Nagarro

Principal Engineer, Machine Learning

Nagarro

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇮🇳 India

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Job Level

Lead

Tech Stack

CloudDockerKubernetesNumpyPandasPythonPyTorchScikit-LearnSQLTensorflow

About the role

  • 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.

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 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
Benefits
  • Professional development opportunities
  • Flexible working hours

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
machine learningnatural language processingmachine visionAI architecture designPythonRdeep learningTensorFlowPyTorchSQL
Soft skills
problem-solvinganalytical mindsetcommunicationteamworkstakeholder interaction