Senior Machine Learning Engineer

Full-time

Job Description

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.

Job Description

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

Basic Qualifications

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

Preferred Qualifications

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.

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