Machine Learning Operations Specialist
2 days ago
We are seeking a skilled Machine Learning Operations Specialist to join our innovative team. This is a remote role, where you'll have the opportunity to work on exciting projects and shape the future of AI operations.
Key Responsibilities:- Pipeline Optimization: Collaborate with data scientists and engineers to design, implement, and maintain scalable machine learning workflows.
- Infrastructure Management: Deploy and manage machine learning models using Databricks, ensuring high availability, reliability, and performance.
- CI/CD for ML: Build and maintain automated pipelines using Jenkins to streamline code deployment, model training, and testing.
- Cloud Solutions: Design and manage cloud solutions on AWS and Azure, ensuring cost-efficiency and security for all ML operations.
- Cross-functional Collaboration: Work closely with DevOps, data engineers, and product teams to integrate ML models into production systems.
- Monitoring and Troubleshooting: Implement monitoring and logging solutions to identify and resolve issues proactively, ensuring uninterrupted service delivery.
- Experience: 3-5 years in MLOps, DevOps, or a related field, with a strong focus on automation, scalability, and cloud-based deployments.
- Technical Expertise: Proficiency with Databricks for managing large-scale ML workflows.
- CI/CD Tools: Expertise in tools like Jenkins.
- Cloud Platforms: Hands-on experience with AWS (SageMaker, S3, Lambda, etc.) and/or Azure (ML Studio, Kubernetes, etc.).
- Scripting Skills: Strong scripting skills in Python, Bash, or similar languages.
- Problem Solving: A proactive attitude toward identifying bottlenecks and proposing innovative solutions.
- Team Player: Strong communication and collaboration skills, with a knack for working in distributed teams.
- Adaptability: Thrive in a fast-paced, ever-evolving tech landscape.
- Remote Flexibility: Work from anywhere while contributing to global-impact projects.
- Learning Opportunities: Access to state-of-the-art tools and technologies.
- Innovative Environment: Collaborate with passionate professionals in a supportive and creative culture.
- Career Growth: Opportunities to lead initiatives and grow with the company.
The estimated salary for this position is $120,000 - $180,000 per year, depending on location and experience.
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