Senior Machine Learning Engineer
Job Description
ShyftLabs, a dynamic data product company established in 2020, is seeking a Senior Machine Learning Engineer to join their team. This role presents an exciting opportunity to work with Fortune 500 enterprises, designing and implementing cutting-edge ML infrastructure and assessing Agentic BI readiness.
The position offers a unique blend of technical challenges and strategic importance, where you'll be responsible for building robust MLOps platforms and designing scalable ML pipelines. You'll work with state-of-the-art technologies including MLflow, Databricks Unity Catalogue, and AWS managed services, while also providing strategic guidance for implementing autonomous business intelligence and AI-driven analytics systems.
As a Senior ML Engineer, you'll be at the forefront of implementing enterprise-grade chatbot solutions, leveraging LLMs and conversational AI frameworks. Your role will be crucial in integrating these solutions with business applications and knowledge bases, ensuring secure access to enterprise data through APIs, RAG pipelines, and vector databases.
The ideal candidate brings 5+ years of ML engineering experience with Fortune 500 enterprise-scale implementations, along with expert-level knowledge of MLflow and Databricks ML platform. This hybrid role offers the flexibility of working from home while maintaining collaborative office presence, with comprehensive healthcare benefits and strong emphasis on professional development.
Join ShyftLabs to be part of a growing company that values innovation, diversity, and employee growth, while working on transformative AI solutions that drive business value for leading enterprises.
Responsibilities For Senior Machine Learning Engineer
- Design and implement MLOps infrastructure using MLflow, Databricks Unity Catalogue, and AWS managed services
- Build feature store implementations and ML model versioning strategies
- Assess AI readiness and design roadmaps for Agentic BI implementations
- Design production ML systems for predictive analytics
- Implement ML model deployment pipelines
- Build model monitoring and performance management systems
- Design ML pipeline automation strategies
- Implement real-time ML inference patterns
- Design, develop, and deploy enterprise-grade chatbot solutions
- Integrate chatbots with business applications and knowledge bases
- Implement conversation monitoring and feedback loops
- Develop chatbot analytics and usage dashboards
- Ensure compliance, security, and governance in chatbot deployments
Requirements For Senior Machine Learning Engineer
- Bachelor's or Master's degree in Computer Science, Machine Learning, Engineering, or related quantitative field
- 5+ years of experience in ML engineering with Fortune 500 enterprise-scale implementations
- Expert-level experience with MLflow for model lifecycle management
- Deep hands-on experience with Databricks ML platform
- Proven experience with AWS ML services including SageMaker
- Strong background in machine learning algorithms
- Experience with generative AI and LLM integration
- Knowledge of feature store architectures and ML data management patterns
Benefits For Senior Machine Learning Engineer
- Healthcare insurance
- Learning and development resources
Related Jobs
