Mid-Senior level
Posted March 14, 2026
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Responsibilities
Commitments
Responsibilities
- Develop and deploy machine learning models using TensorFlow, PyTorch , and other frameworks.
- Perform data preprocessing with tools like Pandas to prepare large datasets for modeling.
- Implement ML algorithms for classification, regression, clustering, and recommendation systems.
- Build scalable ML systems that handle production workloads.
- Integrate models seamlessly into applications via REST APIs .
- Apply advanced NLP and deep learning techniques for language-based tasks.
- Leverage cloud ML platforms (AWS SageMaker, Google AI Platform, Azure ML) for training and deployment.
- Conduct statistical modeling to extract actionable insights and validate model performance.
- Lead and influence AI strategy to align with business goals.
- Collaborate with cross-functional teams to translate data insights into business value.
Commitments
Note: Face to face interview required in Alpharetta,GA The Role Responsibilities:
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).
Commuter benefits (varies by region).
Not Met Priorities
What still needs stronger evidence
Requirements
- Proven experience in Python for data science and ML.
- Strong working knowledge of TensorFlow and PyTorch .
- Hands-on experience with ML algorithms and model tuning.
- Proficiency in data preprocessing and feature engineering ( Pandas , NumPy , etc.).
- Skilled in integrating models with REST APIs and deploying solutions.
- Deep understanding of NLP and deep learning architectures.
- Experience working with cloud ML platforms for training and deployment.
- Ability to design scalable and production-ready ML systems .
- Solid foundation in statistical modeling and analytics.
- Proven leadership in AI strategy and projects.
Preferred Skills
- Knowledge of modern software engineering practices.
- Experience with model monitoring and MLOps .
- Strong communication skills to articulate technical strategies.
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 looking for an experienced Data Scientist with expertise in AI/ML, Python, and advanced analytics to develop and deploy scalable machine learning solutions. The ideal candidate will lead model development and contribute to AI strategy, driving impactful insights and innovations. 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 Alpharetta, GA is $105k - $120k/year & benefits (see below). Note: Face to face interview required in Alpharetta,GA The Role Responsibilities:
Develop and deploy machine learning models using TensorFlow, PyTorch , and other frameworks.
Perform data preprocessing with tools like Pandas to prepare large datasets for modeling.
Implement ML algorithms for classification, regression, clustering, and recommendation systems.
Build scalable ML systems that handle production workloads.
Integrate models seamlessly into applications via REST APIs .
Apply advanced NLP and deep learning techniques for language-based tasks.
Leverage cloud ML platforms (AWS SageMaker, Google AI Platform, Azure ML) for training and deployment.
Conduct statistical modeling to extract actionable insights and validate model performance.
Lead and influence AI strategy to align with business goals.
Collaborate with cross-functional teams to translate data insights into business value. Requirements:
Proven experience in Python for data science and ML.
Strong working knowledge of TensorFlow and PyTorch .
Hands-on experience with ML algorithms and model tuning.
Proficiency in data preprocessing and feature engineering ( Pandas , NumPy , etc.).
Skilled in integrating models with REST APIs and deploying solutions.
Deep understanding of NLP and deep learning architectures.
Experience working with cloud ML platforms for training and deployment.
Ability to design scalable and production-ready ML systems .
Solid foundation in statistical modeling and analytics.
Proven leadership in AI strategy and projects. Preferred Skills
Knowledge of modern software engineering practices.
Experience with model monitoring and MLOps .
Strong communication skills to articulate technical strategies. 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.
Develop and deploy machine learning models using TensorFlow, PyTorch , and other frameworks.
Perform data preprocessing with tools like Pandas to prepare large datasets for modeling.
Implement ML algorithms for classification, regression, clustering, and recommendation systems.
Build scalable ML systems that handle production workloads.
Integrate models seamlessly into applications via REST APIs .
Apply advanced NLP and deep learning techniques for language-based tasks.
Leverage cloud ML platforms (AWS SageMaker, Google AI Platform, Azure ML) for training and deployment.
Conduct statistical modeling to extract actionable insights and validate model performance.
Lead and influence AI strategy to align with business goals.
Collaborate with cross-functional teams to translate data insights into business value. Requirements:
Proven experience in Python for data science and ML.
Strong working knowledge of TensorFlow and PyTorch .
Hands-on experience with ML algorithms and model tuning.
Proficiency in data preprocessing and feature engineering ( Pandas , NumPy , etc.).
Skilled in integrating models with REST APIs and deploying solutions.
Deep understanding of NLP and deep learning architectures.
Experience working with cloud ML platforms for training and deployment.
Ability to design scalable and production-ready ML systems .
Solid foundation in statistical modeling and analytics.
Proven leadership in AI strategy and projects. Preferred Skills
Knowledge of modern software engineering practices.
Experience with model monitoring and MLOps .
Strong communication skills to articulate technical strategies. 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.