Role & responsibilities

AI ENGINEER (GENERATIVE AI)

Location: Pune / Bangalore

Experience: 4+ Years

Work Mode: Hybrid

Shift: General Shift

Mandatory Skills:

- Generative AI (GenAI)

- Python

- SQL

- Machine Learning and Deep Learning

- NLP and Predictive Analytics

- TensorFlow / PyTorch / Scikit-learn

- Hugging Face and LangChain

- LLMs and RAG Architecture

Positive to Have:

- AI Copilots and Semantic Kernel

- MLOps, CI/CD and Model Deployment

- Docker and Kubernetes

- Azure ML / AWS SageMaker

- Apache Spark, Databricks and Microsoft Fabric

- Knowledge Graphs

Key Responsibilities:

- Design, develop and deploy enterprise-scale AI/ML solutions.

- Build Generative AI applications using LLMs and RAG.

- Develop end-to-end AI pipelines using Python and SQL.

- Integrate AI models into enterprise applications.

- Implement model deployment, monitoring and MLOps practices.

- Collaborate with stakeholders to deliver business-driven AI solutions.

📌 AI Engineer (Generative AI) (Bengaluru)
🏢 Tekskills
📍 Bengaluru