Relevance Lab

2 weeks ago


Remote, India Relevance Lab Private Ltd Full time

Job Description :

Key Responsibilities :

- Take ownership of the ML deployment pipeline.

- Design and implement deployment strategies for various tools and ML models with consideration of scalability, cost, and ease of use.

- Ensure the security of proprietary work and manage access policies to our IP.

- Automate testing, enforce code quality, and apply development best practices.

- Collaborate with the team and be proactive with improvements.

- Be open to learning and open to teaching.

Basic Qualifications :

- Experience in MLOps or a similar role, with proven experience in deploying machine learning models to production.

- Experience in designing, building, and managing MLOps pipelines.

- Experience in cloud computing, particularly with AWS.

- Experience in building and managing API endpoints.

- Experience with MLOps tools such as MLFlow, KubeFlow, or AirFlow.

- Familiarity with ML tools and frameworks such as pandas, numpy, scikit-learn, and PyTorch.

- Experience with Infrastructure as Code tools such as CloudFormation or Terraform.

- Strong problem-solving skills and the ability to work independently or collaboratively.

Nice to Have :

- Strong experience with container management and deployment, such as using Kubernetes, AWS ECR, AWS Fargate, AWS Batch

- Prior experience in building an end-to-end MLOps pipeline for deep learning models from the ground up

(ref:hirist.tech)
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