Senior AI/ML Engineer
Synechron
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Pittsburgh, PA
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Mid-Senior level
Posted April 17, 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 Requirements:
Commitments
A multinational organization with 60 offices in 20 countries and the possibility to work abroad.
10 days of paid annual leave (plus sick leave and national holidays).
Maternity & paternity leave plans.
A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region).
A higher education certification policy.
Commuter benefits (varies by region).
Not Met Priorities
What still needs stronger evidence
Requirements
- 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 We offer:
Preferred Skills
- Experience with deep learning, neural networks, transformers, or LLM-based approaches We offer:
Education
- (Not required) – A higher education certification policy.
We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 16,400+, and has 60 offices in 20 countries within key global markets. Our challenge 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. Additional Information* The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Pittsburgh, PA is $100k - $115k/year & benefits (see below). The Role 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 Requirements:
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 We offer:
A highly competitive compensation and benefits package.
A multinational organization with 60 offices in 20 countries and the possibility to work abroad.
10 days of paid annual leave (plus sick leave and national holidays).
Maternity & paternity leave plans.
A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region).
Retirement savings plans.
A higher education certification policy.
Commuter benefits (varies by region).
Extensive training opportunities, focused on skills, substantive knowledge, and personal development.
On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses.
Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups.
Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms.
A flat and approachable organization.
A truly diverse, fun-loving, and global work culture. S YNECHRON’S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.
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 Requirements:
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 We offer:
A highly competitive compensation and benefits package.
A multinational organization with 60 offices in 20 countries and the possibility to work abroad.
10 days of paid annual leave (plus sick leave and national holidays).
Maternity & paternity leave plans.
A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region).
Retirement savings plans.
A higher education certification policy.
Commuter benefits (varies by region).
Extensive training opportunities, focused on skills, substantive knowledge, and personal development.
On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses.
Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups.
Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms.
A flat and approachable organization.
A truly diverse, fun-loving, and global work culture. S YNECHRON’S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.