Specialist ML/ML Ops Engineer - GCP (BLR, Chennai, Pune, MUMBAI)

Google Cloud Platform (GCP) experience is a must

Were looking for a Specialist  MLOps Engineering (GCP) who is experienced in designing and implementing ML applications at scale in production for our ML Engineering team.

"Let's discuss comprehensively if you are considering a career move.

Job Title: Specialist  MLOps Engineering (GCP)

YOE: 6+ Years

Hiring Locations: Chennai/Bangalore/Pune/Mumbai

Location: Hybrid Model (3 Days office and 2 Days WFH)

Job Summary:

Were looking for a few ML/MLOps Engineering Specialists - GCP who are experienced in designing and implementing ML applications at scale in production for our ML Engineering team. The team is a cross-functional team and has ML Engineers and Software Engineers, and closely works with data scientists and data engineers in designing, building, and operationalizing AI/ML models.

Roles and Responsibilities:
 As an ML Engineering Specialist, you will be a key stakeholder and responsible for designing and architecting. end-to-end ML solutions.
 Operationalize ML models, NLP, Computer Vision, and other types of models.
 End-to-end model lifecycle management, starting from feature extraction to monitoring machine learning models using high-end tools and technologies.
 Design & implementation of DevOps principles in Machine Learning
 Model quality assurance, governance, and monitoring
 Integrate models as part of business applications via APIs.
 Execute best practices in version control and continuous integration/delivery.
 Collaborate with data scientists, engineers, and other key stakeholders.
 Work well in a fast-paced cross-functional environment

Mandatory Skills/Requirements:
 Experience in implementing machine learning life cycle one of Vertex AI along with other GCP services.
 Experience with Machine learning frameworks, libraries, and agile environments.
 Experience implementing GCP AI services in business applications.
 Experience with various model deployment strategies
 Experience with Python and SQL is a must. Understanding distributed frameworks such as Spark, Dask, Ray, etc. is a plus.
 Experience with version control tools such as Git, Bitbucket, etc.
 Knowledge of Docker, Jenkins, Kubernetes, and other DevOps tools.
 Knowledge of Infra-as-a-Code via ARM or Terraform templates.
 Familiarity with Large Language Models and Operationalization of foundation models on cloud platforms will be a plus.
 Outstanding analytical and problem-solving skills,