ML Engineer

griddynamics

Hyderabad 3 Years Exp Posted 222d ago

Job Description

Essential functions

  • Design, develop, and implement LLM-based applications, with a focus on AI Agents, conversational systems, and intelligent decision-making pipelines.

  • Develop and optimize prompts and prompt orchestration frameworks tailored to specific use cases.

  • Implement vector search and retrieval-augmented generation (RAG) pipelines to improve model output relevance.

  • Collaborate with product and data teams to translate business requirements into scalable AI-driven solutions.

  • Deploy, optimize, and monitor AI applications in cloud environments (Azure, GCP, or AWS).

  • Stay updated with advancements in LLMs, NLP, and generative AI technologies, incorporating best practices into projects.

  • Contribute to code reviews, technical discussions, and knowledge sharing within the team.

Qualifications

  • Looking for minimum 3+ years of experience.
    Strong programming skills in Python (object-oriented programming, scripting, APIs, and libraries).

  • Proven experience in building LLM-based applications and/or AI Agents.

  • Proficiency in prompt engineering and evaluation techniques.

  • Hands-on expertise with vector search technologies (e.g., FAISS, Pinecone, Weaviate, or equivalent).

  • Experience deploying applications on at least one major cloud provider (Azure, GCP, or AWS).

Would be a plus

  • Background in Data Science or Machine Learning Engineering, with experience in NLP techniques.

  • Prior experience with Microsoft Azure AI and Cognitive Services, including deployment and scaling.

  • Familiarity with MLOps practices, CI/CD for machine learning models, and monitoring tools.

  • Knowledge of transformer architectures and model fine-tuning.

We offer

  • Opportunity to work on bleeding-edge projects
  • Work with a highly motivated and dedicated team
  • Competitive salary
  • Flexible schedule
  • Benefits package - medical insurance, sports
  • Corporate social events
  • Professional development opportunities
  • Well-equipped office

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