Associate Principal Machine Learning Engineer

Summary

Join Nagarro, a Digital Product Engineering company, as a senior data scientist with 11+ years of experience. You will leverage your expertise in Python, Azure, and machine learning to design and develop AI solutions. Responsibilities include understanding client needs, designing solutions, and collaborating with developers. You will need proficiency in deep learning frameworks, MLOps, and strong communication skills. Leadership and mentorship abilities are essential. A Bachelor's or Master's degree in a related field is required.

Requirements

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

Responsibilities

• Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements
• Mapping decisions with requirements and be able to translate the same to developers
• Identifying different solutions and being able to narrow down the best option that meets the client’s requirements
• Defining guidelines and benchmarks for NFR considerations during project implementation
• Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers
• Reviewing 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
• Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it
• Understanding and relating technology integration scenarios and applying these learnings in projects
• Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken
• Carrying out POCs to make sure that suggested design/technologies meet the requirements