Principal Engineer, Machine Learning at Nagarro

, , India -

Full Time

Start Date

Immediate

Expiry Date

14 Jan, 26

Salary

0.0

Posted On

16 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, NLP, Machine Vision, AI Architecture, Cloud Infrastructure, Python, R, Data Manipulation, Deep Learning, TensorFlow, PyTorch, SQL, MLOps, Generative AI, AI Ethics, Problem Solving

Industry

IT Services and IT Consulting

Description

Company Description 👋🏼We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in! Job Description REQUIREMENTS: Total experience: 15+ Years Strong working experience in machine learning, with a proven track record of delivering impactful solutions in NLP, machine vision, and AI. Must have strong experience as an architect to design and orchestrate scalable AI architecture for automotive use cases in the areas of aftersales, supply chain, connected vehicles, manufacturing, in-vehicle experience, and intelligent OEM operations. Must have experience working directly with clients in a geographically diverse and matrix environments. Must have experience in AI/ML architecture design and implementation in data / big data using cloud infrastructure. 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. Should have experience in SQL. Should have understanding of MLOps and at least one deployment using some of the following technologies: MLflow, Kubeflow, Docker, Kubernetes, model deployment pipelines. Should have designed, developed, and deployed a few AI agents as part of multi-agent systems for autonomous/semi-autonomous decision-making and agent orchestration. Strong understanding of LLMs and foundation models with an expertise in designing and building prompts for prompt development and templates. Practical 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. Excellent problem-solving skills, with a creative and analytical mindset. Strong communication and teamwork skills, with the ability to work effectively in a team environment and interact with stakeholders at all levels. Experience with AI ethics and responsible AI practices 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. Qualifications Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

Responsibilities

The Principal Engineer will understand client business use cases and convert them into technical designs. They will also define guidelines for non-functional requirements and review architecture and design aspects to ensure best practices are followed.