onsite
AI/ML Engineer - Mindinventory
ML Engineer
AI/ML Engineer with 3+ years building production‑grade AI applications, fine‑tuning LLMs, and implementing RAG, vector search, and multi‑agent systems using Python, PyTorch/TensorFlow, Docker, and Kubernetes.
About the role
Key Responsibilities
- Design, develop, and deploy AI/ML services that integrate Large Language Models, Retrieval‑Augmented Generation, and multi‑agent architectures.
- Fine‑tune domain‑specific LLMs and implement vector‑search pipelines and knowledge‑graph integrations for real‑time inference.
- Containerize applications with Docker and orchestrate scalable deployments on Kubernetes and cloud‑native platforms.
- Implement observability, monitoring, and evaluation frameworks to ensure model performance and reliability in production.
- Collaborate with cross‑functional teams to translate business requirements into robust AI solutions.
Requirements
- 3+ years of hands‑on experience in AI‑based application development.
- Proficiency in Python and its data‑science stack (NumPy, Pandas, Scikit‑learn) plus deep‑learning frameworks such as PyTorch or TensorFlow.
- Demonstrated experience fine‑tuning LLMs and building RAG or multi‑agent systems.
- Strong knowledge of Docker, Kubernetes, and cloud‑native deployment patterns.
- Familiarity with vector search technologies, knowledge graphs, and AI observability tools; open‑source contributions or research publications are a plus.
Skills
pythonpytorchtensorflowdockerkubernetes