will be responsible for defining, building, and scaling cutting-edge AI/ML solutions that drive significant business impact. You will lead a high-performing team of AI and Machine Learning Engineers, fostering a culture of innovation, technical excellence, and continuous delivery. This role requires a strategic leader with deep technical expertise in AI/ML, MLOps, and cloud platforms, coupled with exceptional leadership and communication skills.
The preferred candidate will sit at our corporate office in Atlanta; however, we are open to candidates located outside of the area to work remotely.
The target starting rate is $130K, actual salary will be determined based on experience.
What You’ll Do
Strategic Leadership:
Define and execute the AI/ML engineering strategy and roadmap, ensuring alignment with overall business objectives and product vision.
Team Management & Development:
Build, mentor, and lead a world-class team of AI/ML engineers, fostering a collaborative, inclusive, and high-performing environment. Drive professional growth and technical excellence within the team.
Architectural Guidance:
Oversee the design, development, and scaling of robust, reliable, and secure AI systems and infrastructure, ensuring seamless integration into existing platforms.
Solution Delivery:
Guide teams in the end-to-end lifecycle of AI/ML solutions, from research and prototyping to production deployment, monitoring, and optimization.
Cross-functional Collaboration:
Partner closely with product management, data science, engineering, and business leadership to identify opportunities, define requirements, and deliver impactful AI-driven features and products.
Innovation & Best Practices:
Champion a culture of experimentation, rapid prototyping, and continuous learning. Stay abreast of industry trends, emerging AI technologies (e.g., Generative AI, LLMs), and MLOps best practices, integrating them where appropriate.
Quality & Governance:
Implement rigorous testing, monitoring, and validation processes for AI models. Ensure compliance with data governance, privacy, and ethical AI standards.
What We’re Looking For
Education:
Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field. (Ph.D. preferred).
Experience:
12+ years of progressive experience in software or AI/ML engineering, with at least 5+ years in a leadership role managing and scaling engineering teams (preferably 10+ engineers).
Proven track record of successfully leading the design, development, and deployment of complex, production-grade AI/ML solutions.
Technical Skills:
Machine Learning Expertise:
Deep understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning), deep learning architectures, and natural language processing (NLP).
Programming Proficiency:
Expert-level proficiency in Python and relevant ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
MLOps & DevOps:
Extensive experience with MLOps practices, including CI/CD pipelines for ML models, model versioning, monitoring, automated retraining, and experiment tracking.
Cloud Platforms:
Hands-on experience with major cloud AI platforms (e.g., AWS SageMaker, Azure ML, Google Cloud AI Platform) and their associated services.
Data Engineering:
Strong understanding of data processing technologies, large-scale data pipelines, relational and NoSQL databases, and data warehousing concepts.
System Architecture:
Demonstrated ability to design scalable, fault-tolerant, and high-performance distributed systems for AI workloads.
Generative AI:
Experience with Generative AI models, large language models (LLMs), prompt engineering, and fine-tuning techniques is highly desirable.
Strategic Thinking:
Ability to translate complex business problems into actionable AI strategies and technical roadmaps.
Exceptional Communication:
Superior verbal and written communication skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders, including executive leadership.
Leadership & Mentorship:
Demonstrated ability to inspire, motivate, and develop high-performing engineering teams. Strong coaching and feedback skills.
Problem-Solving:
Excellent analytical and problem-solving abilities, with a pragmatic approach to delivering solutions in a fast-paced, evolving environment.
Collaboration:
Proven ability to foster strong cross-functional relationships and drive alignment across diverse teams.
Adaptability & Agility:
Comfortable navigating ambiguity and adapting to rapidly changing priorities and technologies within the AI landscape.
What You’ll Get
Up to 40% off any standard Hertz Rental
Paid Time Off
Retirement programs, including 401(k) employer matching
Paid Parental Leave & Adoption Assistance
Employee Assistance Program for employees & family
Educational Reimbursement & Discounts
Voluntary Insurance Programs - Pet, Legal/Identity Theft, Critical Illness
Perks & Discounts – Theme Park Tickets, Gym Discounts & more