AI / ML Engineer

About the role

As an AI/ML Engineer, you’ll lead the creation of cutting-edge machine learning systems, transforming complex data into powerful, scalable AI solutions that drive our AI Co-Worker platform’s impact across industries.

Requirements

• Design, build, and deploy scalable ML systems that power our core product.
• Own end-to-end development: problem formulation, data pipelines, model training, evaluation, and production deployment.
• Collaborate with product and engineering to translate business goals into ML solutions.
• Evaluate and apply state-of-the-art techniques in LLMs, deep learning, classical ML, and generative AI.
• Establish best practices for model reproducibility, monitoring, and performance tracking.
• Build and scale our MLOps infrastructure (training pipelines, experiment tracking, deployment tooling).
• Recruit and mentor future ML/AI hires and help grow the team and culture.

Qualifications

• 8+ years of experience in Artificial Intelligence, Machine Learning and Software Engineering.
• Strong foundation in ML/DL algorithms, statistical modeling, and data processing.
• Deep experience with modern ML/DL frameworks (e.g., PyTorch, TensorFlow, JAX).
• Hands-on experience with LLMs, transformers, or other foundation models.
• Proven experience building and deploying production-grade ML systems.
• Strong software engineering skills (Python, APIs, cloud infra, containerization).
• Familiarity with ML pipelines and platforms (e.g., Airflow, MLflow, SageMaker, Vertex AI).
• Startup mindset: ownership, bias for action, comfort with ambiguity, and a builder mentality.
• Degree in Computer Science, Machine Learning, Mathematics, or related field.

Desired Skills

• Computer Science PhD or MS preferred (but not required with equivalent experience).