Offer summary

Qualifications:

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., Hands-on experience with streaming data platforms like Kafka or Kinesis..

Key responsibilities:

Design and implement MLOps pipelines to ensure consistency.

Configure and manage cloud-based resources to support AI/ML workloads.

Automate model deployment and management processes.

Collaborate with data scientists and engineers to develop MLOps solutions.

Job description

We are seeking an experienced Senior 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 AI/ML infrastructure. You’ll be in a high-visibility 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 spell-checking to large language modeling and beyond.

WHAT YOU’LL DO:

Design and implement MLOps pipelines to ensure consistency across the organization.
Configure and manage cloud-based resources (e.g., AWS, GCP, Azure) to support AI/ML 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 AI/ML infrastructure performance by analyzing system performance and identifying bottlenecks.
Stay up-to-date with industry trends and best practices, applying this knowledge to improve our organization's MLOps capabilities.

Must have

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.
Hands-on experience with streaming data platforms (e.g., Kafka, Kinesis).
Solid understanding of data cleaning, transformation, and ETL processes.
Experience with CI/CD tools and pipelines (e.g., Jenkins, GitLab CI).

Nice to have

Strong programming skills in Python.
Familiarity with ML frameworks (e.g., TensorFlow, PyTorch) is a plus.
Excellent problem-solving skills and the ability to think critically and creatively.
Strong communication skills with the ability to convey technical concepts to non-technical stakeholders.

Required profile