Associate Principal Engineer, Data Science

Summary

Join Nagarro, a Digital Product Engineering company, as a highly experienced Data Scientist with 11+ years of experience. You will be responsible for designing and developing data solutions, leveraging your expertise in machine learning, optimization, and NLP. Strong Python and cloud computing skills are essential, along with experience in MLOps and Generative AI. You will collaborate with business and technical teams, ensuring solutions meet client requirements and adhere to best practices. The role involves writing high-quality code, reviewing designs, and conducting POCs. A Bachelor's or Master's degree in a related field is required.

Requirements

• Total experience 11+ years
• Hands on working experience in data science with a focus on predictive modeling and optimization
• Strong experience with Python (and/or R) and libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch
• Strong knowledge of Cloud Architecture and deployment of data solutions in cloud ecosystems (e.g., AWS, Azure, GCP)
• Proven expertise in machine learning, mathematical optimization (e.g., LP, IP, genetic algorithms, RL), and NLP techniques
• Familiarity with Generative AI fundamentals and hands-on experience with RAG, LangChain, LlamaIndex, and prompt engineering
• Strong understanding of MLOps principles and tools for CI/CD, monitoring, and model lifecycle management
• Experience in Reinforcement Learning, Ant Colony Optimization, or other advanced AI methodologies
• Familiarity with containerization tools (e.g., Docker, Kubernetes) for model deployment
• Hands-on experience with version control, MLflow, or similar experiment tracking tools
• Strong interpersonal and communication skills to interact with business and technical teams effectively
• 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 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