TRC Companies, Inc.
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Anywhere · Remote · 2-5 Yrs · Sep 3
Business consulting · 5001 to 10000 Employees · Lowell, US
Groundbreaker. Game changer. Pioneer. Since the 1960s TRC has set the bar for clients who require more than just engineering, combining science with the latest technology to devise innovative solutions that stand the test of time. Today we are a global consulting firm providing environmentally advanced and technology-powered solutions for the oil and gas, power and infrastructure markets. TRC’s 5,000 professionals work with a broad range of commercial, industrial and government clients and the communities they serve. We are in search of bright and innovative professionals who want to use their unique talents to solve the challenges of making the Earth a better place – community by community and project by project. Interesting, meaningful work is just the beginning of what’s special about a career at TRC. With over 120 offices and a wide variety of clients across the globe, TRC is focused on providing opportunities for employees to move and grow within different areas of the company.
Hiring: Engineering
What employees say
+ Good clients with great exposure of work
− Lots of politics while getting work
More reviews on the company profile.
Interview experience · Consultant
It was good and easy. I have been asked to create a presentation. Waiting for result. Most of the questions were related to my domain and there will be another round after it
Average difficulty · India · 3 reports
More interview insightsJob description
Overview
TRC, Member of WSP, is a global consulting environmental and engineering firm and one of the top design firms in the energy sector.
Responsibilities
- Develop and implement AI/ML solutions using Python for Telecom Network Operations use cases.
- Perform image analysis to identify, classify, and detect telecom network assets, infrastructure, defects, or operational issues.
- Work with customer-specific datasets, including:
- Data collection and preparation
- Data cleaning and preprocessing
- Image annotation and augmentation
- Feature engineering and analysis
- Train, evaluate, fine-tune, and optimize AI/ML models based on business and customer requirements.
- Develop end-to-end AI model development pipelines, from data preparation through model deployment.
- Build and expose trained AI models as REST APIs/services for consumption by third-party and enterprise systems.
- Integrate AI/ML solutions with existing Telecom OSS, network management, GIS, or other operational platforms.
- Work with RAG (Retrieval-Augmented Generation) techniques for AI applications involving enterprise knowledge and documentation.
- Apply appropriate Machine Learning algorithms based on business problems and available data.
- Use Python libraries such as NumPy and Pandas for data processing, analysis, and model preparation.
- Work with modern Large Language Models (LLMs) such as:
- OpenAI
- Google Gemini
- Anthropic Claude
- Llama etc.
- Participate in technical discussions with customers and internal teams.
- Understand customer business requirements and translate them into appropriate AI/ML technical solutions.
Qualifications
- Bachelor’s degree Computer Science, or a related field.
- Strong programming skills in Python.
- Knowledge of Machine Learning and Deep Learning algorithms.
- Hands-on exposure to Object Detection and Image Analysis.
- Knowledge of Mask R-CNN or similar object detection/segmentation models.
- 2+ years of overall experience in AI/ML or software development.
- NumPy
- Pandas
- Data preprocessing and analysis
- Knowledge of LLMs, including OpenAI, Gemini, and/or Claude.
- Basic understanding of model training, testing, evaluation, and fine-tuning.
- Understanding of the complete AI/ML lifecycle:
- Understanding of telecom infrastructure such as:
- Towers and poles
- Fiber networks
- Network equipment
- Field infrastructure
- Exposure to AI frameworks such as PyTorch or TensorFlow.
- Knowledge of cloud-based AI services or model deployment platforms.
- Familiarity with MLOps concepts is an added advantage.
- Ability to clearly explain technical concepts to customers and business teams.
- Ability to prepare clear technical and functional documentation.
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Job application FAQ
Last updated 18 September 2026
- How do I apply for AI/ML Developer (Telecom Network Operations) at TRC Companies, Inc.?
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- Is AI/ML Developer (Telecom Network Operations) remote or on-site in Anywhere?
- This listing is marked remote with location Anywhere. Confirm details on the job description before applying.
- What skills matter for this AI/ML Developer (Telecom Network Operations) role at TRC Companies, Inc.?
- This is a mid-level AI/ML Developer (Telecom Network Operations) role. Key skills include Remote. Feedback AI highlights matched vs missing skills on your profile after signup.