Senior DevOps Engineer

5 days ago


Singapur, Singapore TE Connectivity Full time
Job Title: Senior DevOps Engineer

At TE Connectivity, we are seeking a highly skilled Senior DevOps Engineer to join our team. As a Senior DevOps Engineer, you will play a critical role in designing, building, and operating our cloud infrastructure to support the development and deployment of machine learning models.

Job Responsibilities:
  • Design and implement scalable cloud infrastructure to support machine learning workloads
  • Develop and maintain CI/CD pipelines to automate the deployment of machine learning models
  • Collaborate with data scientists to deploy data science models to our cloud platform using ML and AWS technologies such as SageMaker
  • Orchestrate all processes related to data cleaning, preprocessing, data management, auditing, logging, monitoring, security, etc.
  • Provide recommendations around security, cost, performance, reliability, and operational efficiency to accelerate projects
Requirements:
  • B.S or Master's in computer science, AI with 12+ years equivalent experience
  • 5+ years of experience in developing CI/CD & ML pipelines for end-to-end ML model/workloads Productionization
  • 10+ years of experience in software development/devop's role
  • Strong knowledge in ML operations and DevOps workflows and tools such as Git, AWS Code Build & Code Pipeline, Jenkins, AWS CloudFormation, and others
  • Strong knowledge of AWS cloud and its technologies such as S3, Redshift, Athena, Glue, SageMaker etc.
  • Strong proficiency with containerization and orchestration technologies (Docker, Kubernetes, etc.)
  • Strong programming skillset with high proficiency in Python, R, etc.
  • Background in ML algorithm development, AI/ML Platforms, Deep Learning, ML Operations in the cloud environment
  • Knowledge of LLM ops is preferable and or should be willing to learn quickly
  • Working knowledge of databases, data warehouses, data preparation and integration tools, along with big data parallel processing layers such as Apache Spark or Hadoop
  • Knowledge of pure and applied math, ML and DL frameworks, and ML techniques, such as random forest and neural networks
  • Ability to collaborate with Data scientist, Data Engineers, Leaders, and other IT teams
  • Ability to work with multiple projects and work streams at one time. Must be able to deliver results based upon project deadlines.
  • Willing to flex daily work schedule to allow for time-zone differences for global team communications
  • Strong interpersonal and communication skills

We Value

  • Strong problem-solving capabilities. Results oriented. Relies on fact-based logic for decision-making.
  • Time management skills - Ability to manage multiple projects and designs at once with changing requirements during the intake process
  • Experience working in an Agile environment
  • Ability to work in a fast paced, resource constrained environment to deliver value to business.
  • Certification in LLM ops or ML ops is preferred.


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