MLOps Engineer

Job description

We are looking for an experienced

MLOps Engineer

to join our team in Bengaluru. The ideal candidate will design, implement, and manage robust MLOps pipelines, enabling seamless deployment and monitoring of machine learning models. This role offers the opportunity to work on cutting-edge AI solutions and drive efficiency in ML workflows.

Job Title : MLOps Engineer

Location :

Bengaluru / Coimbatore / Mumbai / Gurugram

Experience : 4+ years of hands-on experience in deploying and monitoring machine learning models.

Basic understanding of ML and data science / modeling aspects.

Experience with open-source tools for MLOps, such as Kubernetes, Docker, and Apache Airflow and developing and streamlining workflows, building scalable pipelines, etc.

Ensuring successful model development, testing, optimization, scaling, monitoring / observability, and governance

Continuous integration and continuous deployment (CI / CD)

Proficiency in cloud platforms, especially Azure and / or AWS.

Strong scripting skills (e.g., Python) for automation and tool development.

Problem-Solving : o Strong problem-solving skills with a focus on finding efficient and scalable solutions. o Ability to learn new tools on the go and developing best practices is mandatory.

Qualifications

Bachelor’s / Master’s degree in Computer Science, Data Science, Statistics, or a related field.