What are the responsibilities and job description for the MLOps Engineer position at Compunnel Inc.?
Job Title: MLOps Engineer - W2 Only - We can provide sponsorship as well.
Duration: Long Term
Location: Westlake, TX - Hybrid
Must have skills:
- Machine Learning Operations Experience with Sagemanker
- Experience developing applications in AWS Cloud
- REST API Development in Python
- CI/CD in Jenkins or similar tools.
Nice to have: Large financial company experience, Snowflake
The Expertise and Skills You Bring
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
- 7 years of IT experiecne.
- 3 years of experience in MLOps, DevOps, or a related field with a focus on machine learning
- 1 years of experience developing solutions on the AWS cloud platform
- Proficient in Python and/or Java, with strong coding and debugging skills
- Exposure to continuous integration & delivery (CI/CD) practices
- Proven experience with building container-based systems such as Docker
Responsibilities:
- Model Deployment and Management: Develop and manage the deployment of machine learning models in production environments, ensuring scalability, reliability, and efficiency.
- Infrastructure Automation: Design and implement automated workflows and pipelines for model training, testing, and deployment using tools like Jenkins, Docker, and Kubernetes.
- Aerospike Management: Use Aerospike for high-performance data storage and retrieval, ensuring optimal data handling for machine learning applications.
- API Development: Design, develop, and maintain robust APIs for model integration with various applications and services.
- Collaboration: Work closely with data scientists, software engineers, and other stakeholders to understand requirements and translate them into technical solutions.
- Monitoring and Optimization: Implement monitoring and logging solutions to track model performance and system health, optimizing as necessary to meet business objectives.
- Security and Compliance: Ensure that all deployed models and systems align with industry standards and regulations, implementing vital security measures.
