Job Description

:Machine Learning Engineer:We are seeking an experienced Machine Learning Engineer to join our team. The ideal candidate will have a strong background in containerizing and deploying ML models, setting up CI/CD pipelines, and configuring deployments across multiple environments.Key Responsibilities:- Containerize and package ML models for deployment in cloud environments like AWS- Design and implement end-to-end ML pipelines, including CI/CD workflows- Configure model deployment and serving in different environments (dev, staging, production)- Work closely with data science teams to take POCs and prototypes to production-ready systems- Implement MLOps best practices for model versioning, monitoring, and re-training- Leverage cloud platform services (e.g. AWS) for scalable, reliable ML infrastructureRequired Skills and Experience:- 3+ years of experience as a Machine Learning Engineer or similar role- Proficient in containerization technologies like Docker and Kubernetes- Hands-on experience with CI/CD tools and platforms (e.g. Jenkins, GitHub Actions)- Ability to configure and manage deployment of ML models across multiple environments- Familiarity with cloud infrastructure and services, preferably one of the major cloud providers (AWS, GCP, Azure)- Strong programming skills in Python and experience with ML frameworks like TensorFlow, PyTorch- Understanding of MLOps principles and best practices- Excellent problem-solving, critical thinking, and communication skillsNice-to-have:- Experience with infrastructure-as-code tools (e.g. Terraform, CloudFormation)- Understanding of ML model monitoring and retraining strategies

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