Senior Machine Learning Engineer
Position Overview:
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. You will build robust MLOps platforms, design scalable ML pipelines, and provide strategic guidance for implementing autonomous business intelligence and AI-driven analytics systems.
ShyftLabs is a growing data product company founded in early 2020 and works primarily with Fortune 500 companies. We deliver digital solutions built to help accelerate the growth of businesses in various industries, by focusing on creating value through innovation.
- 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
- Design ML pipeline automation strategies integrating feature engineering, model training, and deployment processes
- Implement real-time ML inference patterns supporting business-critical applications
- Design, develop, and deploy enterprise-grade chatbot solutions leveraging LLMs and conversational AI frameworks
- Integrate chatbots with business applications and knowledge bases, ensuring secure access to enterprise data through APIs, RAG pipelines, and vector databases
- Implement conversation monitoring, feedback loops, and retraining workflows to improve chatbot accuracy, reliability, and user experience
- Develop chatbot analytics and usage dashboards to measure adoption, performance, and business impact
- Ensure compliance, security, and governance in chatbot deployments, including role-based access, data privacy, and audit trails
- 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 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
- Strong background in machine learning algorithms including supervised/unsupervised learning, ensemble methods, and deep learning
- 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
- Experience with Agentic BI frameworks and autonomous analytics systems
- Knowledge of conversational AI and natural language interfaces for business intelligence
- Understanding of AI governance frameworks and enterprise AI readiness assessment
- Experience with real-time recommendation systems and live inference pipelines
- Familiarity with financial modeling or pricing optimization ML applications
- Understanding of A/B testing frameworks for ML model evaluation
- Knowledge of ML governance and regulatory compliance requirements
We are proud to offer a competitive salary alongside a strong healthcare insurance and benefits package. The role is 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. We encourage qualified applicants of all backgrounds including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, nationality, and education levels to apply. If you are contacted for an interview and require accommodation during the interviewing process, please let us know.
Average salary estimate
If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.
Help build Netic's production ML stack as a New Grad Machine Learning Engineer, working on LLMs, fine-tuning, and full-stack model delivery for real-world service businesses.
Kobie is hiring a Decision Science Analyst to generate actionable customer insights, build audience segments, and communicate data-driven recommendations that improve loyalty program ROI in a remote-friendly role.
Work at Quizlet to design, develop, and deploy scalable ML and AI systems that power personalized learning experiences for millions of users.
Oura is hiring a Senior Data Scientist to lead algorithm and production ML development for running dynamics and performance-focused features using wearable sensor data.
Mercor is hiring an Applied AI Engineer to convert real-world human datasets into production-ready signals, deploy and evaluate LLMs, and build integrations and tooling that improve customer outcomes.
Data Scientist to develop product analytics, LLM-powered insights, and data-quality pipelines that turn in-person conversation data into measurable business impact at a high-growth AI company.
The Patrick J. McGovern Foundation is building an open talent pool of technologists and data experts to match with future AI- and data-focused roles supporting social-impact programs and partners.
Senior Machine Learning Engineer/Economist to apply auction theory, econometrics, and scalable engineering to optimize Pinterest's ads marketplace and long-term advertiser and user outcomes.
Lead data science engineering for NBCUniversal’s AdSmart audience platform, building modeling and forecasting services to inform ad targeting and inventory optimization.
Experienced quantitative analyst sought to design and deploy machine learning and statistical models that drive business outcomes for a major financial services firm in Charlotte, NC.
An entry-level AI engineering position at OCC focused on building data integrations, evaluating AI tools, and supporting responsible AI implementations across business and technology teams.
Our company story is a captivating tale of innovation, dedication, and the relentless pursuit of excellence. From our humble beginnings to becoming a trailblazer in the data product industry, every chapter of our narrative is etched with the passi...
2 jobs
🔮
Hi, I'm Risa! Your AI Career Copilot
you, just ask me below!
