Machine Learning Deployment Specialist
1 month ago
Job Title: Relevance Lab Private Ltd is seeking a skilled Machine Learning Deployment Specialist to join our team.
Key Responsibilities:
- 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.
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
What We Offer:
- Opportunity to work with a talented team of professionals in the field of AI and ML.
- Collaborative and dynamic work environment.
- Competitive salary and benefits package.
- Professional development opportunities.
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