Senior Staff Engineer, Machine Learning

Summary

Join Nagarro, a Digital Product Engineering company, as a highly experienced Machine Learning expert with 10+ years of experience. You will leverage your expertise in NLP, machine vision, and AI to deliver impactful solutions. Responsibilities include designing and developing robust ML pipelines, integrating with digital marketing platforms, and collaborating with cross-functional teams. You will need proficiency in Python, deep learning frameworks, and generative AI. A strong understanding of statistical concepts and MLOps is crucial. The ideal candidate possesses excellent communication skills and experience with cloud platforms like AWS, GCP, or Azure.

Requirements

• Total experience 10+years
• Strong working experience in machine learning, with a proven track record of delivering impactful solutions in NLP, machine vision, and AI
• Proficiency in programming languages such as Python or R, and experience with data manipulation libraries (e.g., Pandas, NumPy)
• Strong understanding of statistical concepts and techniques, and experience applying them to real-world problems
• Strong programming skills in Python, and proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX, as well as machine learning libraries such as scikit-learn
• Proficient experience with Generative AI frameworks such as GANs, VAEs, prompt engineering, and retrieval-augmented generation (RAG), and the ability to apply them to real-world problems
• Exposure to graph-based models, knowledge graphs, and related query languages
• Hands-on skills in data engineering and building robust ML pipelines
• Experience in MLOps & DevOps
• Experience with personalization engines and digital marketing platform integrations
• Hands on working experience in AWS/GCP/Azure
• Excellent communication skills and the ability to collaborate effectively with cross-functional teams
• Bachelor’s or master’s degree in computer science, Information Technology, or a related field

Responsibilities

• Writing and reviewing great quality code
• 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 clients’ 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