Design, develop, deploy, and monitor AI and machine learning solutions, including predictive models, NLP applications, generative AI, LLMs, RAG systems, copilots, and chatbots. Build ML pipelines, APIs, microservices, and enterprise integrations using cloud and MLOps practices. Responsibilities include model evaluation, performance monitoring, responsible AI governance, scalability, security, and collaboration with data, engineering, and business stakeholders.
Key ResponsibilitiesAI & Machine Learning Development
Responsibilities- Design, develop, and deploy AI/ML models for business use cases.
- Build and optimize machine learning pipelines from data preparation to model deployment.
- Develop predictive, classification, recommendation, and NLP solutions.
- Fine-tune and evaluate foundation models and LLMs.
- Design and implement Generative AI applications using LLMs.
- Develop Retrieval-Augmented Generation (RAG) solutions.
- Create prompt engineering frameworks and reusable AI workflows.
- Integrate AI copilots, chatbots, and virtual assistants into enterprise platforms.
- Implement AI governance, monitoring, and responsible AI practices.
- Collaborate with Data Engineers and Data Scientists to prepare training datasets.
- Develop APIs and microservices for AI model consumption.
- Integrate AI services with enterprise systems and cloud platforms.
- Deploy AI solutions using MLOps best practices.
- Monitor model performance, accuracy, drift, and reliability.
- Ensure scalability, security, and compliance requirements are met.
Required Technical SkillsAI / ML Technologies
Qualifications- Machine Learning Algorithms
- Deep Learning
- Natural Language Processing (NLP)
- Generative AI
- Large Language Models (LLMs)
- Prompt Engineering
- Vector Databases
- Python (Mandatory)
- SQL
- Optional: Java, JavaScript, or Scala
- TensorFlow
- PyTorch
- Scikit-learn
- LangChain
- LlamaIndex
- Hugging Face Transformers
- OpenAI APIs / Azure OpenAI
- Pinecone
- Weaviate
- ChromaDB
- FAISS
- Azure AI Services / Azure OpenAI
- AWS Bedrock / SageMaker
- Google Vertex AI
- MLflow
- Docker
- Kubernetes
- CI/CD Pipelines
- SQL Server
- PostgreSQL
- MongoDB
- Cosmos DB
- Strong analytical and problem-solving skills.
- Excellent communication and stakeholder management.
- Ability to translate business problems into AI-driven solutions.
- Experience working in Agile/Scrum environments.
- Strong collaboration with cross-functional teams.
- Experience building enterprise AI assistants and chatbots.
- Hands-on experience with RAG architectures and vector search.
- Knowledge of Responsible AI, AI Safety, and AI Governance.
- Exposure to Agentic AI frameworks and autonomous AI workflows.
- Experience with Retail, E-commerce, BFSI, Healthcare, or Supply Chain domains.
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- Microsoft Azure AI Engineer Associate (AI-102)
- Microsoft Azure Data Scientist Associate (DP-100)
- AWS Machine Learning Specialty
- Google Professional Machine Learning Engineer
- TensorFlow Developer Certificate
- Artificial Intelligence
- Generative AI
- Machine Learning
- Prompt Engineering
- LLM Development
- NLP
- RAG Architecture
- MLOps
- Data Analytics
- Innovation & Problem Solving
Required Technical SkillsAI / ML Technologies
About UsAt Zensar, we’re “experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: One Zensar, Nurturing, Empowering, and Client Focus.- Machine Learning Algorithms
- Deep Learning
- Natural Language Processing (NLP)
- Generative AI
- Large Language Models (LLMs)
- Prompt Engineering
- Vector Databases
- Python (Mandatory)
- SQL
- Optional: Java, JavaScript, or Scala
- TensorFlow
- PyTorch
- Scikit-learn
- LangChain
- LlamaIndex
- Hugging Face Transformers
- OpenAI APIs / Azure OpenAI
- Pinecone
- Weaviate
- ChromaDB
- FAISS
- Azure AI Services / Azure OpenAI
- AWS Bedrock / SageMaker
- Google Vertex AI
- MLflow
- Docker
- Kubernetes
- CI/CD Pipelines
- SQL Server
- PostgreSQL
- MongoDB
- Cosmos DB
- Strong analytical and problem-solving skills.
- Excellent communication and stakeholder management.
- Ability to translate business problems into AI-driven solutions.
- Experience working in Agile/Scrum environments.
- Strong collaboration with cross-functional teams.
- Experience building enterprise AI assistants and chatbots.
- Hands-on experience with RAG architectures and vector search.
- Knowledge of Responsible AI, AI Safety, and AI Governance.
- Exposure to Agentic AI frameworks and autonomous AI workflows.
- Experience with Retail, E-commerce, BFSI, Healthcare, or Supply Chain domains.
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- Microsoft Azure AI Engineer Associate (AI-102)
- Microsoft Azure Data Scientist Associate (DP-100)
- AWS Machine Learning Specialty
- Google Professional Machine Learning Engineer
- TensorFlow Developer Certificate
- Artificial Intelligence
- Generative AI
- Machine Learning
- Prompt Engineering
- LLM Development
- NLP
- RAG Architecture
- MLOps
- Data Analytics
- Innovation & Problem Solving
Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. Explore Life at Zensar and join us to Grow. Own. Achieve. Learn. to be the best version of yourself.
We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.
Zensar Technologies Chennai, Tamil Nadu, IND Office
1A, 9/1A, 2nd Floor, MGR Main Road, Kodandarama Nagar, Perungudi, Chennai, Tamil Nadu, India, 600096
Similar Jobs
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Designs and deploys production AI assistants, copilots, agents, RAG systems, and intelligent automations. Integrates LLMs with Snowflake, AWS, enterprise applications, and workflow platforms to automate business processes. Builds backend services and serverless workflows, implements observability and responsible AI controls, and scales validated prototypes into reliable production solutions. Partners with technical and business teams to improve decision-making, efficiency, quality, and cost performance.
Top Skills:
AirflowAmazon Api GatewayAmazon BedrockAmazon EventbridgeAmazon S3Amazon SagemakerAnthropicAws LambdaAws Step FunctionsAzure OpenaiDbtGeminiGoMcpMicrosoft Power AutomateMlflowN8NOauthOpenaiPythonRbacSalesforceServicenowSnowflakeSnowflake Cortex SearchSnowflake Ml RegistrySnowparkSsoTypescriptUipathWeights & BiasesWorkato
Artificial Intelligence • Consumer Web • Digital Media • Information Technology • Social Impact • Software
Build and own evaluation infrastructure, observability tooling, datasets, annotation workflows, and diagnostic systems for production AI agents. Lead experiments across prompts, models, routing, caching, cost, and latency. Diagnose failures across planning, tool use, and agent execution, while partnering with AI Core engineering. Manage and grow the AI Quality team as a hands-on player-coach, contributing directly to production code and technical direction.
Top Skills:
Ai AgentsAnnotation WorkflowsBraintrustCachingCi/CdEvaluation FrameworksLangsmithLlmsModel RoutingObservability ToolingPythonRuby On Rails
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Build, train, evaluate, and deploy machine learning and LLM-based safety models, guardrails, and content moderation systems. Develop evaluation frameworks, adversarial testing, and low-latency inference solutions for high-throughput production workloads. Research defenses against jailbreaks, prompt injection, data leakage, and harmful content. Support AI governance, compliance, audit logging, and watermarking. Collaborate across engineering, product, legal, and trust teams while mentoring engineers.
Top Skills:
SparkAWSDockerGCPGoGraph-Based Entity SystemsJavaKafkaKinesisKotlinKubernetesLlmsLookerLoraMicrostrategyNlpPeftPrompt EngineeringPythonR-ShinySap BusinessobjectsSQLTableauTensorrt-LlmTransformer ArchitecturesTriton Inference ServerVllm
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
