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Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformPythonPyTorchScikit-LearnTensorflow
About the role
Key responsibilities & impact- Lead a multidisciplinary team of machine learning engineers, data scientists, software engineers, and MLOps/DevOps specialists
- Design, build, deploy, and maintain AI/ML systems
- Lead, mentor, and grow AI/ML engineers, software developers, and MLOps engineers
- Conduct performance evaluations, provide coaching, and oversee career development
- Foster innovation, technical excellence, collaboration, and continuous learning
- Oversee AI/ML system and pipeline architecture for scalability, security, and enterprise alignment
- Collaborate with data engineering to ensure infrastructure supports AI/ML applications
- Partner with AI Product Owners and Solution Managers to translate business requirements into technical roadmaps
- Manage project timelines, scope, risks, and dependencies
- Oversee model development, versioning, testing, validation, and deployment best practices
- Define and enforce engineering standards for code quality, documentation, and development tools
- Communicate progress, challenges, and technical decisions to leadership and stakeholders
- Ensure scalable, secure, and maintainable infrastructure for AI applications
- Establish and champion MLOps practices including ML CI/CD pipelines, automated testing, model registry, monitoring, and versioning
- Ensure AI systems meet security, privacy, and compliance requirements
- Promote responsible AI practices concerning fairness, transparency, and auditability
Requirements
What you’ll need- Bachelor’s degree in computer science, Data Science, Engineering, or related field, or equivalent experience
- 5+ years of experience in software engineering, AI/ML engineering, or related domains
- 2+ years leading technical development or engineering teams
- Hands-on experience with AI tools, including Claude, Copilot, and Gemini
- Experience with cloud platforms such as Azure, AWS, or GCP and/or managed AI/ML services
- Ability to travel up to 10% domestically and internationally
- Master’s degree in computer science, Data Science, Engineering, or related field preferred
- Proficiency in Python and frameworks such as TensorFlow, PyTorch, and Scikit-learn preferred
- Deep technical expertise balanced with a practical delivery mindset
- Strong problem-solving, communication, and architectural thinking
- Comfort working in ambiguous environments with emerging technologies
Benefits
Comp & perks- Competitive base salary
- Annual merit review performance rewards
- Medical insurance plans
- Dental coverage
- Vision coverage
- Employee Assistance Program
- Profit-sharing retirement plan
- Tuition reimbursement
- Employee resource groups
- Recognition programs
- Flexible time off plans
- Paid parental leave (maternal and paternal)
- Vacation leave
- Holiday leave
- Mentorship, training, and leadership opportunities
- Flexible benefits plans supporting physical, mental, financial, and social needs
- Work-life balance