Engineer – ML OPs

If you desire to be part of something special, to be part of a winning team, to be part of a fun team – winning is fun.  We are looking forward to a Engineer – Ml Ops based in Pune, India. In Eaton, making our work exciting, engaging, meaningful; ensuring safety, health, wellness; and being a model of inclusion & diversity are already embedded in who we are – it’s in our values, part of our vision, and our clearly defined aspirational goals.  This exciting role offers opportunity to:

• 4+ years of experience in a relvant and comparable role in the software industry, with a proven track record of success.
• Proficient in Python and Linux environments to support model training, analysis and prediction pipelines for our advanced analytics services.
• Experienced in designing and building highly distributed and scalable Analytics/Data Science/Machine Learning pipeplines hosted in major public and/or private cloud providers such as Azure, AWS or Google Cloud.
• Proficient in developing and maintaining AI & ML DevSecOps pipelines to support Model training and prediction requirements.
• Experience with Docker & Docker orchestration technologies (e.g. Kubernetes (K8S), Docker compose).
• Ability to develop Machine learning and validation pipelines in a secure and enterprise grade environment.
• Strong problem solving and software debugging skills with a track record of delivery and a willingness to roll up sleeves to get the job done.
• Excellent verbal and written communication skills including the ability to effectively explain technical concepts.

Requirement:-

• Masters or equivalent degree in computer science or comparable software engineering discipline.
• Experience in deployment of Infrastructure-as-Code using Terraform.
• Proficiency with cloud technologies (IaaS, PaaS, serverless technology) micro-service design, CI/CD and DevOps technologies.
• Experience in deploying AI/ML models in large scale production projects with modern light-weight design (API, Microservices etc.)
• Exposure to ML frameworks and libraries such as TensorFlow, Keras, Pytorch and Kubeflow.
• Exposure in big data orchestration frameworks such as Apache Airflow.
• Knowledgeable in leveraging data transit protocols and technologies (AMQP, MQTT, Rest API, JDBC, etc).
• Knowledge of multiple cloud and edge technologies, especially Microsoft Azure e.g. Databricks, Azure IoT Edge.
• Knowledge of cloud development platforms such as Azure or AWS and their associated data storage options.
• Experience in integrating Artifact repositries (eg JFrog Artifactory) into CI/CD pipeline to manage and control access to binary dependencies
• Experience with Agile development methodologies and concepts.
• Keeps abreast of upcoming software development/engineering tools, trends, and methodologies.
• Good judgment, time management, and decision-making skills.

Location:-

• Pune, Maharashtra.

Company Overview:-

Eaton’s mission is to improve the quality of life and the environment through the use of power management technologies and services. We provide sustainable solutions that help our customers effectively manage electrical, hydraulic, and mechanical power – more safely, more efficiently, and more reliably. Eaton’s 2020 revenues were $17.9 billion, and we sell products to customers in more than 175 countries.