AI/ML Full Stack Developer
Englewood
Englewood, CO 80112
Salary: 90,000 - 110,000 USD / YEAR
CONSTRUCT YOUR CAREER WITH MEARS AND BUILD AMERICA'S FUTURE
Are you looking for your next big opportunity? At Mears Group we offer more than just a job.
We offer a career where you can grow, innovate, and make a real impact.
Mears Group, Inc., a Quanta Services company, is a leader in the construction and infrastructure industry. With more than 50 years of experience, we are committed to safety, quality, and integrity. We bring together people and resources to build the framework that powers our nation.
AI/ML Developer - Full Stack
We're seeking an experienced AI/ML Full Stack Developer to design and deploy intelligent systems that drive real business impact. You'll work with ChatGPT, Gemini, and Claude, build and fine-tune models using PyTorch or TensorFlow, and manage the full AI lifecycle-from data engineering to deployment. Ideal candidates bring 5+ years of full stack development, 1-3 years of Machine Learning experience, cloud expertise in Azure or AWS, and knowledge of data pipelines and vector databases like Pinecone or FAISS. Join us to shape how AI transforms operations and performance.
WHY JOIN MEARS?
Build America: Mears is a leading provider of engineering and construction solutions in oil and gas, electric transmission and distribution, telecom, and wastewater industries across North America.
Professional growth: ?Mears offers comprehensive training programs and career advancement pathways.
Competitive compensation: ? Enjoy competitive wages and excellent benefits.
Community impact: We give back to the communities we serve.
SAFETY THAT BRINGS YOU HOME:
At Mears, safety is our utmost priority. We are at the forefront of enhancing safety outcomes for both our employees and clients. We empower our workers to take ownership of their own safety. The Capacity Model is designed to minimize the risk of accidents and injuries.
BENEFITS & COMPENSATION:
Despite our size, Mears remains a family company. Our suite of benefits reflects our commitment to our employees.
Salary info: $90,000.00 to $110,000.00 per year, paid semi-monthly
Job @type: full time
Paid on-the-job technical and professional growth opportunities
Established career path for future advancement
401k and Roth 401(k) retirement savings plans
Health, prescription, dental, vision plans
Life & Disability Insurance plans
Financial wellness program
Employee assistance program
Employee discount programs
ESSENTIAL DUTIES:
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.
Proto@type, 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.
Build and manage data pipelines and ETL workflows to collect, clean, and transform enterprise data from systems such as Spectrum, Prophix, and EcoSys.
Integrate AI microservices into ERP systems and dashboards (e.g., Primavera P6, Incorta) to drive data-driven insights.
Implement retrieval-augmented generation (RAG) using vector databases (Pinecone, FAISS, Weaviate) for @contextualized AI applications.
Manage the ML lifecycle, including monitoring, retraining, optimization, and ensuring model reliability and security.
Evaluate and integrate third-party AI tools and vendors to accelerate deployment and adoption.
Track KPIs and performance metrics to measure business impact and guide continuous improvement.
Foster collaboration across field, corporate, and IT teams to embed AI into daily operations.
Perform other duties as assigned
KEY QUALIFICATIONS:
Bachelor's degree in Computer Science, Data Science, or a related field (preferred).
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).
Cloud certifications such as Microsoft Azure AI Engineer, AWS Machine Learning Specialty, or equivalent preferred
MLOps or Data Engineering certifications preferred
Programming: Proficiency in Python, object-oriented programming (OOP), modular design, and test-driven development (TDD).
AI/ML Frameworks: Expertise in PyTorch and/or TensorFlow for model development, training, and deployment.
LLMs & Tools: Experience with ChatGPT, Gemini, Claude, Copilot, and other large language model APIs.
Cloud & MLOps: Skilled in Azure ML, MLflow, or AWS SageMaker for model deployment and lifecycle management.
Data Engineering: Strong skills with SQL/NoSQL databases, ETL workflows, data pipelines, and tools like Apache Airflow and Apache Spark.
Vector Databases & RAG: Experience with Pinecone, FAISS, or Weaviate for retrieval-augmented generation and @contextual AI.
Advanced AI Techniques: Proficiency in fine-tuning, parameter-efficient tuning (PEFT), transfer learning, low-rank adaptation (LoRA), reinforcement learning, and RAG pipelines.
Enterprise Systems : Familiarity with Spectrum, HCSS, Oragami, Prophix, Onestream, Power BI, Cozys, Primavera P6, Incorta, or Bid2Win.
Data Analysis: Ability to perform model evaluation, statistical analysis, and data visualization to assess performance and business impact.
The physical activity and work environment for this role includes
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
Lift and carry office equipment
Pass pre-employment drug screen and background check
This role is accepting applications until November 30th
This position is subject to the Federal Department of Transportation (DOT) drug & alcohol testing regulations as outlined in 49 CFR Part 382 and/or 49 CFR Part 199.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Equal Opportunity Employer, including disabled and veterans.
Equal Opportunity Employer, including disabled and veterans.
