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 Valuable 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 (Mumbai)
🏢 Tekskills
📍 Mumbai