ZoomInfo · 5 days ago
Senior Machine Learning Engineer
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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
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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
ZoomInfo provides B2B contact and company information to accelerate the growth of sales and marketing teams.
H1B Sponsorship
ZoomInfo has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2023 (33)
2022 (112)
2021 (84)
2020 (27)
Funding
Current Stage
Public CompanyTotal Funding
$8.55MKey Investors
TA AssociatesVenrock
2024-04-01Post Ipo Equity· $1.55M
2023-02-17IPO· fra:ZOM
2019-02-04Acquired· by DiscoverOrg
Leadership Team
Recent News
Business Journals
2024-05-19
The Motley Fool
2024-05-12
Company data provided by crunchbase