AI / ML Engineer

Requirements :

• 2-6 years of experience in AI / ML development with a focus on large language models (LLMs).
• Proficiency with Pydantic for data validation and LangChain frameworks for AI workflow orchestration.
• Strong Python programming skills, with experience using ML libraries such as PyTorch or TensorFlow.
• Familiarity with model deployment, monitoring, and cloud environments (AWS preferred, including SageMaker, EC2, S3).
• Experience working with databases for ML workflows such as PostgreSQL, Redis, or specialized vector databases (e.g., Pinecone, Weaviate).
• Ability to participate in architectural discussions involving AI model integration, scalable infrastructure design, and data pipeline optimization.
• Top-notch communication skills, both written and verbal.
• Ability to collaborate effectively across multidisciplinary teams.

Responsibilities :