Relativity · 2 days ago
Advanced ML Ops Engineer
Illinois
Full-time
Hybrid
Mid Level
$103K/yr - $155K/yr
3+ years expRelativity is a technology company that builds software to help uncover the truth in complex data for legal professionals and organizations. The Advanced ML Ops Engineer will bridge the gap between engineering and data science teams, focusing on building scalable ML platforms and enhancing the ML lifecycle from training to deployment.
ComputerEdiscoveryEnterprise SoftwareInformation TechnologyLegalLegal TechSoftware
Responsibilities
Contribute to the design and implementation of ML/AI platforms, focusing on scalability, reliability, and security while standardizing GenAI workflows and model management processes
Partner with data scientists, product managers, security, and data-engineering teams to deliver high-impact ML solutions and ensure robust data protection and compliance
Implement and enhance CI/CD pipelines for models and data workflows using containerization, infrastructure-as-code, and orchestration tools such as Prefect or Airflow
Prototype emerging ML Ops technologies to reduce costs, improve efficiency, and unlock new product capabilities; share findings and best practices across the AI organization
Deploy, monitor, and tune production models, establishing health, performance, and cost-optimization metrics
Participate in code and design reviews, contribute hands-on to projects, and mentor junior engineers while continuously developing your own expertise
Qualification
Required
3+ years of professional software-engineering experience, including 1+ year in ML/AI or big data environments
Proficiency in Python and C#, with production experience using Docker
Practical experience deploying solutions on AWS, Azure, or GCP via infrastructure-as-code tools (e.g., Terraform, Pulumi)
Familiarity with a workflow orchestration tool (Prefect, Airflow, etc.) and fundamentals of Kubernetes/Helm
Demonstrated ability to deploy, monitor, and troubleshoot ML models in production, collecting metrics for reliability and algorithmic health
Preferred
Bachelor's degree in Computer Science, Engineering, Mathematics, or related field (Master's a plus)
Experience with ML-lifecycle frameworks such as MLflow or Kubeflow
Exposure to model-optimization techniques (quantization, pruning, compression) and/or distributed data frameworks (Spark, EMR, Kafka)
Familiarity with deep-learning frameworks (TensorFlow, PyTorch) and secure, compliant data-processing environments
Benefits
Annual performance bonus
Long-term incentives
Company
Relativity
Relativity's makes software to manage large volumes of data and identify key issues during litigation, investigations, and compliance.
1001-5000 employees
H1B Sponsorship
Relativity 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
Trends of Total Sponsorships
2025 (23)
2024 (12)
2023 (21)
2022 (25)
2021 (20)
2020 (30)
Funding
Current Stage
Late StageTotal Funding
$125MKey Investors
Silver LakeICONIQ Growth
2021-03-18Private Equity
2015-02-03Private Equity· $125M
Leadership Team
Phil Saunders
Chief Executive Officer
Kirk Larsen
Chief Financial Officer
Recent News
2025-12-10
Company data provided by crunchbase