VCS Digital LLC
Lead ML Engineer
Deerfield, Illinois, USA · Full-time
Sponsorship not specifiedDetected 55 days ago
PythonJavaScalaCode ReviewGitSQLDatabricksAzureDockerKubernetesTerraformCI/CDGitHub ActionsDevOpsMachine LearningDeep LearningTensorFlowPyTorchSparkData EngineeringData ScienceMLOpsTest AutomationLeadership
About the role
- Good to Have Understanding of Data Science models Exposure to Deep Learning frameworks such as TensorFlow or PyTorch Solid understanding of feature engineering, model evaluation, and experimentation.
Responsibilities
- ML Engineering & Delivery Lead the design and implementation of production ML pipelines for training, batch inference, and real-time/near-real-time scoring.
- Build and manage feature engineering workflows, feature stores (where applicable), and reusable ML components.
- Drive model packaging and deployment patterns (containers, serverless, managed endpoints) and optimize for performance and cost.
- MLOps Implement CI/CD for ML (model versioning, automated testing, promotion gates, rollback strategies) using Azure DevOps / GitHub Actions integrated with Databricks Leverage MLflow (Databricks native) for experiment tracking, model registry, and lifecycle management Establish best practices for model monitoring: data drift, concept drift, model degradation, and alerting.
- Data & Platform Collaboration Partner with Data Engineering on data quality, lineage, and availability to ensure reliable model inputs.
- Leadership & Mentoring Provide technical leadership and mentorship to ML Engineers and junior team members. · Conduct design reviews, code reviews, and establish engineering standards.
- Coordinate delivery plans, estimate work, and manage technical risks and dependencies.
Requirements
- Languages: Python (required)
- Kubernetes, Terraform (optional) Cloud: Azure, logging/monitoring Experience with MLOps practices, including model versioning, monitoring, and CI/CD for ML pipelines.
Nice to have
- Translate Data Science prototypes into robust, maintainable services and workflows with strong testing, observability, and reliability.
- Define and enforce guardrails for responsible AI: bias checks, explainability, privacy controls, and auditability.
- Leadership & Mentoring Provide technical leadership and mentorship to ML Engineers and junior team members. ·
- Thanks & Regards Himanshu Shahi VCS Digital LLC Cell: +1 || +91 Email: Web:
- Azure, logging/monitoring Experience with MLOps practices, including model versioning, monitoring, and CI/CD for ML pipelines.
- Preferred Traits Strong communication and storytelling skills with data Ability to work in a collaborative and fast-paced environment
- Passion for solving complex business problems using data Roles & Responsibilities:
Skills
- Python (required); SQL; optional
- Git, CI/CD, Docker;
- bias checks, explainability, privacy controls, and auditability.
- Work with Cloud/Platform teams to ensure scalable infrastructure (compute, networking, IAM, secrets, logging).
- Influence target architecture and technology decisions for the ML platform roadmap.
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This listing is sourced directly from VCS Digital LLC's careers page and normalized into a canonical job model.