Specialist Associate Principal Engineer, Machine Learning

Nagarro Inc; India; On-site; INR 2,000,000 - 3,000,000; Full time

Job summary

Nagarro Inc in India is searching for an Associate Principal Engineer in Machine Learning. The ideal candidate will have over 9 years of experience and strong skills in machine learning, AI architecture, and programming (Python). You will be designing impactful solutions and collaborating with teams to meet client requirements.

This role entails leading advanced projects and contributing to innovation. Join us to shape cutting-edge technologies in a dynamic work environment.

Qualifications

• 9+ years of experience in machine learning with impactful solutions.
• Proficiency in programming languages such as Python or R.
• Strong understanding of statistical concepts and techniques.

Responsibilities

• Understand client’s business use cases and convert them to technical design.
• Identify best solutions to meet client requirements.
• Write and review design documents explaining overall architecture.

Skills

Machine Learning

Natural Language Processing (NLP)

Cloud Infrastructure

Python

Deep Learning Frameworks (TensorFlow, PyTorch)

SQL

MLOps

Generative AI Frameworks (GANs, VAEs)

Problem-Solving Skills

Education

Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field

Tools

Pandas

NumPy

MLflow

Kubeflow

Docker

Kubernetes

Job description

Associate Principal Engineer, Machine Learning

• Full-time
• Service Region: South Asia

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!

Requirements

• Total experience: 9+ Years
• Strong working experience in machine learning, with a proven track record of delivering impactful solutions in NLP, machine vision, and AI.
• 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.

Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

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