Articul8 AI is looking for an AI/ML Manager to guide a high-performing team, shape the technical roadmap, and deliver impactful Generative AI solutions for global organizations, helping them unlock new value from their data and achieve measurable impact.
Requirements
- Deep understanding of modern ML/AI techniques (e.g., deep learning, transformers, reinforcement learning) and proficiency with frameworks such as TensorFlow, PyTorch.
- Experience with cloud platforms (AWS, GCP, Azure) and MLOps best practices/tools for model orchestration, deployment, continuous integration, and monitoring.
- Strong coding skills, at least in Python, and familiarity with containerization (Docker, Kubernetes) and data engineering pipelines is a plus.
- Proven track record successfully building, deploying, and scaling machine learning systems in production environments.
- 5+ years of professional experience in software engineering, machine learning, or applied AI, including at least 3 years in a leadership or management capacity.
- Strong organizational skills with proven experience managing multiple complex AI/ML projects and priorities in dynamic environments.
- Excellent communication and collaboration skills for cross-functional teamwork and translating technical AI/ML concepts into business impact.
Responsibilities
- Define and enforce best practices for the full ML lifecycle, including experimentation, code reviews, reproducibility, deployment pipelines, monitoring, and MLOps.
- Own the technical roadmap for AI/ML capabilities, ensuring alignment with long-term product strategy while rapidly adapting to research findings and market shifts.
- Drive translation of applied research into production-ready solutions, balancing cutting-edge innovation with pragmatic delivery at startup speed.
- Establish team processes for prioritization, planning, and technical guidance to optimize execution speed while ensuring reliability, scalability, and quality.
- Promote a data-driven culture by defining success metrics and KPIs, ensuring technical outputs are measurable, impactful, and tied to business outcomes.
- Contribute hands-on to technical architecture, model design, and code reviews where appropriate, while balancing technical leadership and management responsibilities.
- Advocate for responsible and ethical AI practices, ensuring compliance with organizational policies and industry standards.
Other
- Lead, mentor, and grow a high-performing team of AI/ML engineers, fostering a culture of innovation, technical excellence, and continuous learning.
- Collaborate cross-functionally with Customer Success, Product Management, Engineering, and Business Development to scope, prioritize, and align AI/ML initiatives with core business objectives.
- Candidates must have experience leading teams of both junior and senior engineers across multiple parallel projects in a fast-paced environment.
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related technical field; PhD preferred for deeper research leadership.
- Exceptional communication and collaboration skills to work cross-functionally, translate technical concepts clearly, respect diverse perspectives, and effectively lead distributed or hybrid AI/ML teams in fast-paced environments.
