Mears Group is seeking an AI/ML Full Stack Developer to design and deploy intelligent systems that drive real business impact and transform operations and performance in the construction and infrastructure industry.
Requirements
- 5+ years in full stack software development and AI/ML engineering.
- 1–3 years of hands-on experience building and deploying ML models.
- 5–10 years of experience with major cloud platforms (Azure preferred, AWS acceptable).
- Proficiency in Python, object-oriented programming (OOP), modular design, and test-driven development (TDD).
- Expertise in PyTorch and/or TensorFlow for model development, training, and deployment.
- Experience with ChatGPT, Gemini, Claude, Copilot, and other large language model APIs.
- Skilled in Azure ML, MLflow, or AWS SageMaker for model deployment and lifecycle management.
Responsibilities
- Design, build, and deploy intelligent AI systems that enhance operational efficiency and create competitive differentiation.
- Collaborate with the Director of AI/ML, architects, and business units to align AI initiatives with organizational goals.
- Partner with IT and operations teams to identify, develop, and implement automation and AI opportunities.
- Gather and translate requirements from stakeholders into scalable technical solutions.
- Prototype, test, and scale AI-powered applications and proof-of-concepts that improve workflows in EPC and utility contracting environments.
- Develop and fine-tune models using frameworks like PyTorch or TensorFlow; deploy via Azure ML, MLflow, or AWS Sagemaker.
- Leverage LLMs (ChatGPT, Gemini, Claude, Copilot) to accelerate software development and enhance decision support tools.
Other
- Bachelor’s degree in Computer Science, Data Science, or a related field (preferred).
- Pass pre-employment drug screen and background check
- Travel as needed
- Standing, sitting and walking for prolonged periods of time in an office environment
- Manual dexterity in the use of computers and other equipment
