Senior Staff Engineer (MLOps)

Gurugram, India

Nagarro

A digital product engineering leader, Nagarro drives technology-led business breakthroughs for industry leaders and challengers through agility and innovation.

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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 (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:

  • Experience: 8+ years
  • Senior MLOps Engineer will design, implement, and maintain end-to-end machine learning operational pipelines on Google Cloud Platform (GCP) and will collaborate with data scientists, software engineers, and DevOps teams to deploy and manage ML models at scale.
  • Key responsibilities include creating scalable MLOps pipelines, automating model deployment, implementing CI/CD workflows, developing monitoring solutions, and optimizing model performance using GCP services like AI Platform, Vertex AI, and TensorFlow Serving.
  • Qualifications include experience in software engineering, ML, or MLOps, proficiency in GCP services, strong Python skills, expertise in ML frameworks, and experience with CI/CD tools and essential skills include Vertex AI, Databricks AI, Python, SQL, BigQueryML, and AutoML.
  • Strong troubleshooting skills in different disparate technologies and environments.
  • Enthusiastic about different areas of work and exploring new technologies.
  • Clarity of thought and strong communication skills to effectively pitch solutions.
  • Ability to explore and grasp new technologies.
  • Mentoring your team members in projects and helping them keep up with new technologies.
  • Empowering the team members to be solution providers and enable a flat environment where everyone’s point of view is considered, and feedback is encouraged.

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 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.

Additional Information

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Architecture CI/CD Computer Science Databricks DevOps Engineering GCP Google Cloud Machine Learning ML models MLOps Model deployment Pipelines Privacy Python Security SQL TensorFlow Vertex AI

Region: Asia/Pacific
Country: India

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