Lead Artificial Intelligence Engineer - Deep Learning

We are looking for a visionary and technically skilled Lead AI Engineer Machine Learning to spearhead the design, development, and deployment of advanced machine learning solutions.

In this leadership role, you will guide a team of AI / ML engineers, contribute hands-on to critical technical challenges, and collaborate with cross-functional teams to deliver impactful AI products.

This role is ideal for someone who thrives at the intersection of innovation, engineering rigor, and business Responsibilities :

• Technical Leadership : Lead the architecture, development, and deployment of machine learning models and AI systems across a range of use cases.
• Model Development : Design, train, and optimize supervised, unsupervised, and deep learning models using frameworks like PyTorch, TensorFlow, and XGBoost.
• Mentorship : Coach and mentor a team of ML engineers and data scientists; foster a culture of innovation, ownership, and continuous learning.
• Project Management : Drive planning, execution, and delivery of AI / ML projects, ensuring alignment with business objectives and technical feasibility.
• System Design : Architect scalable, secure, and high-performance ML pipelines and services using cloud-native tools and MLOps best practices.
• Collaboration : Work closely with product managers, data engineers, and DevOps teams to translate business problems into AI-driven solutions.
• Code Quality & Governance : Establish standards for model quality, reproducibility, documentation, versioning, and monitoring.
• Innovation : Stay current with research and industry trends in ML / AI, evaluate new tools, and introduce state-of-the-art solutions where Skills and Experience :
• Education : Bachelors or Masters in Computer Science, Machine Learning, Data Science, or related technical field
• Experience : 610+ years of experience in software engineering or AI / ML, with at least 2+ years in a technical leadership role

Technical Expertise :

(ref : hirist.tech)