Overview
As a Lead AI Engineer at DocMe360, you will play a pivotal role in shaping the future of our clinical AI solutions for the Department of Veteran Affairs. You will lead the design, development, and implementation of advanced AI and ML models and algorithms, utilizing Python as your primary programming language. Your expertise will drive the innovation of machine learning applications that enhance our product offerings and streamline our operations.
Responsibilities
Designing and building machine learning models that achieve business objectives
Leading and mentoring a team of AI engineers in developing cutting-edge AI applications
Collaborating with the product manager, UX researcher/designer and stakeholders to define AI project requirements
Researching and evaluating new AI technologies and methodologies to implement in projects
Optimizing AI models for performance and efficiency
Presenting technical concepts and project updates to non-technical stakeholders
Ensuring that best practices and coding standards are maintained throughout the development process
Qualifications
Extensive experience with Python and its machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn)
Deep understanding of machine learning algorithms, data structures, and data processing
Strong experience in software architecture and system design
Excellent problem-solving skills and ability to work under pressure
Strong communication skills, capable of conveying complex ideas clearly and concisely
A collaborative spirit and a passion for innovation in AI technology
DocMe360 Values
Delivery: Commit to a culture of honesty, transparency, unwavering integrity, and professional growth
Optimism: Invest in professional growth and well-being
Collaboration: Foster teamwork and shared expertise to achieve success
Motivation: Inspire and energize clients with passion and purpose
Exploration: Seek out opportunities for innovative technologies that align with our mission
Requirements
5 years of experience in AI/ML engineering or related fields
10 years of experience in full-stack engineering
Demonstrated experience in leading teams and managing AI projects
Strong knowledge of data science principles, algorithms, and statistical analysis
Experience with cloud platforms (AWS, GCP, or Azure) for deploying AI models
Experience supervising team members and developing and conducting performance reviews
U.S. citizenship and ability to obtain a federal ‘public trust’ security clearance
Bachelor’s Degree in Computer Science or similar field, Master’s Degree preferable
Benefits
Health Care Plan (Medical, Dental & Vision)
Retirement Plan (401k, IRA)
Paid Time Off (Vacation, Sick & Public Holidays)
Family Leave (Maternity, Paternity)
Training & Development
Work From Home
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