What are the responsibilities and job description for the Principal ML & Analytics Engineer position at Endurance IT Services?
Position Overview:
Endurance IT Services is supporting a client in advancing their enterprise-wide AI initiatives. We are seeking a Principal Advanced Analytics Engineer who will lead the technical vision and execution of modern AI, ML, and BI solutions built on Microsoft technologies. This role is ideal for a seasoned engineer who excels at translating complex business challenges into scalable analytical products, guiding engineering standards, and serving as a strategic partner to both technology and business leaders.
Required Experience & Skills:
- 8 years of experience in data engineering, analytics, or related fields, including 3 years designing AI/ML architectures or enterprise-grade machine learning solutions.
- Strong communication, collaboration, and customer engagement skills, with a demonstrated ability to work closely with non‑technical stakeholders.
- Advanced proficiency across the Microsoft data and analytics ecosystem, including Microsoft Fabric, Azure Machine Learning, Azure Synapse, Azure Data Factory, Power BI, Lakehouse/Warehouse architectures, Spark, Python, Notebooks, Pipelines, and Dataflows.
- Hands‑on experience developing, validating, and deploying predictive and generative AI models—including large language models—using Fabric and Azure ML.
- Expertise in building dimensional and star‑schema data models to support analytics, reporting, and AI-driven applications.
- Proven experience implementing MLOps practices such as CI/CD for ML, automated monitoring, and model lifecycle management.
- Strong understanding of data governance, including security, access controls, lineage, and compliance with internal and external standards.
Key Responsibilities:
- Collaborate with business stakeholders and senior IT leadership to design, build, and deploy predictive and prescriptive AI/ML models that align with organizational goals.
- Establish and maintain engineering best practices, architectural guidelines, and quality frameworks for advanced analytics solutions.
- Implement end‑to‑end MLOps processes, including CI/CD pipelines, model versioning, automated testing, observability, drift monitoring, and retraining workflows within Microsoft Fabric and Azure ML.
- Promote Responsible AI principles by ensuring model fairness, transparency, explainability, and compliance with regulatory and internal governance standards.
- Design and optimize enterprise data models—such as dimensional and star schemas—to support business intelligence, automation, and AI agent workloads.
- Partner with analytics and insights teams to deliver high‑performance, scalable, and reliable data products.
- Ensure adherence to security, data‑access governance, lineage tracking, and enterprise privacy requirements.
- Stay ahead of emerging AI, ML, and BI capabilities; evaluate new technologies and introduce innovative tools and approaches to the organization.
- Provide mentorship to data and analytics engineers, fostering skill development, technical growth, and effective problem-solving practices.
About Us:
Endurance IT Services delivers comprehensive Managed IT Services, Cybersecurity Solutions, and IT Consulting, empowering organizations to stay secure, efficient, and resilient. Our team also specializes in Staff Augmentation, supporting clients with Direct-Hire, Contract-to-Hire, and Contract placements, as well as internal full-time opportunities.
Because we work closely with multiple clients, certain opportunities may evolve—but our priority remains helping candidates find the role that best fits their skills and career goals.
Salary : $160 - $180