Mlops Engineer

Year    Bangalore, Karnataka, India

Job Description


At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. Job Overview TE Connectivity\'s Application Development Teams are responsible for writing required application specifications and using programming various languages and development tools to design, build, test, implement, and support web and desktop applications. Roles & Responsibilities Understand current state architecture, including pain points. Create and document future state architectural options to address specific issues or initiatives using Machine Learning. Innovate and scale architectural best practices around building and operating ML workloads by collaborating with stakeholders across the organization. Develop CI/CD & ML pipelines that help to achieve end-to-end ML model development lifecycle from data preparation and feature engineering to model deployment and retraining. Provide recommendations around security, cost, performance, reliability, and operational efficiency and implement them. Provide thought leadership around the use of industry standard tools and models (including commercially available models and tools) by leveraging experience and current industry trends. Collaborate with the Enterprise Architect, consulting partners and client IT team as warranted to establish and implement strategic initiatives. Make recommendations and assess proposals for optimization. Experience Required 1+ years of experience in developing CI/CD & ML pipelines for end-to-end ML model/workloads development. Strong knowledge in ML operations and DevOps workflows and tools such as Git, AWS CodeBuild & CodePipeline, Jenkins, AWS CloudFormation, and others. Background in ML algorithm development, AI/ML Platforms, Deep Learning, ML Operations in the cloud environment. Strong programming skillset with high proficiency in Python, R, etc. Strong knowledge of AWS cloud and its technologies such as S3, Redshift, Athena, Glue, SageMaker etc. Working knowledge of databases, data warehouses, data preparation and integration tools, along with big data parallel processing layers such as Apache Spark or Hadoop. Ability to collaborate with Data scientist, Data Engineers, Leaders, and other IT teams. Competencies Values: Integrity, Accountability, Teamwork, Innovation ABOUT TE CONNECTIVITY TE Connectivity is a global technology leader enabling a secure, sustainable, productive, and connected future. Our broad range of connectivity and sensor solutions have been proven in the most demanding environments, enabling advancements in transportation, industrial applications, medical technology, energy technology, data communications, and for the home. With approximately 85,000 employees, including more than 8,000 engineers, we work with customers in nearly 140 countries. TE ensures that EVERY CONNECTION COUNTS. Learn more at www.te.com and on LinkedIn, Facebook, WeChat and Twitter. WHAT TE CONNECTIVITY OFFERS We are pleased to offer you an exciting total package that can also be flexibly adapted to changing life situations - the well-being of our employees is our top priority! Competitive Salary Package Performance-Based Bonus Plans Health and Wellness Incentives Employee Stock Purchase Program Community Outreach Programs / Charity Events Employee Resource Group Across our global sites and business units, we put together packages of benefits that are either supported by TE itself or provided by external service providers. In principle, the benefits offered can vary from site to site.

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Job Detail

  • Job Id
    JD3124426
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Bangalore, Karnataka, India
  • Education
    Not mentioned
  • Experience
    Year