VP of Local to Local Operations overseeing pharmaceutical manufacturing, delivering commercial ambitions and ensuring performance excellence across multiple sites. Role includes strategic planning and leadership responsibilities.
IS
Hybrid Senior Development Operations Engineer
Posted 3 months ago
About the role
- Staff AI/ML Engineer & Data Scientist at InDepth Engineering Solutions, focusing on ML pipelines and statistical analysis. Remote work with occasional travel to Normal, IL.
Responsibilities
- Lead the design, deployment, and maintenance of production-grade ML systems
- Architect robust ML pipelines and apply advanced statistical techniques
- Ensure models are accurate, explainable, and scalable
- Apply algorithms such as regression, tree-based models, SVMs, clustering, and forecasting to solve high-impact problems
- Lead the full lifecycle from data preprocessing and feature engineering to training, validation, deployment, and monitoring
- Apply hypothesis testing, Bayesian methods, and model interpretability techniques to ensure reliable insights
- Define ML architecture, best practices, and performance standards for enterprise-scale solutions
- Build scalable ML pipelines and APIs in Python (primary) and Golang (for backend services)
- Design and manage CI/CD pipelines for ML, including automated retraining, model versioning, monitoring, and rollback strategies
- Partner with engineering, analytics, and product teams to align technical solutions with business objectives
Requirements
- 8+ years of experience in applied ML or data science
- 3+ years in a senior or staff-level role and devops experience
- Expert proficiency in Python for ML development (Good to have: Golang for backend integration)
- Proven experience deploying traditional ML models to production with measurable business impact
- Strong knowledge of ML frameworks (Scikit-learn, XGBoost, LightGBM) and data libraries (Pandas, NumPy, Statsmodels)
- Hands-on MLOps experience with tools like MLflow (preferred), Databricks(preferred), Kubeflow, Vertex AI Pipelines, or AWS SageMaker Pipelines
- Experience with model monitoring, drift detection, and automated retraining strategies
- Strong database skills (SQL and NoSQL)
- Masters degree or PHD is mandatory
Benefits
- Mostly remote with a required trip to Normal, IL once a month for three days
Job title
Job type
Experience level
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Not specified
Degree requirement
Tech skills
Location requirements
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