Senior MLOps Engineer

2 days ago

Bengaluru, Karnataka, India Wenger & Watson Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Role & responsibilities

As MLOps Engineer, you will work collaboratively with Data Scientists and Data engineers to

deploy and operate advanced analytics machine learning models. Youll help automate and

streamline Model development and Model operations. Youll build and maintain tools for

deployment, monitoring, and operations. Youll also troubleshoot and resolve issues in

development, testing, and production environments.

  • Enable Model tracking, model experimentation, Model automation
  • Develop scalable ML pipelines
  • Develop MLOps components in Machine learning development life cycle using

Model Repository (either of): MLFlow, Kubeflow Model Registry

Machine Learning Services (either of): Kubeflow, DataRobot,

HopsWorks, Dataiku or any relevant ML E2E PaaS/SaaS

  • Work across all phases of Model development life cycle to build MLOPS components
  • Build the knowledge base required to deliver increasingly complex MLOPS projects on

the Cloud(AWS, Azure, GCP)/On Prem

  • Be an integral part of client business development and delivery engagements across

multiple domains

Preferred candidate profile

6-12 years experience building production-quality software

  • Strong experience in System Integration, Application Development or Data-

Warehouse projects across technologies used in the enterprise space

  • Basic Knowledge of MLOps, machine learning and docker
  • Object-oriented languages (e.g. Python, PySpark, Java, C#, C++ )
  • Experience developing CI/CD components for production ready ML pipeline.
  • Database programming using any flavors of SQL

  • Knowledge of Git for Source code management

  • Ability to collaborate effectively with highly technical resources in a fast-paced

environment

  • Ability to solve complex challenges/problems and rapidly deliver innovative solutions
  • Team handling, problem solving, project management and communication skills &

creative thinking

  • Foundational Knowledge of Cloud Computing either one AWS, Azure or GCP
  • Hunger and passion for learning new skills

EDUCATION:

B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent

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