- Company Name
- Nisum
- Job Title
- Machine Learning & Generative AI Engineer (2-5 years of experience only required)
- Job Description
-
**Job Title:** Machine Learning & Generative AI Engineer
**Role Summary**
Design, deploy, and optimize ML and GenAI systems end-to-end, with a focus on Azure Databricks, RAG, agentic AI, and scalable enterprise AI solutions.
**Expectations**
- 2–5 years of experience in ML/GenAI systems development.
- Proficiency in Azure cloud ecosystem and Databricks platform.
- Strong hands-on experience with GenAI (LLMs, RAG, agentic frameworks) and modern ML workflows.
**Key Responsibilities**
- Develop and optimize ML and GenAI pipelines on Azure Databricks.
- Build RAG systems, agentic AI workflows, and large-scale model training/inference pipelines.
- Implement feature engineering, EDA, and NAS experiments to enhance model performance.
- Deploy and monitor ML models (regression, classification, forecasting) using Scikit-learn, XGBoost, PyTorch, TensorFlow.
- Integrate GenAI solutions with business workflows via collaboration with cross-functional teams.
**Required Skills**
- Azure Databricks, Azure cloud services (Data Lake, Data Factory, Synapse).
- Generative AI: LLMs, RAG, agentic systems, tool use.
- Programming: Python, NumPy, Pandas, ML libraries.
- Frameworks: LangChain, LangGraph, LangSmith, LangChain for orchestration.
- Model development: Regression, classification, forecasting, deep learning.
- MLOps: CI/CD, model serving, observability, GPU workflows.
- Technologies: Vector databases, embeddings, semantic search, model optimization.
**Required Education & Certifications**
- Bachelor’s degree in a relevant field.
- No specific certifications required.