Machine Learning Engineer

5 - 9 years

2 - 6 Lacs

Posted:9 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

What you will do
In this vital role as a Machine Learning Engineer, you will contribute to the development and maintenance of our GEN AI web applications across various Process Development functions(Drug Substance, Drug Product, Attribute Sciences & Combination Products) in Operations.
This role is ideal for recent graduates or early-career professionals looking to gain hands-on experience in software development.
Roles & Responsibilities:
  • Implement, and optimize LLM-powered models for document processing, data extraction, and application Insights
  • Develop and optimize retrieval-augmented generation (RAG) pipelines to improve query processing and information retrieval
  • Work with large-scale structured and unstructured data to ensure efficient indexing, retrieval, and contextual relevance
  • Collaborate with the design and product teams to understand user needs and translate them into technical requirements.
  • Write clean, efficient, and well-tested code.
  • Participate in code reviews and provide constructive feedback.
  • Maintain system uptime and optimal performance
  • Learn and adapt to new technologies and industry trends like Prompt Engineering, AI tools and Retrieval-augmented generation (RAG) frameworks
Basic Qualifications:
Master's degree / Bachelor's degree and 5 to 9 years
Preferred Qualifications:
Functional Skills:
  • Proficiency in Python and data manipulation libraries (Pandas, NumPy, etc.)
  • Familiarity with machine learning workflows and common ML libraries (scikit-learn, PyTorch, TensorFlow)
  • Working knowledge of cloud environments (AWS, Azure, or Google Cloud Platform)
  • Experience with popular large language models like OPEN AI
  • Experience with language models and frameworks like Langchain or llamaIndex
  • Proficiency with prompt engineering, model fine tuning
  • Familiarity with DevOps CICD build and deployment pipeline
  • Experience with design patterns, data structures, test-driven development.
Professional Certifications:
  • AWS, Data Science Certifications(preferred)
Soft Skills:
  • Excellent analytical and troubleshooting skills.
  • Strong verbal and written communication skills.
  • Ability to work effectively with global, virtual teams.
  • High degree of initiative and self-motivation.
  • Ability to manage multiple priorities successfully.
  • Team-oriented, with a focus on achieving team goals.
  • Strong presentation and public speaking skills.

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