Python Developer (Data Science and AI)

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 skilled Python Developer with a strong background in Artificial Intelligence, Machine Learning, and Data Science to join our innovative team. The ideal candidate will have extensive experience in developing production-grade NLP and NLG solutions, collaborating closely with data scientists, business analysts, and NLG teams to deliver impactful AI-powered applications. Candidate expertise will drive the development of scalable, efficient, and intelligent solutions across our platforms.

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 Weehawken, NJ is $140k - $150k/year & benefits (see below).

The Role

Responsibilities:

• Develop, optimize, and maintain AI/ML models and NLP pipelines using Python, PyTorch, TensorFlow, and cloud platforms.
• Collaborate with data scientists, NLP specialists, and business teams to implement end-to-end production-grade Natural Language Generation (NLG) solutions.
• Handle large-scale text data processing, including tokenization, stemming, lemmatization, regex-based searches, and other text preprocessing techniques.
• Design and manage data storage solutions utilizing both relational and NoSQL databases, ensuring data integrity and performance.
• Build scalable backend services and APIs to support AI/ML applications and workflows.
• Implement efficient data pipelines for training, validation, and deployment of machine learning models.
• Stay updated with the latest developments in AI, ML, NLP, and cloud technologies, applying best practices to projects.
• Write clean, modular, and well-documented code following industry standards and CI/CD practices.
• Troubleshoot, optimize, and improve existing AI/ML workflows for better accuracy and performance.

Requirements:

• Proven experience in Python programming with a strong understanding of AI/ML frameworks such as PyTorch and TensorFlow.
• Hands-on experience working with cloud platforms (AWS, Azure, Google Cloud Platform).
• Deep understanding of NLP concepts, techniques, and preprocessing steps including regex searches, tokenization, stemming, lemmatization, and large-scale text processing.
• Strong knowledge of relational databases (MySQL, PostgreSQL, etc.) and NoSQL databases (MongoDB, DynamoDB, etc.).
• Experience in deploying AI/ML models into production environments.
• Good communication skills to work effectively with cross-functional teams including data scientists, business analysts, and software engineers.
• Solid problem-solving skills and ability to optimize workflows for scalability and performance.

Preferred, but not required:

• Experience with large language models (Transformers, GPT, BERT).
• Familiarity with NLP libraries such as spaCy, NLTK, or Gensim.
• Experience working on NLG projects, including dialogue systems or content generation.
• Knowledge of containerization and orchestration tools like Docker and Kubernetes.

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.