Principal Engineer, Machine Learning

Posted Yesterday
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Hiring Remotely in IN
Remote
Expert/Leader
Artificial Intelligence • Information Technology • Machine Learning • Software • Virtual Reality • Analytics
The Role
Lead design and delivery of ML solutions across NLP, vision, and generative AI. Convert business needs into architecture and designs, guide developers, run POCs, ensure scalability, security, MLOps, and responsible AI best practices, and build/deploy AI agents and LLM-based systems.
Summary Generated by Built In
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: 11+ 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.

Qualifications

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

Skills Required

  • Total experience: 11+ years
  • Proven experience delivering ML solutions in NLP, computer vision, and AI
  • Experience in AI/ML architecture design and implementation in data/big data using cloud infrastructure
  • Proficiency in Python or R and experience with Pandas and NumPy
  • Strong understanding of statistical concepts and applying them to real-world problems
  • Proficiency with deep learning frameworks (TensorFlow, PyTorch, or JAX) and scikit-learn
  • Experience with SQL
  • Understanding of MLOps and experience with deployments using MLflow, Kubeflow, Docker, Kubernetes, or model deployment pipelines
  • Experience designing, developing, and deploying AI agents and multi-agent systems
  • Strong understanding of LLMs and foundation models; expertise in prompt design and templates
  • Practical experience with generative AI frameworks (GANs, VAEs), prompt engineering, and retrieval-augmented generation (RAG)
  • Experience with AI ethics and responsible AI practices
  • Bachelor's or Master's degree in Computer Science, Information Technology, or a related field
  • Strong communication, teamwork, and problem-solving skills

Nagarro Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Nagarro and has not been reviewed or approved by Nagarro.

  • Pay Growth & Progression Compensation is at times described as competitive, with salary hikes and perks occurring on certain occasions. Better growth opportunities and compensation are also positioned as an advantage versus other service-based companies.
  • Flexible Benefits Work arrangements are framed around a “work-from-anywhere” mindset with flexitime and family-friendly working models. This flexibility appears to add meaningful value to the overall rewards package for many roles.
  • Healthcare Strength Medical, dental, and vision coverage are described as available for employees and dependents, alongside life insurance. Mental-health support is also included via an Employee Assistance Program (EAP).

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The Company
HQ: Munich
19,994 Employees
Year Founded: 1996

What We Do

Nagarro helps future-proof your business through a forward-thinking, fluidic, and CARING mindset. We excel at digital engineering and help our clients become human-centric, digital-first organizations, augmenting their ability to be responsive, efficient, intimate, creative, and sustainable. Today, we are 19,000 experts across 36 countries, forming a Nation of Nagarrians, ready to help our customers succeed.

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