Senior Staff Machine Learning Engineer

Summary

Join Nagarro, a rapidly growing Digital Product Engineering company, as a senior-level data scientist. You will leverage your extensive experience in Python, machine learning, and cloud technologies to design and develop innovative solutions for our clients. This role requires a strong understanding of AI, including ChatGPT and Generative AI, as well as experience with various data processing and visualization tools. You will be responsible for mentoring team members, ensuring high-quality code, and contributing to a collaborative and flat work environment. The ideal candidate possesses strong communication and problem-solving skills and a passion for exploring new technologies.

Requirements

• Total experience 10+ years
• Extensive experience in Python for Data Science, Machine Learning Fundamentals, Data Analysis & Visualization, SQL
• Hands on Experience in ChatGPT, Generative AI, Prompt engineering & Data modelling
• Good working experience in NLTK, Machine Vision, Natural Language processing, Data Pipeline
• Strong experience in Video Analytics, Cloud architecture, Google BigQuery, Kubernetes
• Strong experience in Cloud development & Machine Learning Solution Design
• Hands on experience in Machine Learning on AWS/Azure
• Experience on TensorRT/TFLite
• Strong troubleshooting skills in different disparate technologies and environments
• Should be enthusiastic about different areas of work and exploring new technologies
• Should have clarity of thought and strong communication skills to effectively pitch solutions
• Must have ability to explore and grasp new technologies
• Must be capable of mentoring team members in projects and helping them keep up with new technologies
• Should be empowering the team members to be solution providers and enable a flat environment where everyone’s point of view is considered, and feedback is encouraged
• 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 in to 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