Experience:

- 4-10 years (with prior experience in Data Engineering or MLE roles)
- F2F- 11th July (one day process)

Core Skills:

- Strong programming skills in Python
- Hands-on experience with ETL / Data Pipelines
- Experience with ML/DL frameworks: TensorFlow, PyTorch, Scikit-learn
- Experience in Prompt Engineering and working with LLMs
- Familiarity with LLM frameworks: LangChain, LlamaIndex, Hugging Face
- Cloud experience: Azure / AWS / GCP
- Experience with MLOps tools: MLflow, Kubeflow, Airflow
- Strong experience in API development & Model Deployment

Preferred Skills:

- Experience with RAG architectures and vector databases
- Knowledge of real-time/streaming data pipelines
- Exposure to scalable system design and microservices architecture

Key Traits:

- Strong problem-solving and analytical thinking
- Ability to work in fast-paced environments
- Valuable stakeholder communication and ownership mindset
- Passion for AI/GenAI advancements

Preferred candidate profile " F2F all round -11th July (All round in same day )

Perks and benefits

📌 Data Scientist (Karnataka)
🏢 EPAM Systems
📍 Karnataka