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Nisum Consulting Pvt. Ltd
AI / Machine Learning Engineer
Nisum Consulting Pvt. Ltd
Hyderabad•On-site•5-8 Yrs•2 hours ago
Job description
Overview
As a Machine Learning Engineer at the company, your role will involve leading end-to-end model design, development, and productionization across AI/ML and Generative AI.
Responsibilities
- Lead end-to-end model design, development, and productionization across AI/ML and Generative AI.
- Architect robust ML/GenAI pipelines on Azure Databricks and enterprise cloud platforms.
- Drive modeling problem-solving independently, including EDA, feature engineering, algorithm selection, and model optimization.
- Build and deploy advanced, scalable AI workflows and agent-based frameworks.
- Ensure production readiness by overseeing scalable deployment, monitoring, and observability of ML models/agents.
- Mentor junior engineers and collaborate with cross-functional partners.
- Lead end-to-end model design, development, and productionization across AI/ML and Generative AI.
- Architect robust ML/GenAI pipelines on Azure Databricks and enterprise cloud platforms.
- Drive modeling problem-solving independently, including EDA, feature engineering, algorithm selection, and model optimization.
- Build and deploy advanced, scalable AI workflows and agent-based frameworks.
- Ensure production readiness by overseeing scalable deployment, monitoring, and observability of ML models/agents.
- Mentor junior engineers and collaborate with cross-functional partners.
Qualifications
- 5+ years of experience in machine learning roles with a proven track record of hands-on model-building and solving real-world modeling challenges independently.
- Advanced proficiency in Python, Scikit-learn, PyTorch/TensorFlow, MLOps, CICD, and model serving.
- Deep expertise in Azure Databricks and core Azure ML/data.
- Strong hands-on experience with Generative AI, agentic frameworks, and other relevant orchestration tools.
- Direct exposure to deploying and maintaining ML/GenAI systems in enterprise production environments.
- Familiarity with vector databases, embedding techniques, semantic search, and GPU-accelerated workflows.
- Demonstrated ability to design, implement, and optimize ML/GenAI models from scratch.
- 5+ years of experience in machine learning roles with a proven track record of hands-on model-building and solving real-world modeling challenges independently.
- Advanced proficiency in Python, Scikit-learn, PyTorch/TensorFlow, MLOps, CICD, and model serving.
- Deep expertise in Azure Databricks and core Azure ML/data.
- Strong hands-on experience with Generative AI, agentic frameworks, and other relevant orchestration tools.
- Direct exposure to deploying and maintaining ML/GenAI systems in enterprise production environments.
- Familiarity with vector databases, embedding