concepts, algorithms, and their applications in solving real-world business problems. Excellent communication and presentation skills are crucial for effectively articulating complex technical concepts to non-technical stakeholders. Candidates should be able to convey AI strategy recommendations in a clear, concise, and compelling manner. Knowledge of cloud computing services (AWS, Azure, GCP) related to scaled AI and data analytics solutions. The ability to collaborate effectively with cross-functional teams is essential for this role. Candidates should be comfortable working with diverse teams to design and execute AI solutions that address clients' business challenges and deliver measurable results. Candidates should have a strong understanding of Gen AI preferences, behaviors, and values. Candidate should have understanding & working knowledge of various large language models to propose and implement best suited LLMs to our customer based on AI strategies that resonate with Gen AI Working experience with machine learning algorithms and statistical modeling techniques. Knowledge on MLOPs tools and services from strategic mindset will be a plus. Desired experience. Minimum 6 years of experience working with clients in the products industry (Lifesciences, CPG, Industry & Ret that are heavily influenced by AI & Gen AI preferences and behaviors, is highly valued. Candidates who have a deep understanding of AI & Gen AI trends and market dynamics can provide valuable insights and strategic guidance to clients. Minimum 5 years proven experience & deep expertise in developing and implementing AI strategy frameworks tailored to the specific needs and aims of clients within LS, Industry, CPG, and Retail sectors. The ability to craft innovative AI solutions that address industry-specific challenges and drive tangible business outcomes will set you apart. Minimum 6 years strong consulting background with a demonstrated ability to lead client engagements from start to completion. Consulting experience should encompass stakeholder management and effective communication to ensure successful project delivery. Minimum 4 years strong working experience AI implementation lifecycle & working knowledge in the AI and Analytics lifecycle, including problem definition, data preparation, model building, validation, deployment, and monitoring. Tools & Techniques Knowledge of UI/UX design using React, Angular & Visualization tools-Power BI/Tableau/Qlik Sense Knowledge on Cloud and native services around AI & GEN AI implementation-AWS/Azure/ GCP Have worked hands on Programming languages such as Python, R, SQL or Scala. Working knowledge AI and analytics platforms and tools, such as TensorFlow, PyTorch, KNIME, or similar technologies Working Knowledge on NLP (Natural Language Processing) techniques-text summarizer, text classification, Named Entity Recognition etc. Working Knowledge on various machine learning models-Supervised unsupervised, classification, regression model, Reinforcement learning, Neural networks etc., Knowledge on LLMs-Open AIGPT, Llama Index etc. Knowledge of ML Ops deployment, process tools & strategy (ML Flow, AWS Sage maker etc. Qualification Experience: Minimum 4 year(s) of experience is required Educational Qualification: B.Tech/BE

Role: AI Agent and GenAI Developer Responsibilities: Build and deploy Gen AI applications using LLMs, prompt engineering, and RAG frameworks. Hands-on with prompt engineering, RAG, LLM fine-tuning, and deployment workflows. Implement AI-driven solutions for analyzing, understanding, and migrating legacy codebases. Utilize AI tools to analyze complex legacy systems, identify business logic, dependencies, and potential risks associated with migration. Integrate APIs like OpenAI, Claude, Azure OpenAI, etc., into products or tools. Develop reusable components for prompt handling, embeddings, vector search, etc. Stay current with AI trends and tools Preferred candidate profile

Dear Candidate, We at TATA Technologies looking for an experienced candidate for Gen AI/ML lead role for Pune location. Please check the below JD, if matches to your profile please share your resume on nikhil.agale@tatatechnologies.com Job Title: Gen AI/ML Lead Total Experince: 6-8 Years Location: Pune Notice Period: Immediate-30 Days Role & responsibilities: Define and lead the Gen AI/ML strategy, aligning with organizational goals. Architect and oversee the development of intelligent chatbots for HR, Finance, and People Supply Chain functions. Lead initiatives to integrate in-context AI capabilities into existing applications to enhance user experience and productivity. Drive the development and deployment of Agentic AI solutions for autonomous and decision-support systems. Mentor and guide the AI/ML team, fostering innovation and collaboration. Collaborate with stakeholders to understand business needs and translate them into AI/ML solutions. Stay updated on the latest advancements in AI/ML to ensure cutting-edge implementations. Qualifications: Bachelors degree in computer science, Artificial Intelligence, Machine Learning, or related field. 6+ years of overall experience in SW development, with at least 3 years in a AI/ML development leadership role. Proven expertise in chatbot development, NLP, and contextual AI technologies. Strong understanding of ML frameworks (TensorFlow, PyTorch) and cloud AI services (AWS, Azure, Google Cloud). Exceptional problem-solving and strategic thinking abilities. Excellent communication and stakeholder management skills. Generative AI, Azure OpenAI Service, Azure Cognitive Search / Azure Search Service Preferred Technical Skills: Vector Database, Embeddings (OpenAI / Azure-based), ChatGPT / GPT-4 / GPT Models, Retrieval-Augmented Generation (RAG), LangChain, RESTful API development, OpenAI API, Prompt Engineering, Azure Machine Learning (Azure ML), Azure DevOps (ADO)Kubernetes / Docker (for AI microservices, Git & CI/CD Pipelines, Experience with cloud-native architecture (preferably in Azure), Experience leading AI engineering teams

Job Description We are seeking a Senior Software Engineer to lead and guide our engineering team in building and enhancing our internal AI Gateway platform. This platform empowers internal organizations to create and deploy AI use cases, integrating with Azure OpenAI, AWS Bedrock, Databricks, and other cloud platforms. You will drive architecture, design, and implementation of scalable data/model management pipelines, agentic AI, RAGs, tracing, and MCP server components. Essential to have hands on Development experience in Python JavaScript, TypeScript, Node JS Essential to have hands on experience in building scalable GenAI applications leveraging LLMs e.g. GPT, Claude, Anthropic using various techniques e.g. RAG, Agentic AI etc. Preferred experience in Developing GenAI Solutions using frameworks e.g. Langchain, LlamaIndex. Preferred experience in building AI pipelines for interaction via Chatbots, User Interface, Autonomous Agents. Must have excellent communication skills to understand complex AI concepts & work with architects to build the solution as well as the ability to explain it to Nontechnical Stakeholders. Preferred experience of deploying solutions on AWS with best, practices. Good to have built capabilities in GenAI backed by evaluation (any existing framework for evaluation or custom built for the specific use case).Contributions to AI research, opensource models or AI hackathons are a plus. Responsib0ilities: Lead the design and development of the AI Gateway platform and its integrations (Azure OpenAI, AWS Bedrock, Databricks, etc.). Architect and implement scalable, secure, and maintainable data/model management pipelines. Guide the team in building agentic AI, RAG (Retrieval-Augmented Generation), tracing, and MCP server solutions. Mentor and upskill team members, conduct code reviews, and enforce best practices. Collaborate with product, DevOps, and data science teams to deliver robust solutions. Drive automation and CI/CD for model and data pipeline deployments. Ensure platform reliability, observability, and security. Requirements: 7+ years of software engineering experience, with at least 2 years in a technical leadership role. Strong Python (FastAPI, asyncio), cloud (Azure, AWS), and data engineering skills. Experience with LLMs, agentic AI, RAGs, and orchestration frameworks. Hands-on with cloud ML services (Azure OpenAI, AWS Bedrock, Databricks). Familiarity with CI/CD, Docker, Kubernetes, and infrastructure-as-code.

We are seeking a Python Developer with a min of 5 years of experience, proficient in Django or Flask, ORM libraries, and SQL/NoSQL databases. Expertise in Git, and familiarity with cloud platforms and machine learning frameworks (e.g., Pandas)

Sr. AI/ML Engineer Years of experience: Lead Material - 5-10 years (with minimum 5 years of relevant experience) Key Skills: Python, Tensorflow, Generative AI ,Machine Learning, AWS , Agentic AI, Open AI, Claude, Fast API Job description: Lead the development and implementation of GenAI solutions leveraging LLMs (e.g., GPT, Claude, LLaMA) and multimodal models. Identify and prioritize use cases across functions such as drug discovery, clinical trial design, medical writing, patient engagement, and knowledge management. Guide the evaluation and fine-tuning of foundation models using Takedas proprietary and third-party data, ensuring compliance with GxP, HIPAA, and AI governance. Architect scalable GenAI pipelines using cloud-native tools and frameworks (e.g., Azure OpenAI, AWS Bedrock, LangChain, Hugging Face, NVIDIA NeMo). Collaborate with data scientists, engineers, compliance, legal, and business leaders to define AI standards, ethics, and responsible AI principles. Lead a cross-functional GenAI team, driving innovation while ensuring security, transparency, and performance of deployed models. Stay current on GenAI trends, open-source ecosystems, and regulatory impacts (e.g., EU AI Act, FDA guidelines). Location: World Trade Center 1st floor of Tower B, 5/142, Rajiv Gandhi Salai, Perungudi, Chennai- 600096 Walkin Date: 26th July 2025 Time: 11:00 am to 3:00pm Contact Recruiter: Anishma Alexen

Key Responsibilities: Design and develop intelligent automation workflows integrated with LLM capabilities (e.g., summarization, classification, Q&A) Integrate LLM APIs such as OpenAI, Azure OpenAI , and Google Gemini into UiPath using REST APIs or native connectors Automate document processing leveraging UiPath tools like Document Understanding and AI Center Participate in code reviews, documentation, and development of reusable components for scalable AI/automation solutions Stay current on LLM innovations, tools, and frameworks, and actively contribute to POCs and hands-on experimentation Required Skills & Qualifications: Bachelor's degree in Computer Science , Engineering , Information Technology , or a related field 35 years of experience in automation development , preferably with UiPath Foundational knowledge of LLMs and prompt engineering , with hands-on application in automation Experience integrating with platforms like OpenAI , Azure AI , or Google Cloud AI via APIs Proficiency in Python and ability to embed Python scripts into RPA workflows Exposure to LangChain or a willingness to learn LLM orchestration frameworks Familiarity with unstructured data processing and document understanding concepts Strong communication, collaboration, and continuous learning mindset

Data Scientist Digital Insights Commercial Excellence – GTM Analytics At Thomson Reuters, we believe in the power of data to drive smarter decisions—and we’re looking for someone who shares that belief. As a Data Scientist – Digital Insights, you’ll join a dynamic team that’s shaping the future of go-to-market strategy through digital analytics, data science, and emerging AI technologies. This opportunity empowers you to work with the latest trends in technology—from web traffic intelligence and data visualization to foundational applications of large language models (LLMs). You’ll play a key role in transforming digital signals into actionable insights that influence business outcomes. We’re proud to be recognized by Great Place to Work® India as one of the country’s top employers, celebrated for our inclusive culture, strong leadership, and commitment to employee growth. Join us and be part of a workplace where innovation and well-being go hand in hand. About the Role: In this role, you will: Analyze web traffic, user behavior, and campaign performance through Google Analytics Tags to generate actionable insights. Collaborate with marketing, product, and analytics teams to define KPIs and reporting frameworks. Build dashboards and visualizations using tools like Tableau or Power BI to communicate insights effectively. Apply basic data science techniques to uncover trends, segment audiences, and support predictive modeling. Stay current with developments in LLMs and generative AI, and explore their application in digital analytics. Present findings to stakeholders using storytelling techniques and data-driven narratives. About You: 1–3 years of experience in digital analytics, data science, or a related field. Proficient in Google Analytics, and web tracking methodologies. Strong SQL and Python skills; experience with data wrangling and exploratory analysis. Familiarity with data visualization tools such as Tableau or Power BI. Exposure to machine learning concepts and basic model building. Understanding of LLMs (e.g., GPT, OpenAI) and prompt engineering is a plus. Experience working with marketing or Go to Market teams is highly desirable. Excellent communication and presentation skills with the ability to simplify complex data. Required Education & Skills: Bachelor’s or Master’s degree in Computer Science, Data Science, Marketing Analytics, or a related quantitative field. Strong organizational and problem-solving skills. Adaptable, collaborative, and eager to learn in a fast-paced environment.