About the role

Lead technical development of scalable AI systems for an IT services company. Provide mentoring and guidance for engineers in a remote work environment.

Responsibilities

Define architecture and technical roadmap for scalable AI systems aligned with business objectives.
Provide technical leadership and mentorship to AI and Machine Learning engineers.
Design and implement machine learning infrastructure, including data pipelines, model training, and deployment workflows.
Ensure engineering best practices such as testing, CI/CD pipelines, and code review standards.
Lead project planning and execution, managing priorities, timelines, and deliverables in a remote environment.
Collaborate with product, data science, and DevOps teams to align AI solutions with product and business goals.
Evaluate and integrate new AI/ML frameworks, tools, and technologies to improve system performance and innovation.
Monitor system health and model performance, ensuring scalability, reliability, and accuracy.
Foster a culture of continuous improvement, knowledge sharing, and technical growth within the team.

5+ years of professional experience in software engineering, including 2+ years in a technical lead or leadership role.
Hands-on experience building AI/ML infrastructure, including model training, deployment, and MLOps pipelines.
Strong programming expertise in Python with familiarity in TypeScript.
Experience designing scalable distributed systems and data pipelines.
Strong understanding of machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
Experience working with cloud platforms such as AWS, GCP, or Azure.
Familiarity with Docker, Kubernetes, and CI/CD best practices.
Excellent communication, leadership, and collaboration skills, especially in distributed teams.
Strong problem-solving and debugging skills for complex systems.
Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent practical experience).