Position: CommondGround | MLOps Engineer
Company: SD Solutions
Category: DevOps
Experience required: 3y
English level: intermediate

‍What will you do?

‍As our MLOps engineer you will be a part of the data engineering team, working closely with our DevOps lead as well as software developers and researchers.

In this role, you will be a key contributor in building our ML frameworks, Design our production architecture, and allow ML models.

Production 
Preferable experience in production with following:

SaaS Applications;
Real Time solutions;
Large-scale distributed systems;
High Availability Systems;
Performance benchmarking;
Kubernetes or MicroServices.
Responsibilities include:

- Design and build MLOps systems, including data pipelines and production-level machine learning (ML) infrastructure, using tools such as Kubeflow Pipelines, Kubernetes, etc.;

- Leverage your experience to drive best software development practices in ML systems;

- Bring ML research from to production;

- Deploy ML models under the constraints of scalability, correctness, and maintainability, with hardware acceleration techniques;

- Optimize and give feedback to research-level models to bring them to production level;

- Collaborate with cross functional agile teams of machine learning engineers, video engineers, data engineers, and others, in building machine learning infrastructure that best supports the ML needs at CommonGround.

Requirements:

- Proficient in working with cloud platforms, Docker and Kubernetes;

- Highly proficient in Python, with the ability to build APIs;

- 2+ years of machine learning product development experience, using state-of-the-art tooling and having a deep understanding of the best practices for ML systems;

- Experience in building high performance distributed systems at scale;

- Familiarity with MLOps tools and experiment management platforms such as KubeFlow;

- Experience with Deep Learning Frameworks such as TensorFlow, Pytorch;

- Experience with MLFlow;

- Experience with data processing and storage frameworks;

- Ability to architect data pipelines using MLOps tools.

Good to have/work with:

- Passionate about Data science and Machine learning products;

- B.S. degree in Computer Science or a related technical field;

- Experience in working with Video processing and 3D;

- Skilled communication and a proven record of leading work across disciplines.

https://www.commonground-ai.co...