Sr. Python/GenAI Developer

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 14,500+, and has 58 offices in 21 countries within key global markets.

Our challenge

We are seeking a highly skilled Senior Python Developer with extensive experience in Generative AI, Machine Learning, and automation to design, develop, and deploy cutting-edge AI solutions. Candidate will collaborate across teams to deliver innovative products and optimize performance through data-driven insights, automation, and advanced modelling techniques.

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 Dallas, TX/Jersey City, NJ/Charlotte, NC is $110k - $120k/year & benefits (see below).

The Role

Responsibilities:

• Solution Development & Testing: Develop robust Python solutions, including automated unit tests to ensure quality, compliance, and adherence to acceptance criteria for each feature/story.
• Automation & Release Management: Automate manual release procedures and design maintainable automated test suites to streamline deployment cycles.
• Proof of Concept & Innovation: Lead and execute POCs focused on AI/ML use cases, evaluating new technologies and approaches.
• AI/ML Model Development & Deployment: Design, develop, and deploy ML/AI models on cloud platforms. Manage model source code using Git/Bitbucket and monitor models in production.
• Data & Model Engineering: Build data pipelines, perform data analysis, and optimize query performance to support AI/ML workflows.
• Framework & Tool Development: Create or extend frameworks and tools tailored for AI/ML applications.
• Architectural Design: Integrate multiple architectural components—data, application, and business—to create scalable, efficient solutions.
• CI/CD Implementation: Lead or contribute to continuous integration and deployment processes, ensuring smooth release pipelines.
• Stakeholder Collaboration: Engage effectively with multiple stakeholders to gather requirements, provide updates, and deliver solutions aligned with business needs.
• Estimation & Planning: Contribute to sprint planning and effort estimation for AI/ML projects within Agile environments.

Requirements:

• Experience: 5+ years of professional Python development with deep expertise in AI/ML applications.
• AI/ML Expertise: Proven extensive hands-on experience in developing, optimizing, and deploying ML models, especially in Generative AI, query optimization, and related areas.
• Cloud Proficiency: Experience deploying and maintaining models on cloud platforms (AWS, GCP, Azure).
• Programming & Libraries: Proficient in Python and its standard libraries, with familiarity in AI/ML libraries such as TensorFlow, PyTorch, scikit-learn, etc.
• Automation & Testing: Strong background in automated testing, CI/CD pipelines, and release automation.
• Data Skills: Strong data analysis, query optimization, and familiarity with data engineering processes.
• Methodologies: Agile experience, managing multiple stakeholders, and delivering end-to-end solutions.
• Team Collaboration: Excellent communication skills, proactive problem-solving, and ability to work in cross-functional teams.

We offer:

• A highly competitive compensation and benefits package.
• A multinational organization with 58 offices in 21 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.

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