Lead Engineer, Machine Learning Ops (India)

Our AiML engineering team ensures Code and Theory delivers innovative, immersive web experiences that delight our clients and their customers. We are always striving to balance the demanding nature of working on cuttingedge technologies with the realworld demands of high performance, high security, and accessibility. Working in collaboration with our multidisciplinary engineering, design, and quality assurance teams, you will build software that solves realworld problems for incredible clients.

We are seeking an experienced Lead ML+DevOps Engineer. The ideal candidate will have strong expertise in cloud deployment, containerization, and related technologies, and will play a crucial role in the scalability and reliability of our AIML infrastructure. You’ll be in a highvisibility role, working with all sorts of clients both internally and externally to deliver scalable, precise, and – most importantly – interesting machine learning solutions. Our work stretches from audience segmentation to dynamic content generation, from spellchecking to large language modeling and beyond.

WHAT YOU’LL DO

• Design and implement MLOps pipelines to ensure consistency across the organization
• Configure and manage cloudbased resources (e.g., AWS, GCP, Azure) to support AIML workloads, leveraging containerization as needed
• Automate model deployment and management through scripts and tools to streamline the process
• Collaborate with data scientists and engineers to understand their requirements and develop tailored MLOps solutions
• Monitor and optimize AIML infrastructure performance by analyzing system performance and identifying bottlenecks
• Stay uptodate with industry trends and best practices, applying this knowledge to improve our organizations MLOps capabilities

• WHAT YOU’LL NEED

  • Extensive experience in deploying machine learning models to cloud environments
  • Strong expertise in Docker container orchestration
  • Proficiency in Terraform for infrastructure as code (IaC) and cloud resource management
  • Handson experience with streaming data platforms (e.g., Kafka, Kinesis)
  • Solid understanding of data cleaning, transformation, and ETL processes
  • Experience with CICD tools and pipelines (e.g., Jenkins, GitLab CI)
  • Strong programming skills in Python. Familiarity with ML frameworks (e.g., TensorFlow, PyTorch) is a plus
  • Excellent problemsolving skills and the ability to think critically and creatively
  • Strong communication skills with the ability to convey technical concepts to nontechnical stakeholders

  • ABOUT US

    Born in 2001, Code and Theory is a digitalfirst creative agency that sits at the center of creativity and technology. We pride ourselves on not only solving consumer and business problems, but also helping to establish new capabilities for our clients. With a global client roster of Fortune 100s and startups alike, we crave the hardest problems to solve. With a remotefirst approach to our people, we have teams distributed across North America, South America, Europe, and Asia. The Code and Theory global network of agencies is growing and includes Kettle, Instrument, Left Field Labs, Mediacurrent, Rhythm, and TrueLogic.

    Striving never to be pigeonholed, we work across every major category: from tech to CPG, financial services to travel & hospitality, government and education to media and publishing. We value the collaboration with our client partners, including but not limited to Adidas, Amazon, Con Edison, Diageo, EY, J.P. Morgan Chase, Lenovo, Marriott, Mars, Microsoft, Thomson Reuters, and TikTok.

    The Code and Theory network comprises nearly 2,000 people with 50% engineers and 50% creative talent. We’re always on the lookout for smart, driven, and forwardthinking people to join our team.