Machine Learning Engineer

5 days ago


Pune, Maharashtra, India LTIMindtree Full time

About the Role

We are seeking an experienced Machine Learning Engineer to join our team at LTIMindtree. As a key member of our engineering team, you will be responsible for designing, developing, and deploying complex language model applications using LangChain's advanced features.

Responsibilities

  1. Develop and optimize prompts for specific tasks using prompt engineering techniques.
  2. Work with vector databases and embedding techniques to improve model performance.
  3. Design and deploy complex language model applications using LangChain's/llamaindex advanced features.
  4. Implement Agentic Workflow Frameworks for efficient task automation.
  5. Evaluate quantitative metrics of models, including context window and pricing.
  6. Select the most suitable model for a given GenAI problem statement.
  7. Analyze and utilize Knowledge Graphs for informed decision-making.
  8. Apply RAG contextualization for improved use case effectiveness.
  9. Fine-tune RAG metrics for optimal performance.
  10. Compare vector DBs and determine the best fit for the project.
  11. Compare LLM Models and select the most suitable option.
  12. Demonstrate basic understanding of GenAI ethics, including bias and misinformation.
  13. Mitigate bias in GenAI models through awareness and implementation of best practices.
  14. Understand and adhere to responsible data usage and privacy guidelines.
  15. Index code from other repositories within the Pair Programming Tool.
  16. Customize code output according to specific coding conventions and best practices.
  17. Add extensions to the Pair Programming tool, such as the Github Copilot Extension.
  18. Minimum 2+ years of relevant experience in GenAI.

Requirements

  • Strong background in machine learning and artificial intelligence.
  • Proficiency in programming languages, including Python and Java.
  • Familiarity with vector databases and embedding techniques.
  • Experience with LangChain's/llamaindex advanced features.
  • Understanding of Agentic Workflow Frameworks.
  • Knowledge of quantitative metrics for models.
  • Ability to work effectively in a team environment.

What We Offer

  • A competitive salary range: $150,000 - $200,000 per annum.
  • A dynamic and collaborative work environment.


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