MVP Ventures · 3 weeks ago
MLOps Engineer
United States
Full-time
Remote
Senior Level
5+ years expMVP Ventures is an AI company focused on transforming enterprise decision-making through their innovative technology. They are seeking an MLOps Engineer to develop and manage scalable machine learning pipelines, design robust model serving infrastructure, and implement solutions for model deployment and monitoring.
Professional ServicesFinanceFinTechVenture CapitalBusiness DevelopmentFinancial Services
Responsibilities
Develop and manage scalable, automated machine learning pipelines, CI/CD workflows, and orchestration frameworks
Design and implement robust model serving infrastructure using platforms like TorchServe, TensorFlow, Triton etc
Develop scalable inference architectures optimized, with ultra-low latency and high throughput
Ensure seamless model deployment by implementing A/B testing, canary releases, and rollback capabilities
Develop logging, alerting, and monitoring solutions to track model development, and reliability
Improve GPU usage, enable autoscaling, and streamline resource allocation to boost efficiency
Design, implement, and maintain feature stores, robust data pipelines, and scalable storage solutions to efficiently handle large volumes of data
Qualification
Required
Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent practical experience)
5+ years of experience as MLOps engineer or DevOps roles, working with MLOps platforms (MLflow, WandB etc..) and frameworks (PyTorch, TensorFlow etc..)
Experience building and designing MLOps infrastructure from the ground up
Experience with model serving frameworks (TorchServe, TensorFlow Serving, Triton, KServe etc..) for high scalability and low latency inference
Experience in building and managing data pipelines to support both model training and inference
Experience with Kubernetes on a major cloud provider (AWS, GCP, or Azure) and with infrastructure as code (e.g. Terraform, Helm, GitOps)
Strong software engineering skills in Python, Bash, and Go, with a focus on writing clean, maintainable, and scalable code
Experience in AI/ML systems security, compliance, and model governance
Proficient with observability and monitoring tools, such as Prometheus, Grafana, Datadog, and OpenTelemetry
Preferred
Experience with ML workflow tooling (MLflow, Kubeflow, or similar)
Experience with FastAPI and Backend applications
Familiarity with data platforms like Databricks or Snowflake
Exposure to SRE practices or cloud security certifications
Hands-on experience with Prometheus, Grafana, or Datadog
Benefits
Competitive compensation with salary and equity
Comprehensive health coverage for you and your dependents
Paid parental leave for all new parents, inclusive of adoptive and surrogate journeys
Relocation support for employees moving to join the team in one of our office locations
A mission-driven, low-ego culture that values diversity of thought, ownership, and bias toward action
Company
MVP Ventures
MVP Ventures invests in early-stage deep tech companies that builds differentiated and defensible technology across software and hardware.
2-10 employees
H1B Sponsorship
MVP Ventures 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
Represents job field similar to this job
Management and Executive
Sales
Trends of Total Sponsorships
*2024 (1)
2021 (2)
Funding
Current Stage
Early StageLeadership Team
Weston Moyer
Co-Founder and Managing Partner
Recent News
Venture Capital Firms
2026-08-13
2026-08-12
vcnewsdaily.com
2026-08-12
Company data provided by crunchbase