AI / ML Engineer

Were looking for a powerhouseAI/ML Engineerto turn cutting-edge research into production-ready reality. You won't just be building prototypes; youll be designing, deploying, and scaling GenAI systems that solve real business problems. If you live at the intersection of robust software engineering and advanced machine learning, lets talk.

Technical Expertise

GenAI & Orchestration:Expert-level development usingLang ChainandLang Graph; specialized in multi-stepRAG, agentic workflows, and tool-augmented chains.

NLP & Text Processing:Mastery of document parsing, chunking strategies, embeddings, and retrieval optimization.

Core Engineering:AdvancedPython(NumPy, Pandas, scikit-learn, PyTorch/TensorFlow) and backend service development usingFastAPI.

Vector Infrastructure:Proven experience building and maintaining pipelines withFAISS,AWS Open Search, or similar vector databases.

Cloud Ecosystems (Mandatory):High proficiency in eitherAWS(SageMaker, Lambda, ECS, Step Functions) orAzure(Azure OpenAI, Functions, App Services).

MLOps & DevOps:Strong grasp of the ML lifecyclemonitoring, versioning (MLflow), and CI/CD pipelines (Jenkins, GitHub Actions).

How Youll Make an Impact

• Design & Own:Lead end-to-end ML/GenAI workflows, from data ingestion and preprocessing to deployment and inference.
• Build Production Systems:Architect robust GenAI systems including API design, data pipelines, and scalable monitoring.
• Optimize Everything:Continuously evaluate and refine prompts, chains, and agents to improve accuracy while balancinglatency and cost efficiency.
• Collaborate & Integrate:Partner with cross-functional teams to weave AI capabilities into dynamic applications for seamless user experiences.
• Ensure Excellence:Write high-quality, testable code and conduct rigorous unit/integration testing to ensure system reliability.
• Diagnose & Scale:Resolve complex performance and reliability issues across diverse environments.

What You Bring

• Experience:4+ years of professional experience as an AI, ML, or Software Engineer, specifically buildingproduction-gradeapplications.
• Education:Bachelors degree in Computer Science, Information Technology, or Software Engineering.
• Engineering Rigor:A strong software background with experience in version control (Git) and Agile development.
• Problem Solving:A sharp analytical mind with the communication skills to align technical solutions with business goals.