Job Role: AI/ML Engineer
Experience: 7 years
Roles and Responsibilities
- Collaborate with cross-functional teams to design, develop, and deploy scalable software products that incorporate machine learning and AI models.
- Build reusable Python packages to support the implementation of ML/AI algorithms and data-processing pipelines.
- Contribute to the design of AI systems, including components for retrieval-augmented generation (RAG), LLM integration, and agent-based workflows.
- Develop agentic evaluation and monitoring frameworks to assess model reasoning, consistency, and fairness.
- Evaluate database design and create optimized performance queries for efficient data processing and retrieval.
- Break down complex MLE and AI tasks into manageable user and technical stories, ensuring efficient and effective implementation.
- Ensure high-quality test coverage of ML code and participate in peer reviews to provide valuable recommendations.
- Stay updated on the latest advances in machine learning engineering, generative AI, and AI system orchestration, and incorporate relevant practices into our workflows.
- Contribute to continuous delivery and Agile development processes, adhering to best practices in ML and AI engineering.
What Will Make You a Great Fit
- Master’s degree in computer science, software engineering, data science, or a related field (PhD preferred).
- Minimum of 7 years of professional experience designing, developing, and deploying machine learning software products independently and collaboratively.
- Strong programming skills in Python, with experience developing reusable packages and automation tools.
- Familiarity with Databricks for scalable data processing and collaborative analytics.
- Solid understanding of machine learning systems design concepts, including model lifecycle management, MLOps, and scalable inference.
- Hands-on experience with cloud infrastructure (Azure, AWS, or GCP), containerization, and CI/CD pipelines.
- Proficiency with distributed computing frameworks, machine learning packages, and both relational and nonrelational databases.
- Familiarity with generative AI tools and frameworks (e.g., AutoGen, Hugging Face, LangChain, LangGraph, LlamaIndex) and their integration into enterprise pipelines.
- Experience developing or evaluating agentic AI systems, AI orchestration, or AI-assisted decision-making workflows is an asset.
- Excellent problem-solving and analytical skills, with the ability to break down complex tasks into actionable steps.
- Strong communication and collaboration skills, with a track record of working effectively in cross-functional teams.
- Knowledge or experience in the utility, power, or energy sectors is a plus.
- Deep knowledge in Databricks tech stack for AI and data engineering is a plus.
Job Type: Contractual / Temporary
Contract length: 12 months
Pay: ₹80,000.00 - ₹100,000.00 per month
Work Location: Remote
