Senior Machine Learning Engineer (1) + Junior Machine Learning Engineers (2)

About the Role

We are seeking one Senior and two Junior Machine Learning Engineers to help build and operationalize AI-driven automation systems in a cloud environment. This team will work collaboratively with Data Scientists, Product, and Engineering teams to develop scalable AI solutions, LLM-based automation agents, and cloud-based pipelines.

Important: This role focuses on engineering, integration, and deployment — not model research or custom model development.

Key Responsibilities

• Design, build, and maintain cloud-based AI and automation solutions using Python and Azure services.
• Develop, integrate, and optimize workflows that leverage Large Language Models (LLMs), vector databases, prompt pipelines, and related tooling.
• Collaborate with Data Scientists to productionize their models and prototypes.
• Build robust, scalable REST APIs, microservices, and automation agents.
• Implement monitoring, observability, model versioning, and MLOps best practices.
• Write well-structured, maintainable, and testable code.

Requirements

For Senior ML Engineer

• 5+ years professional software engineering experience.
• Strong Python development and debugging skills.
• Hands-on experience building solutions in Azure (e.g., Azure ML, Functions, Storage, AKS, DevOps).
• Experience integrating and working with LLMs (OpenAI, Azure OpenAI, HuggingFace, LangChain, or similar).
• Experience with MLOps, deployment automation, CI/CD, and containerized applications (Docker/Kubernetes).
• Ability to lead architecture decisions, code reviews, and mentor junior engineers.
• Excellent communication and collaboration skills.

For Junior ML Engineers

• 1–3 years experience in software engineering, data engineering, or ML workflow integration.
• Proficiency in Python and familiarity with ML/AI tooling.
• Understanding of cloud environments (Azure preferred; AWS/GCP acceptable).
• Exposure to LLM-based application development, automation systems, or data pipelines is a plus.
• Eagerness to learn, contribute, and grow under the mentorship of senior team members.

Nice to Have (All Roles)

• Experience with LangChain, Semantic Kernel, or similar orchestration frameworks.
• Familiarity with vector databases (Pinecone, Weaviate, ChromaDB, etc.).
• Knowledge of automation frameworks or agent-based architectures.
• Experience supporting scalable production AI systems.