Description

You will build and deploy ML/AI models and AI-powered features.

Responsibilities

• Fine-tune, evaluate, and optimize models, including LLMs.
• Develop inference pipelines and integrate models into backend services.
• Implement RAG pipelines, embeddings, and vector search.
• Work with data engineers to prepare training and evaluation datasets.
• Monitor model performance, drift, and reliability in production.

Required Skills

• 3+ years of experience in software engineering or ML engineering.
• Strong Python skills (PyTorch, TensorFlow, or similar).
• Experience deploying ML models to production environments.
• Experience working with APIs, microservices, and cloud platforms.
• Understanding of ML fundamentals (training, evaluation, feature engineering).
• Familiarity with SQL and basic data engineering concepts.

Preferred Skills

• Experience with LLMs, prompt engineering, RAG, and vector databases.
• Experience with MLOps, CI/CD, monitoring, and model versioning.

Key Skills

Education

Any Gradute