This description is a summary of our understanding of the job description. Click on ‘Apply’ button to find out more.
Role Description
The Advanced AI/ML Engineer is responsible for building and deploying new AI systems that advance MiTek’s software and hardware products. This role will be hands-on in prototyping ideas and will collaborate cross-functionally from initial concept to full production implementation.
- Develop comprehensive systems and frameworks for AI applications and products.
- Supervise and sustain AI systems in production to guarantee consistent model accuracy and reliability.
- Develop POCs and prototypes (including data explorations) in a fast-paced environment to ensure feasibility, scalability, and accuracy of algorithms and models.
- Research and implement state-of-the-art data science techniques for modeling and algorithm development.
- Lead complex end-to-end projects using structured and unstructured data types, including time series data sources.
- Lead, mentor, and coach junior members of the AI team on AI/ML and industry best practices and methodologies, fostering their professional growth.
- Manage and prioritize multiple projects, ensuring they are completed on time.
- Create advanced data visualizations and dashboards to communicate effectively.
- Collaborate with cross-functional teams of engineers, product managers, and researchers to deliver high-quality products and services.
- Stay updated with the latest developments and trends in computer vision and artificial intelligence.
- Attend meetings with customers and cross-functional departments to understand project needs and requirements, collect data sets, and assist with converting business requirements into technical specifications.
- Educate and evangelize the use of AI among internal and external stakeholders.
Qualifications
- Bachelor’s degree in a relevant field (e.g., Statistics, Data Science, Computer Engineering) required; Master’s degree preferred.
- Equivalent combination of experience and education which clearly indicates the ability to perform the essential functions of the position may substitute on a year for year basis.
- 5+ years of experience building and deploying AI/ML solutions in areas such as NLP, computer vision, or deep learning.
- Proven track record delivering production-grade AI/ML models, including scalable data pipelines and monitoring systems.
- Experience building AI systems for external customer-facing products.
- Hands-on experience with MLOps (e.g., model versioning, deployment, orchestration, monitoring) and tools like Azure ML, SageMaker, MLflow, or Airflow.
- Proficiency in Python and SQL, with experience using frameworks and libraries such as TensorFlow, PyTorch, Keras, Scikit-learn, NumPy, Pandas, OpenCV, and Docker.
- Strong grasp of statistical modeling and machine learning techniques.
- Experience deploying models on cloud platforms (Azure, AWS, or GCP).
- Strong communicator with the ability to explain technical concepts to non-technical audiences.
- Demonstrated leadership, mentorship, and business acumen.
Benefits
- Generous time off including Paid Time Off, 13 annual holidays, and volunteer time off.
- Day One Medical/Rx, Dental and Vision Plans.
- Family friendly benefits including Paid Caregiver Leave, Paid Parental Leave and Adoption Reimbursement.
- Performance/Incentive bonuses.
- Career advancement, training opportunities, Employee Resource Groups, and tuition reimbursement.
- Retirement programs including Matching 401(k) Contributions and Profit Sharing.
- Employer paid Short-Term Disability, Long-Term Disability and Life Insurance.
- myFlexPay partner – allows you to track, manage and access your pay anytime.