ShyftLabs is seeking an experienced Senior Machine Learning Engineer to design and implement ML infrastructure and assess Agentic BI readiness for Fortune 500 enterprise companies.
Requirements
- Expert-level experience with MLflow for model lifecycle management and experimentation tracking
- Deep hands-on experience with Databricks ML platform including Unity Catalogue for ML governance
- Proven experience with AWS ML services including SageMaker, model deployment, and managed ML infrastructure
- Experience with generative AI and LLM integration for business intelligence applications and semantic data modeling requirements
- Knowledge of feature store architectures, ML data management patterns, and model versioning/automation workflows
- Strong background in machine learning algorithms including supervised/unsupervised learning, ensemble methods, and deep learning
- Experience with Agentic BI frameworks and autonomous analytics systems
Responsibilities
- Design and implement MLOps infrastructure using MLflow, Databricks Unity Catalogue, and AWS managed services
- Build feature store implementations and ML model versioning strategies using Databricks and MLflow
- Assess AI readiness and design roadmaps for Agentic BI implementations supporting autonomous insights generation
- Design production ML systems supporting predictive analytics, classification, and optimization models
- Implement ML model deployment pipelines with automated training, validation, and deployment workflows
- Build model monitoring and performance management systems for production ML applications
- Evaluate generative AI infrastructure requirements including semantic layers and automated analytics workflows
Other
- 5+ years of experience in ML engineering with Fortune 500 enterprise-scale implementations
- Preferably hybrid, with 3 days per week spent in the office, and flexibility for client engagement needs.
- We pride ourselves on the growth of our employees, offering extensive learning and development resources.
- ShyftLabs is an equal-opportunity employer committed to creating a safe, diverse and inclusive environment.
- If you are contacted for an interview and require accommodation during the interviewing process, please let us know.
