Alliance of Professionals & Consultants, Inc. (APC) · 1 week ago
Manager, Machine Learning & Data Engineering
Raleigh, NC
Contract
Hybrid
Senior Level
$62/hr - $70/hr
5+ years expAlliance of Professionals & Consultants, Inc. (APC) is a professional staffing and services organization dedicated to positively impacting lives. They are seeking a Lead ML & Data Engineering Manager to oversee the machine learning and data engineering lifecycle while mentoring a cross-functional data team and ensuring high-quality delivery and adherence to standards.
Business DevelopmentConsultingRecruitingStaffing Agency
No H1B
Responsibilities
Lead, mentor, and develop a cross-functional team of ML engineers, data engineers, and analysts
Translate business needs into actionable data and ML initiatives with clear milestones and measurable outcomes
Define and enforce team processes, standards, and best practices for data engineering, model development, and deployment
Manage sprint planning, prioritization, and delivery for ML and data projects
Collaborate closely with the Director of Data Engineering to align technical strategy with enterprise data governance, architecture, and security policies
Champion innovation by staying current with trends in AI, ML, and data infrastructure, identifying opportunities for continuous improvement
Design, develop, and deploy scalable, production-ready machine learning models and data pipelines
Optimize workloads for cost, performance, and reliability within the Databricks Lakehouse ecosystem
Build and maintain feature pipelines, MLflow model registries, and CI/CD workflows for automated training and deployment
Process, transform, and analyze large-scale structured and unstructured datasets
Integrate models into APIs, applications, or downstream systems (e.g., Azure Container Apps, Model Serving Endpoints)
Ensure compliance with data governance, lineage, and security standards
Conduct code reviews, provide technical mentorship, and contribute to architecture design decisions
Qualification
Required
5–10 years of progressive experience in data, machine learning, or software engineering roles, with a proven track record of delivering production-grade ML and data solutions
At least 3 years of hands-on experience designing, developing, optimizing, and deploying machine learning models in production environments (preferably using Databricks, Azure ML, or similar platforms)
2+ years of leadership experience as a technical lead, team lead, or manager overseeing data engineers, ML engineers, or data scientists — including mentoring, code review, and project delivery oversight
Demonstrated experience integrating ML models into operational systems, APIs, or business workflows
Background in data architecture, pipeline orchestration, and performance optimization across large datasets
Experience within the public utility, energy, or infrastructure sector is highly desirable, particularly with applications such as load forecasting, outage prediction, grid optimization, or asset analytics
Proven ability to collaborate cross-functionally with data platform, analytics, and business teams to translate organizational goals into scalable data and ML solutions
Databricks platform experience— including Lakehouse architecture, cluster management, Delta tables, and Spark
Proficiency with MLflow, Feature Store, and AutoML workflows
Strong foundation in Python, SQL, and ML frameworks such as scikit-learn, PyTorch, TensorFlow, or XGBoost
Experience with CI/CD, Git-based workflows, and DevOps principles for ML (MLOps)
Proven ability to lead and mentor technical teams while remaining a hands-on contributor
Deep understanding of MLOps best practices: model lifecycle management, observability, and retraining automation
Strong experience in data preparation, feature engineering, and exploratory data analysis
Ability to translate business requirements into scalable technical solutions
Excellent written and verbal communication; able to interface confidently with both technical and non-technical audiences
Demonstrated ability to work independently, manage multiple priorities, and deliver under tight deadlines
Familiarity with Agile and iterative development methodologies
Preferred
Familiarity with LLMs, Vector Search, and Generative AI integration
Azure (or equivalent cloud platform) experience
Relevant Databricks, Azure, or ML certifications are a plus
Company
Alliance of Professionals & Consultants, Inc. (APC)
Alliance of Professionals & Consultants, Inc. (APC), is an award-winning, certified business in operation since 1993.
501-1000 employees
Funding
Current Stage
Late StageLeadership Team
Troy Roberts
President & CEO
Scott Roberts
Chief Operations Officer
Recent News
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