Job highlights

- Experience working in Agile / Scrum environments. . Strong collaboration with cross-functional teams.

- Experience with Retail,E-commerce,BFSI,Healthcare,or Supply Chain domains. .

Educational

Qualification . Bachelors or Masters degree in Computer Science,Artificial Intelligence,Data Science,or a related field.

- Preferred Qualifications .

Key Responsibilities AI &

- Machine Learning Development

- 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.

Generative AI Solutions

- 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.

Data Engineering &

- Integration

- 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.

Model Deployment &

- Monitoring

- Deploy AI solutions using MLOps best practices.

- Monitor model performance, accuracy, drift, and reliability.

- Ensure scalability, security, and compliance requirements are met.

Required Technical Skills AI / ML Technologies

- Machine Learning Algorithms

- Deep Learning

- Natural Language Processing (NLP)

- Generative AI

- Large Language Models (LLMs)

- Prompt Engineering

- Vector Databases

Programming Languages

- Python (Mandatory)

- SQL

- Optional: Java, JavaScript, or Scala

AI Frameworks &

- Libraries

- TensorFlow

- PyTorch

- Scikit-learn

- LangChain

- LlamaIndex

- Hugging Face Transformers

- OpenAI APIs / Azure OpenAI

Vector Databases

- Pinecone

- Weaviate

- ChromaDB

- FAISS

Cloud &

- MLOps





- Azure AI Services / Azure OpenAI

- AWS Bedrock / SageMaker

- Google Vertex AI

- MLflow

- Docker

- Kubernetes

- CI/CD Pipelines

Database Technologies

- SQL Server

- PostgreSQL

- MongoDB

- Cosmos DB

Leadership &

- Soft Skills

- 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.

- Solid collaboration with cross-functional teams.

Preferred Qualifications

- 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.

Educational Qualification

- Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

Preferred Certifications

- 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

Key Competencies

- Artificial Intelligence

- Generative AI

- Machine Learning

- Prompt Engineering

- LLM Development

- NLP

- RAG Architecture

- MLOps

- Data Analytics

- Innovation &
- Problem Solving

Required Technical Skills AI / ML Technologies

- Machine Learning Algorithms

- Deep Learning

- Natural Language Processing (NLP)

- Generative AI

- Large Language Models (LLMs)

- Prompt Engineering

- Vector Databases

Programming Languages





- Python (Mandatory)

- SQL

- Optional: Java, JavaScript, or Scala

AI Frameworks &

- Libraries

- TensorFlow

- PyTorch

- Scikit-learn

- LangChain

- LlamaIndex

- Hugging Face Transformers

- OpenAI APIs / Azure OpenAI

Vector Databases

- Pinecone

- Weaviate

- ChromaDB

- FAISS

Cloud &

- MLOps

- Azure AI Services / Azure OpenAI

- AWS Bedrock / SageMaker

- Google Vertex AI

- MLflow

- Docker

- Kubernetes

- CI/CD Pipelines

Database Technologies

- SQL Server

- PostgreSQL

- MongoDB

- Cosmos DB

Leadership &

- Soft Skills

- 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.

Preferred Qualifications

- 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.

Educational Qualification

- Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

Preferred Certifications

- 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

Key Competencies

- Artificial Intelligence

- Generative AI

- Machine Learning

- Prompt Engineering

- LLM Development

- NLP

- RAG Architecture

- MLOps

- Data Analytics

- Innovation &
- Problem Solving

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 AI Engineer (Bengaluru)
🏢 Zensar
📍 Bengaluru