What are the responsibilities and job description for the Senior AI/ML Engineer position at Jobs via Dice?
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Pyramid Technology Solutions, Inc., is seeking the following. Apply via Dice today!
Note: Due to client compliance requirements, we are unable to accept third-party or C2C (Corp-to-Corp) resumes for this role. Additionally, candidates requiring sponsorship now or in the future will not be considered
Title:- Senior AI/ML Engineer
Location:- Pittsburgh, PA (onsite)
Duration:- 12 Months
Role Summary
We are seeking a Senior AI/ML Engineer to design, build, and deploy scalable machine learning solutions that drive business outcomes. The role involves end-to-end ownership of ML models, collaboration with data, platform, and business teams, and mentoring junior engineers.
Key Responsibilities
Note: Due to client compliance requirements, we are unable to accept third-party or C2C (Corp-to-Corp) resumes for this role. Additionally, candidates requiring sponsorship now or in the future will not be considered
Title:- Senior AI/ML Engineer
Location:- Pittsburgh, PA (onsite)
Duration:- 12 Months
Role Summary
We are seeking a Senior AI/ML Engineer to design, build, and deploy scalable machine learning solutions that drive business outcomes. The role involves end-to-end ownership of ML models, collaboration with data, platform, and business teams, and mentoring junior engineers.
Key Responsibilities
- Design, develop, and deploy machine learning and deep learning models for production use
- Translate business problems into AI/ML solutions with measurable impact
- Perform data analysis, feature engineering, model training, validation, and tuning
- Build and maintain ML pipelines (MLOps) for training, deployment, monitoring, and retraining
- Work with large-scale structured and unstructured datasets
- Collaborate with product, engineering, data, and cloud teams
- Ensure model performance, scalability, security, and compliance
- Mentor junior ML engineers and review technical designs and code
- Contribute to AI best practices, standards, and reusable frameworks
- Experience in AI/ML, Data Science, or Advanced Analytics
- Strong hands-on experience with Python and ML libraries (TensorFlow, PyTorch, Scikit-learn)
- Solid understanding of ML algorithms: regression, classification, clustering, NLP, time series
- Experience with deep learning, neural networks, transformers, or LLM-based approaches