Senior AI/ML Engineer
Pyramid Technology Solutions
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Pittsburgh, PA
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Mid-Senior level
Posted April 5, 2026
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Responsibilities
Commitments
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 Required Skills & Experience
- Experience in AI/ML, Data Science, or Advanced Analytics
Commitments
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.
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Requirements
- Work with large-scale structured and unstructured datasets
- 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 Required Skills & Experience
- 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
Preferred Skills
- 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
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 Required Skills & Experience
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
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 Required Skills & Experience
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