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▷ [Apply in 3 Minutes] Machine Learning Engineer

▷ [Apply in 3 Minutes] Machine Learning Engineer

EXLIndia
22 hours ago
Job description

Key Responsibilities :

  • Design and implement modular, reusable AI agents capable of autonomous decision-making using LLMs, APIs, and tools like LangChain, AutoGen, or Semantic Kernel.
  • Engineer prompt strategies for task-specific agent workflows (e.g., document classification, summarization, labeling, sentiment detection).
  • Integrate ML models (NLP, CV, RL) into agent behavior pipelines to support inference, learning, and feedback loops.
  • Contribute to multi-agent orchestration logic including task delegation, tool selection, message passing, and memory / state management.
  • Collaborate with MLOps, data engineering, and product teams to deploy agents at scale in production environments.
  • Develop and maintain agent evaluations, unit tests, and automated quality checks for reliability and interpretability.
  • Monitor and refine agent performance using logging, observability tools, and feedback signals.

Required Qualifications :

  • Bachelor’s or Master’s in Computer Science, AI / ML, Data Science, or related field.
  • 3+ years of experience in developing AI / ML systems; 1+ year in agent-based architectures or LLM-enabled automation.
  • Proficiency in Python and ML libraries (PyTorch, TensorFlow, scikit-learn).
  • Experience with LLM frameworks (LangChain, AutoGen, OpenAI, Anthropic, Hugging Face Transformers).
  • Strong grasp of NLP, prompt engineering, reinforcement learning, and decision systems.
  • Knowledge of cloud environments (AWS, Azure, GCP) and CI / CD for AI systems.

    • Preferred Skills :

  • Familiarity with multi-agent frameworks and agent orchestration design patterns.
  • Experience in building autonomous AI applications for data governance, annotation, or knowledge extraction.
  • Background in human-in-the-loop systems, active learning, or interactive AI workflows.
  • Understanding of vector databases (e.g., FAISS, Pinecone) and semantic search.

    • Why Join Us :

  • Work at the forefront of AI orchestration and intelligent agents.
  • Collaborate with a high-performing team driving innovation in enterprise AI platforms.
  • Opportunity to shape the future of AI-based automation in real-world domains like healthcare, finance, and unstructured data.
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    Machine Learning Engineer • India