Director of AI & Machine Learning

Accentuate Staffing

Morrisville (NC)

On-site

USD 120,000 - 150,000

Full time

14 days+

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Job summary

A staffing solutions provider is seeking a Director of AI & Machine Learning to lead initiatives that align AI capabilities with business objectives. The ideal candidate will have a strong technical background in AI/ML algorithms and tools, alongside a Bachelor's degree and over 5 years of relevant experience. Key responsibilities include managing staff, overseeing AI operations, and ensuring effective communication across the organization, fostering a culture of innovation and collaboration.

Qualifications

  • 5+ years of experience in managing and supporting IT.
  • Strong technical expertise in AI/ML methods and tools.
  • Proven track record of successful AI/ML project delivery.

Responsibilities

  • Develop and implement AI/ML initiatives that align with business strategies.
  • Lead team development and ensure effective communication across departments.
  • Manage AI operations and oversee large dataset analysis.

Skills

AI/ML algorithms
Data modeling
Data engineering
TensorFlow
PyTorch
Analytical skills
Strategic planning
Communication skills
Microsoft Project
Data Analytics

Education

Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics or a related field

Job description

Accentuate Staffing is seeking a Director of AI & Machine Learning with strong strategic vision, deep hands‑on technical expertise, and a proven ability to build and lead high‑performing teams delivering scalable, ethical AI solutions. The ideal candidate will also excel at aligning advanced machine learning capabilities with business objectives and driving innovation across the organization.

Responsibilities:

Manage and Develop Staff

  • Responsible for establishing and implementing a safe working environment that meets all licensure, regulatory, and accreditation requirements
  • Lead, train and develop the members of the Artificial Intelligence team and assist them in delivering clear and actionable information
  • Develops plans to monitor and manage staff productivity and success in meeting assigned objectives
  • Ensure staff are well trained in policies, procedures, and business processes
  • Reviews, makes recommendations and implements the needed systems and tools to successfully fulfill corporate objectives and to support staff and team members
  • Lead the identification and development of the Artificial Intelligence Team roles, configuration and recruitment
  • Provide solution design guidance to the Artificial Intelligence team, ensuring delivery of best‑in‑class solutions for the challenges at hand
  • Leads ongoing coaching and mentoring to staff on new technology tools and practices, including change management practices, to support a learning environment to advance team skills
  • Ensure all staff are treated with respect and dignity
  • Ensure standards are transparent and applied consistently, impartially, and ethically over time and across all staff members
  • Work to resolve conflicts and disputes, ensuring that all participants are given a voice
  • Effectively communicate feedback and provide ongoing coaching and mentoring to staff and support a learning environment to advance team skills and professional development
  • Cultivate and encourage efforts to expand cross‑team collaboration and partnership

Oversee Artificial Intelligence Operations

  • Lead the development and implementation of AI/ML initiatives across the organization, ensuring alignment with business objectives and strategies
  • Collaborate with cross‑functional teams to design, build, and deploy AI/ML models and solutions
  • Oversee the collection, processing, and analysis of large datasets from various sources to fuel AI/ML models
  • Develop and maintain relationships with external partners, vendors, and academia to stay ahead of the curve in AI/ML innovation
  • Ensure the successful deployment of AI/ML solutions across the organization, including training, support, and ongoing maintenance
  • Foster a culture of innovation and experimentation, encouraging collaboration and knowledge sharing across the organization
  • Develop, define, and enforce best practices, processes, policies and system security to ensure alignment with all corporate strategy and goals

Communication and Collaboration

  • Lead in a consultant role in advising executive and senior leadership on complex and high‑risk strategic and contractual operational IT initiatives
  • Collaborate with leaders across the organization to help them understand and identify the value drivers to improve business operations and meet organizational objectives
  • Communicate corporate initiatives with both technical and non‑technical executives and other team members, using active leadership skills across project team and the business community
  • Develop cross‑departmental teams and analytics business application expertise throughout the organization
Requirements:
  • Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics or a related technical field and 5 (five) years of experience with increasing responsibilities in managing and supporting information technology
  • Strong technical expertise in AI/ML algorithms, data modeling, and data engineering
  • Excellent analytical, strategic conceptual thinking, strategic planning and execution skills
  • Experience with AI/ML platforms and tools, such as TensorFlow or PyTorch
  • Experience with GenAI Models, such as Meta Llama and Mistral AI
  • Excellent verbal and written communication skills, including the ability to explain AI concepts
  • Planning and organizational skills
  • Demonstrated skills in Microsoft Project, Excel, Word, and PowerPoint and other commonly used software and data analysis software
  • Proven track record of delivering successful AI/ML projects and solutions
  • Strong business acumen, including industry, domain‑specific knowledge of the enterprise and its business units
  • Ability to identify and calculate risk levels and implement mitigation techniques.
  • Ability to work effectively with, manage, motivate and get results from diverse stakeholders, including executive and senior leadership.
  • Ability to work across multiple, distributed, functional groups
  • Specific experience with clinical management information systems is a plus.
  • Artificial Intelligence and Machine Learning
  • Productivity and reporting applications such as Data Analytics
  • Business processes and their interrelationship gained through 5 (five) or more years of related experience
  • Analyzing and resolving complex issues, both logical and interpersonal
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