AI Solutions Developer

Overview

Develop and deploy AI/ML solutions and production software for energy sector.

Key Responsibilities

• automation
• code development
• ml modeling
• cloud integration
• testing
• documentation

Tasks

-Identify and automate repetitive business processes, boosting productivity and reliability across teams -Develop production-grade code for automation, analytics, and user interfaces, ensuring scalability, reliability, and maintainability -Engage with a collaborative team that is dedicated to making a meaningful impact in the energy sector. -Translate business requirements into technical specifications, collaboratively develop project plans, and iterate on prototypes or proofs-of-concept -Ensure robust, high-quality data for model training and software features by building in validation checks and monitoring systems -Follow a disciplined software development lifecycle (SDLC): requirements analysis, design, development, testing, deployment, and maintenance -Participate in regular code/design reviews with peers, providing and receiving constructive feedback for continuous improvement -Act as a bridge between technical and non-technical teams, helping stakeholders understand how software and AI solutions deliver business value -Educate non-technical users on AI and software capabilities, application best practices, and the responsible use of technology -Lead or participate in post-mortems to identify root causes of incidents and implement lessons learned in future software releases -Design and implement automation solutions (RPA, scripts, workflow tools) -Build, fine-tune, and maintain machine learning models using frameworks such as TensorFlow, PyTorch, or scikit-learn -Use rigorous software development practices—clear source control (Git), code review cycles, effective documentation, modular code organization, and adherence to coding standards -Stay current on evolving trends in AI, machine learning, cloud, and software engineering; propose new tools and methodologies to improve team output -Contribute to the selection, integration, and long-term maintenance of cloud-based AI and software services, prioritizing security and system performance -Maintain high standards in source code management, branching, and merging strategies using Git -Work closely with engineers, analysts, and IT to identify business problems that can be solved through AI or enhanced by software applications -Participate actively in agile sprint planning, collaborating across functions to align software releases with business needs -Support responsible AI and software principles, including transparency, data privacy, and bias mitigation -Support leadership in strategic planning through technical insights from prototypes, pilots, and production deployments -Implement robust automated testing (unit, integration, system tests) for both AI and broader software solutions, contributing to high code quality and continuous delivery -Contribute to thorough documentation of code, features, APIs, and systems for transparency, maintainability, and knowledge transfer -Document model lineage, decision processes, and software dependencies; continually validate performance against business objectives -Assist in the research, design, and end-to-end development of AI solutions and software applications for internal and client-facing needs -Share AI and software development best practices with colleagues, contributing to mentoring and team-wide knowledge growth

Requirements

• bachelor's degree
• 2+ years
• python
• tensorflow
• ci/cd
• git

What You Bring

-Understanding of machine learning workflow: data preparation, model training, evaluation, and deployment, alongside best practices in software delivery -Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field -Demonstrated experience with major AI/ML frameworks (TensorFlow, PyTorch, scikit-learn, etc.) and hands-on software engineering (Python preferred) -Exposure to agile development methodologies (Scrum, Kanban), CI/CD practices, and collaborative development environments -Basic experience deploying cloud services and APIs for AI workloads (AWS, Azure, or Google Cloud) -Experience writing and maintaining automated tests, debugging, and software troubleshooting -Ability to adapt to evolving technology landscapes and work collaboratively in multidisciplinary teams -Strong attention to detail with proactive problem-solving skills -Familiarity with professional software development workflows: Git-based source control, branching strategies, code review, and effective team collaboration on shared codebases -2+ years of experience developing and deploying AI/ML solutions and production software -FSA & HSA -Excellent communication skills for explaining technical information to both technical and non-technical audiences

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Benefits

-Life & Accident Insurance -Health Plans: Medical, Dental, Vision -Disability Coverage -Paid Parental Leave -Work in an established company that values innovation and growth. -Back-Up Daycare -Employee Referral Bonus -Employee Assistance Program (EAP) -Corporate Charitable Giving Program -Pre-Tax Commuter Account -Flexible Work Arrangements -Paid Bereavement Leave -First Professional Licensure Bonus -Employee Discount Program -Gain exposure to cutting-edge projects and contribute to data-driven decision-making processes. -Tuition Assistance -Paid Annual Personal/Sick Time (PST) -Paid Holidays -Paid Vacation -Merit Scholarship Program

About Sargent & Lundy

-The company specializes in providing innovative solutions across the energy and industrial sectors. -With a rich legacy, Sargent & Lundy has delivered high-impact projects for utilities, government entities, and large industrial clients. -Notable projects include power plants, renewable energy installations, and water treatment facilities. -The firm is recognized for its expertise in energy transition solutions, especially in nuclear, solar, and wind sectors. -Their global reach includes both large-scale infrastructure projects and localized service offerings tailored to specific industries. -Sargent & Lundy thrives on providing full-service capabilities, from design and planning to construction and operations. -The company’s engineering prowess is often highlighted by its deep involvement in complex energy systems and environmental solutions.

Sector Specialisms

Visa Sponsorship

-no visa sponsorship will be provided.