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.

Requirements

5+ years of professional experience in software/IT with a focus on artificial intelligence and machine learning
Deep expertise in Python and ML libraries/frameworks such as TensorFlow, 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
Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field (Master’s preferred)

Benefits

Medical/prescription drug coverage
Dental coverage
Vision coverage
Flexible Spending Account
Health Savings Account
Dependent Care Flexible Spending Account
Basic and Supplemental Life Insurance & Accidental Death and Dismemberment
Disability Income Protection Plan
Employee Assistance Program
401(k) retirement program
Vacation
Paid Holidays and Personal time
Paid Sick and Family and Medical Leave time as required by law
Discounted Employee Stock Purchase Program

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonTensorFlowPyTorchScikit-learnMLOpsAPI developmentcontainerizationorchestrationNLPdeep learning

Soft Skills

technical leadershipmentorshipcommunicationcross-functional collaborationstrategic innovationproblem-solvingmodel evaluationiterative improvementstakeholder engagementprioritization

Certifications

Bachelor's degree in Computer ScienceBachelor's degree in Data ScienceBachelor's degree in Artificial IntelligenceMaster's degree in related field