Staff Engineer, Machine Learning (Generative AI & NLP)

11 Hours ago • 7 Years + • Artificial Intelligence

About the job

Job Description

Nagarro seeks a Staff Engineer, Machine Learning (Generative AI & NLP) with 7+ years of experience. Responsibilities include writing high-quality code, understanding client needs, designing solutions, defining architecture, reviewing code and designs, conducting POCs, and resolving issues. The role requires strong expertise in Machine Learning, Generative AI, NLP, LLMs, ChatGPT, prompt engineering, data modeling, and various ML frameworks (Keras, PyTorch, TensorFlow). Experience with cloud platforms (AWS or Azure), big data technologies, and data visualization tools is essential. The position involves collaborating with teams, communicating technical details effectively, and ensuring alignment with client requirements and best practices.
Must have:
  • 7+ years experience in ML, Generative AI & NLP
  • Building recommendation systems
  • LLMs & Generative AI application development & deployment
  • Proficiency in Python, Keras, PyTorch, TensorFlow
  • Experience with AWS or Azure ML tools
Good to have:
  • Experience with Hadoop, Spark
  • Video Analytics knowledge
  • Google BigQuery, Kubernetes expertise

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, and our people exist everywhere in the world (18000+ experts across 36 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 7+ Years 
  • Strong expertise in Machine Learning, Generative AI fundamentals, and NLP fundamentals.
  • Proven experience in building recommendation systems.
  • Experience in developing and deploying applications with Large Language Models (LLMs) and Generative AI.
  • Strong experience in ChatGPT, Generative AI, Prompt engineering & Data modelling.
  • Hands on experience in NLTK, Machine Vision, Natural Language processing, Data Pipeline.
  • Good knowledge in Video Analytics, Cloud architecture, Google BigQuery, Kubernetes.
  • Experience with cloud-based ML tools on AWS or Azure (e.g., Amazon SageMaker, Azure Machine Learning) and TensorRT/TFLite
  • Proficiency in machine learning frameworks such as Keras, PyTorch, TensorFlow, and libraries like scikit-learn, pandas, and OpenCV.
  • Expertise in data visualization using tools and libraries such as Matplotlib, Seaborn, or Plotly to effectively communicate insights.
  • In-depth knowledge of mathematics, probability, statistics, and algorithms.
  • Solid understanding of data structures, data modeling, and software architecture.
  • Proficiency in Python, with the ability to write robust and maintainable code.
  • Familiarity with big data technologies like Hadoop, Spark, and distributed storage systems for large-scale data handling and parallel processing
  • Strong analytical and problem-solving skills with the ability to work independently and in collaborative teams.
  • Excellent communication skills to articulate technical concepts and results effectively.

RESPONSIBILITIES:

  • Writing and reviewing great quality code
  • Understanding the client’s business use cases and technical requirements and be able to convert them in to 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.

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