Machine Learning Engineer
Gurgaon · Mid Level
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First 72 hours
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Skills required
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Job description
- Design and deploy LLM-powered agent systems using frameworks like LangGraph, AutoGen, or LangChain
- Build AI pipelines integrating structured data, APIs, and external sources
- Implement RAG architectures for knowledge-driven applications
- Deploy models using:
- Docker
- Kubernetes
- FastAPI
- AWS / GCP
- Build scalable ML pipelines
- Implement model monitoring and performance tracking
- Convert business problems into AI-driven solutions
- Build decision-support tools powered by ML models
- Work closely with leadership to implement AI-first workflows
- Strong experience with Python
- Machine learning frameworks:
- PyTorch
- Scikit-learn
- LightGBM / XGBoost
- Experience building time-series forecasting models
- Experience building applications with:
- LangChain
- LangGraph
- AutoGen
- Experience with RAG architectures
- Familiarity with open-source models such as:
- LLaMA
- Mistral
- Mixtral
- SQL and data modeling
- ETL pipeline development
- Web scraping and API integrations
- Docker
- Cloud platforms (AWS/GCP/Azure)
- CI/CD pipelines
- Experience with agentic AI systems
- Vector databases (Pinecone, Weaviate, FAISS)
- Experience with price optimization systems
- Experience building data products or internal AI tools
- 3–5 years of experience in ML/AI engineering
- Strong programming and system design skills
- Experience shipping AI systems to production
- Ability to translate business problems into AI solutions
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