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.
This role requires strong leadership abilities, as you will mentor engineers, collaborate with cross-functional teams, and interact with clients to understand their needs. You will also be responsible for creating AI solutions into Department of Veteran Affairs software systems, ensuring scalability, reliability, security, accessibility and performance. This is a Supervisory, w2 role.
Your key responsibilities include:
- 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
You will thrive in this role if you possess:
- 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
- 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
Originally posted on Himalayas
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