We are looking for a highly skilled AI/ML Engineer with strong expertise in the Azure ecosystem (Databricks, Data Lake, Data Factory, Synapse), along with hands-on experience in Generative AI (LLMs, RAG, agent frameworks). The role requires solid knowledge of Python, ML/DL frameworks, and modern orchestration tools to build scalable AI-driven solutions.
What You’ll Do
This position is ideal for a driven engineer passionate about building AI-powered systems, scalable data platforms, and impactful ML/GenAI products.
- Design, develop, and deploy end-to-end ML/GenAI workflows on Azure Databricks and broader Azure cloud ecosystem (Data Lake, Data Factory, Synapse).
- Apply Generative AI techniques including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic frameworks.
- Build intelligent agent workflows using MCP (Model Context Protocol) and ADK (Agent Development Kit).
- Implement advanced orchestration and observability pipelines with LangChain, LangGraph, LangSmith, and related frameworks.
- Leverage Python, NumPy, Pandas, and ML libraries for data engineering, analysis, and model training.
- Perform Exploratory Data Analysis (EDA), feature engineering, time-series forecasting, and Neural Architecture Search (NAS).
- Develop, train, and optimize ML models (regression, classification, forecasting) and deep learning models with PyTorch and TensorFlow.
- Deploy models into production with MLOps best practices, CI/CD pipelines, and GPU-enabled workflows.
Collaboration & Continuous Improvement
- Collaborate with cross-functional teams to integrate AI/ML models into production systems.
- Follow best practices in clean code, software design patterns, and OOP principles for scalable solutions.
- Optimize performance, address bottlenecks, and ensure security best practices when handling sensitive data.
- Use Git/version control for collaboration and maintain strong documentation.
- Write unit tests and integration tests to ensure reliability of deployed solutions.
What You Know
- 4+ experience with Azure Databricks and broader Azure ecosystem (Data Lake, Data Factory, Synapse).
- Hands-on with Generative AI (LLMs, RAG, agentic frameworks, tool use).
- Experience with MCP (Model Context Protocol) and ADK (Agent Development Kit).
- Proficiency with LangChain, LangGraph, LangSmith for orchestration and observability.
- Strong Python programming skills with NumPy, Pandas, ML libraries.
- Experience in EDA, feature engineering, forecasting, NAS.
- Good knowledge of ML model development and deep learning frameworks (PyTorch, TensorFlow).
- Familiarity with MLOps, CI/CD pipelines, model serving, and GPU-enabled workflows.
- Strong problem-solving, analytical, and debugging skills.
Education
- Bachelor’s degree in Computer Science, Software Engineering, AI/ML, Data Science, or related field.
Benefits
In addition to competitive salaries and benefits packages, Nisum offers its employees unique perks:
- Health Benefits: Comprehensive medical coverage, life insurance.
- Work-Life Balance: Paid leave for medical, family, pilgrimage, and personal needs.
- Incentives & Rewards: Financial rewards, loans, extra salary, car financing, and savings programs.
- Development & Training: Structured training, study sponsorships, international trips, and appreciation programs.
- Corporate Appliances: Laptop, internet device, and accessories.
- Office Facilities: Gym, gaming room, free lunches, and a vibrant work environment.
