Lead Machine Learning Engineer

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About the Role

This role is ideal for someone who is not only highly technical but also a strong leader and strategic thinker. The ideal candidate is innovative, curious, and willing to think outside the box, with the ability to challenge assumptions and solve complex problems creatively. As a key technical and leadership figure, you will guide teams, influence AI strategy, drive cross‑functional collaboration, and deliver high‑impact AI/ML solutions across GCP, Azure, and IBM environments.

This role requires a critical thinker, proactive problem solver, and effective communicator who can thrive in ambiguous situations and lead others through them.

Responsibilities:

• Lead the design, development, and deployment of advanced AI/ML solutions to solve complex business problems and drive strategic innovation across products and services.
• Provide technical leadership and mentorship to a team of AI/ML engineers and data scientists, guiding best practices in model development, deployment, and lifecycle management.
• Architect scalable AI systems and oversee the integration of machine learning models into production environments in collaboration with engineering, product, and infrastructure teams.
• Drive the development of intelligent chatbots, AI agents, and automation solutions that enhance customer engagement and operational efficiency.
• Establish and enforce robust testing, monitoring, and governance frameworks to ensure models meet standards for accuracy, fairness, transparency, and reliability.
• Continuously monitor model performance post-deployment and lead iterative improvement efforts using real-world data and user feedback.
• Serve as a key technical advisor, communicating complex AI concepts and outcomes to both technical and non-technical stakeholders, and influencing AI strategy across the organization.
• Evaluate emerging AI technologies, tools, and trends, and recommend their adoption to keep the company at the forefront of innovation.

Qualifications:

• Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field (Master’s preferred).

Required Skills:

• 5+ years of professional experience in software/IT with a focus on artificial intelligence and machine learning, including experience in a technical leadership or mentorship capacity.
• Deep expertise in Python and ML libraries/frameworks such as Tensor Flow, PyTorch, and Scikit-learn.
• Strong understanding of machine learning methodologies including supervised/unsupervised learning, model evaluation, hyperparameter tuning, and model interpretability.
• Proven experience leading end-to-end AI solution development from concept through deployment in production environments.
• Familiarity with MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow) for model tracking, deployment, and lifecycle management.
• Proficiency with cloud platforms (GCP, Azure, or AWS), including their AI/ML services and infrastructure.
• Hands-on experience with API development, containerization, and orchestration using tools such as Flask/FastAPI, Docker, and Kubernetes.
• Applied knowledge of NLP, computer vision, or deep learning techniques is a strong advantage.
• Good foundation in mathematics, statistics, and data mining techniques.
• Demonstrated ability to lead cross-functional initiatives, manage priorities, and communicate effectively with diverse stakeholders.
• Must be currently located in the same geographic location as the job or willing to relocate yourself - Required
• Last day to apply is 1/25/2026 at 11:59pm
• Employee Type:
  Permanent

Pay range and compensation package:

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $/year to $/year. Pay is based on several factors including but not limited to, market location and may vary depending on job-related knowledge, skills, and education/training and a candidate’s work experience. Hired applicants are offered annual short-term and/or long-term incentive compensation programs, subject to applicable eligibility requirements.

Payments under these annual…