Senior Staff Engineer

5 months ago

Gurugram, India Nagarro Full time

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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