Senior Director - AI/ML Engineering

Job Description Job Description Senior Director of AI/ML Engineering, you will lead a high-performing team of engineers and data scientists, blending strategic vision with hands-on technical leadership. Working at the critical intersection of business needs and technological opportunities, you will prototype, iterate, scale, and deploy transformative AI solutions. This is your chance to redefine how AI can empower teams, solve challenges, and drive data-driven decision-making within an organization committed to innovation. What You’ll Be Responsible For: Set Strategic AI/ML Direction Shape the vision and roadmap for AI/ML initiatives, focusing on practical implementation and iterative experimentation. Pinpoint key opportunities where AI can drive efficiency, precision, and automation. From Concept to Scale Lead the development of prototypes, proof-of-concepts, and lightweight solutions, transforming them into scalable, production-grade systems. Design and oversee AI/ML architectures that seamlessly grow and adapt to enterprise-level needs. Collaborate to Solve Business Challenges Work closely with cross-functional partners, including product, operations, and business teams, to identify challenges and embed AI-driven solutions. Leverage advanced methodologies like machine learning, generative AI, and NLP to translate business problems into innovative technical solutions. Deliver Real-World AI Impact Address complex business problems such as forecasting, optimization, automation, and personalized engagement through applied AI. Promote data-centric thinking and operationalize intelligent systems across teams through collaborative demonstrations and strategic guidance. Cultivate Team Excellence and Innovation Build and lead a diverse team of engineers and data scientists, fostering a collaborative and high-performing culture. Encourage creativity, experimentation, and continuous learning to inspire breakthroughs and innovation. Advanced degree (Master’s or higher) in Computer Science, Data Science, Engineering, or a similar technical discipline. 10 years of professional experience in software engineering, applied machine learning, or advanced analytics roles. Proficiency with machine learning frameworks such as PyTorch, TensorFlow, or MLFlow, and programming expertise in Python or comparable languages. Demonstrated success in transitioning AI solutions from initial concept to production, particularly in fast-paced, iterative environments. Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud. Strong communication skills with the ability to engage and inspire both technical and non-technical stakeholders. Additional Preferred Experience: PhD or significant research background in machine learning, natural language processing, or related AI fields. Expertise with real-time processing systems, large-scale data operations, or multimodal AI applications integrating diverse data forms (e.g., text, images, time series). Knowledge of end-to-end AI deployment practices, including DevOps or MLOps workflows. History of innovative contributions, such as working in startups, receiving patents, contributing to open-source projects, or creatively applying AI in new ways.

Location: Avon, AL, US

Posted Date: 6/18/2025