Associate Principal Machine Learning Engineer

Logo of Nagarro

Nagarro

📍Remote - India

Job highlights

Summary

Join Nagarro, a rapidly growing Digital Product Engineering company, as a highly experienced data scientist with 11+ years of experience. You will leverage your expertise in Python, Azure, and machine learning to design and implement innovative solutions for clients. Your responsibilities will include understanding client needs, designing solutions, guiding developers, and ensuring adherence to best practices. You will need strong skills in various machine learning frameworks and a deep understanding of MLOps. Proven leadership, communication, and client interaction skills are essential for success in this role.

Requirements

  • Have 11+ years of experience
  • Possess strong expertise in Python and data science on Azure
  • Have extensive experience in machine learning solution design, including NLP, machine vision, and AI
  • Be proficient in deep learning frameworks such as TensorFlow, PyTorch, or JAX, and machine learning libraries such as scikit-learn
  • Have practical experience with Generative AI frameworks such as GANs, VAEs, prompt engineering, and retrieval-augmented generation (RAG)
  • Have a strong understanding of MLOps principles and tools, with experience in CI/CD pipelines, model monitoring, and automated deployment
  • Possess excellent communication and collaboration skills
  • Have proven leadership and mentorship abilities
  • Possess strong client interaction and technical consulting skills
  • Have a Bachelor’s or master’s degree in computer science, Information Technology, or a related field

Responsibilities

  • Understand the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements
  • Map decisions with requirements and be able to translate the same to developers
  • Identify different solutions and be able to narrow down the best option that meets the client’s requirements
  • Define guidelines and benchmarks for NFR considerations during project implementation
  • Write and review design document explaining overall architecture, framework, and high-level design of the application for the developers
  • Review architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed
  • Develop and design the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it
  • Understand and relate technology integration scenarios and apply these learnings in projects
  • Resolve issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and be able to justify the decision taken
  • Carry out POCs to make sure that suggested design/technologies meet the requirements

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