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AI Engineer - #2830
AI Engineer - #2830Wade Trim • Pittsburgh, PA, US
AI Engineer - #2830

AI Engineer - #2830

Wade Trim • Pittsburgh, PA, US
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Job Description

Job Description

What We Offer :

Our excellent salary and benefits package includes medical, dental, vision, life insurance, short and long-term disability coverage, education reimbursement, 401(k), performance bonuses, and an employee stock program. Employee Resource Groups and Programs offered include the Young Professionals Group, Women at Wade Trim, Diversity, Equity and Inclusion, Professional Development, Leadership Development, Rotation Program, Mentor Program, Sustainability Program, and Wellness Program.

Position Description :

We are looking for an AI Engineer to join our Information Technology Team in our Fort Worth or Pittsburgh office. Candidates must have a Masters in AI in Civil Engineering or in Computer Science with 0-2 years of relevant experience. Candidates must be proficient in Python, R, or similar programming languages. Candidates must have hands-on experience with machine learning algorithms, deep learning techniques, and AI systems. Candidates must also be self-motivated, work well with others, and have excellent writing, organizational, and communication skills. A flexible hybrid-remote work schedule is available after 30 days of employment.

Typical responsibilities include :

  • Research and Development : Research and implement advanced machine learning models and algorithms to solve complex business problems.
  • Model Training and Optimization : Build, train, and optimize AI models (including NLP, computer vision, and other machine learning applications) using data sets from various sources.
  • Data Processing : Collect, preprocess, and analyze large datasets to build AI models and make data-driven decisions.
  • Algorithm Selection : Identify the most appropriate machine learning algorithms for given use cases.
  • AI Deployment : Deploy AI models into production and monitor their performance, making adjustments and improvements as necessary.
  • Collaboration : Work closely with data engineers, data scientists, software developers, and other stakeholders to integrate AI solutions into systems and workflows.
  • Automation : Automate manual tasks by building AI systems that can streamline and optimize processes across the organization.
  • Testing and Validation : Design and execute experiments to validate AI models, ensuring they meet performance and accuracy standards.
  • Staying Updated : Stay informed of the latest developments in AI technologies and continuously improve models and methodologies.
  • Documentation : Maintain clear documentation of AI systems, processes, and projects for easy handover and scalability.
  • Maintain a safe working environment

Education :

  • Masters in AI in Civil Engineering or in Computer Science
  • Skills / Experience :

  • Zero to two years of experience
  • Programming Skills : Strong proficiency in Python, R, or similar programming languages.
  • AI / ML Skills : Hands-on experience with machine learning algorithms, deep learning techniques, and AI systems (e.g., NLP, computer vision, reinforcement learning).
  • Cloud Experience : Familiarity with cloud platforms like AWS, Google Cloud, or Azure for model training and deployment.
  • Data Management : Experience working with large-scale datasets, data wrangling, and data visualization tools.
  • Problem-Solving : Strong analytical and problem-solving skills, with the ability to design innovative AI solutions.
  • Communication : Excellent written and verbal communication skills to present findings and collaborate with diverse teams.
  • Tools and Libraries : Familiarity with AI libraries, tools, and platforms (e.g., Keras, OpenCV, Hugging Face, etc.).
  • About Wade Trim :

    Wade Trim is committed to maximizing the value of infrastructure investments. We’ve been solving complex engineering challenges for nearly a century. We customize our work approach to fit each project using a collaborative, friendly style to deliver solutions our clients can stand behind.

    Our supportive culture recognizes and strives to fulfill collective client, company, and individual needs. Mentoring and building skills of Wade Trim staff is a priority. Frequent interaction among staff is encouraged, company leadership is easily accessible, and opportunities are provided for staff to help shape the firm’s future through strategic planning. Work / life balance is supported through a flexible, hybrid work schedule that brings team members together in the office at least two days a week and connects them virtually when working from home.

    To solve our clients’ toughest challenges, we’ve devoted ourselves to delivering innovative solutions. Our Office of Applied Technology (OAT) is dedicated to seeking new technologies or ways to apply existing technologies to enhance value to our clients and positively impact communities. All staff are encouraged to share ideas and suggestions for innovative technologies or processes to adopt. This open-minded approach enables us to advance technology, foster innovation, and stay ahead of our clients’ needs.

    Wade Trim’s success is shared by the employees that make it happen. Since our beginning, our firm has been 100% employee owned. This cultivates an ownership mindset that benefits our work approach, collaborative culture, and ability to deliver client solutions. We believe employee ownership drives the sustainability and growth of our firm and provides all our employees with opportunities for financial success.

    If you are looking for a challenging and rewarding career in a friendly environment, please submit your resume by visiting the Careers section of our website at http : / / www.wadetrim.com / careers.

    Wade Trim is an Affirmative Action / Equal Opportunity Employer.

    We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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    Ai Engineer • Pittsburgh, PA, US

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