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MiTek · 1 month ago

Advanced AI/ML Engineer

United States

Full-time

Remote

Senior Level

5+ years exp

MiTek is a platform innovator and enabler that transforms the building industry with better building solutions. The Advanced AI/ML Engineer is responsible for building and deploying new AI systems, collaborating cross-functionally from concept to full production, and developing scalable machine learning and deep learning solutions.

ComputerManufacturingRoboticsSoftware

No H1B

Responsibilities

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

Qualification

AI/ML solutionsMLOpsPythonStatistical modelingCloud platformsData visualizationDeep learningNLPLeadershipCommunication

Required

Must be authorized to work in the United States without visa sponsorship

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