63 applicants

Company

Original Job Post

ZoomInfo · 3 days ago

Senior Machine Learning Engineer

Waltham, MA

Full-time

Onsite

Senior Level

8+ years exp

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Responsibilities

Model Deployment Leadership: Lead the deployment of advanced machine learning models into production environments, ensuring their robustness and scalability.

Efficient Data Pipelines: Design and optimize data pipelines for efficient and seamless model deployment, leveraging best practices in MLOps.

Cross-functional Collaboration: Collaborate closely with cross-functional teams, including data scientists, engineers, and business stakeholders, to understand deployment requirements and translate them into actionable strategies.

MLOps Best Practices: Spearhead the adoption of cutting-edge MLOps methodologies and best practices to streamline deployment processes and enhance model monitoring and management.

Version Control and Model Tracking: Implement effective version control and model tracking to maintain a reliable model deployment pipeline.

Performance Monitoring: Monitor deployed models for performance and make necessary improvements or updates as required.

Compliance and Security: Ensure compliance with data privacy and security regulations throughout the deployment process.

Issue Resolution: Provide technical leadership in troubleshooting and resolving production deployment issues promptly.

Documentation and Guidelines: Document deployment processes and create guidelines for team members to follow best practices.

Continuous Learning: Stay updated with the latest advancements in MLOps and machine learning deployment techniques to continuously improve deployment practices.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Machine learningMlopsPythonDockerKubernetesTensorflow servingData engineeringPipeline optimizationData privacy regulationsScalable ml solutionsBusiness growthTeamworkCommunicationAnalyticalProblem-solvingLeadershipCommitment

Required

Bachelor's or Master's degree in Computer Science, Data Science, or a related field.

At least 8 years of experience in deploying machine learning models into production with expertise in MLOps tools and methodologies.

Strong programming skills in Python and relevant MLOps libraries/frameworks.

Familiarity with tools like Docker, Kubernetes, TensorFlow Serving, or similar for model deployment.

Understanding of data engineering and pipeline optimization.

Excellent teamwork and communication skills for cross-functional collaboration.

Strong analytical and problem-solving abilities.

Commitment to staying updated with MLOps trends.

Knowledge of data privacy regulations.

Leadership experience in deploying machine learning solutions.

Focus on delivering scalable ML solutions for business growth.

Company

ZoomInfo

Glassdoor

3.9

ZoomInfo provides B2B contact and company information to accelerate the growth of sales and marketing teams.

Founded in 2007

Vancouver, Washington, USA

1,001-5,000 employees

http://www.zoominfo.com

H1B Sponsorship

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Distribution of Different Job Fields Receiving Sponsorship

Trends of Total Sponsorships

2023 (33)

2022 (112)

2021 (84)

2020 (27)