AI Engineer - 2647.08
Pittsburgh, PA
Wade Trim
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
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.).
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Azure Computer Vision Data management Data visualization Deep Learning Engineering GCP Google Cloud Keras Machine Learning ML models Model training NLP OpenCV Python R Reinforcement Learning Research Testing
Perks/benefits: Career development Equity / stock options Flex hours Health care Insurance Startup environment Wellness
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.