Associate Principal Engineer, Machine Learning

Work set-up: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Bachelor’s or master’s degree in computer science, Information Technology, or related fields., 11+ years of experience in machine learning and AI solutions., Proficiency in Python or R, with experience in data manipulation libraries like Pandas and NumPy., Strong understanding of statistical concepts, deep learning frameworks (TensorFlow, PyTorch), and MLOps tools..

Key responsibilities:

  • Developing and reviewing high-quality code for machine learning solutions.
  • Understanding client requirements and translating them into technical designs.
  • Mapping technical decisions to client needs and selecting optimal solutions.
  • Designing and reviewing system architecture, ensuring best practices in scalability, security, and performance.

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Nagarro XLarge https://www.nagarro.com
10001 Employees
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Job description

Company Description

👋🏼Were 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 nonhierarchical. We are looking for great new colleagues. Thats 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.
  • 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 realworld problems.
  • Strong working experience in AWS.
  • 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 scikitlearn.
  • Familiarity with MLOps tools such as MLflow, Kubeflow, Airflow.
  • Proficient experience with Generative AI frameworks such as GANs, VAEs, prompt engineering, and retrievalaugmented generation (RAG), and the ability to apply them to realworld problems.
  • Handson skills in data engineering and building robust ML pipelines.
  • Excellent communication skills and the ability to collaborate effectively with crossfunctional teams.
    • RESPONSIBILITIES:

      • Writing and reviewing great quality code.
      • 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 clients’ requirements.
          • Defining guidelines and benchmarks for NFR considerations during project implementation
          • Writing and reviewing design document explaining overall architecture, framework, and highlevel 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 nonfunctional 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 codereview, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken.
          • Carrying out POCs to make sure that suggested designtechnologies meet the requirements.
            • Qualifications

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

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration
  • Communication

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