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Nagarro

Associate Principal Engineer, Machine Learning

Nagarro

Associate Principal Engineer specializing in Machine Learning at Nagarro, designing impactful AI solutions across diverse applications. Focused on client requirements and technical architecture to deliver innovative outcomes.

Posted 6/27/2026full-timeRemote • 🇮🇳 IndiaJuniorMid-LevelWebsite

Tech Stack

Tools & technologies
CloudDockerKubernetesNumpyPandasPythonPyTorchScikit-LearnSQLTensorflow

About the role

Key responsibilities & impact
  • Understanding the client’s business use cases and technical requirements
  • Converting business requirements into technical design
  • Mapping decisions with requirements
  • Identifying different solutions and narrowing down best options
  • Defining guidelines and benchmarks for NFR considerations during implementation
  • Writing and reviewing design documents
  • Reviewing architecture and design on various aspects like extensibility, scalability, security, etc.
  • Developing and designing overall solution for defined functional and non-functional requirements
  • Understanding and relating technology integration scenarios
  • Resolving issues raised during code/review
  • Carrying out POCs to ensure suggested design/technologies meet requirements

Requirements

What you’ll need
  • 9+ Years of experience in machine learning
  • Strong working experience in NLP, machine vision, and AI
  • Experience in AI/ML architecture design and implementation in data / big data using cloud infrastructure
  • Proficiency in programming languages such as Python or R
  • Experience with data manipulation libraries (e.g., Pandas, NumPy)
  • Strong understanding of statistical concepts and techniques
  • Strong programming skills in Python
  • Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX
  • Experience with machine learning libraries such as scikit-learn
  • Experience in SQL
  • Understanding of MLOps
  • Experience with deployment technologies: MLflow, Kubeflow, Docker, Kubernetes
  • Experience designing and deploying AI agents for multi-agent systems
  • Strong understanding of LLMs
  • Practical experience with Generative AI frameworks such as GANs, VAEs, prompt engineering
  • Excellent problem-solving skills
  • Strong communication and teamwork skills
  • Experience with AI ethics and responsible AI practices

Benefits

Comp & perks
  • Employees can work remotely

ATS Keywords

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Hard Skills & Tools
machine learningnatural language processingmachine visionAI architecture designPythonRdeep learningSQLMLOpsGenerative AI
Soft Skills
problem-solvingcommunicationteamwork