Gen AI with Python

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 17,000+, and has 58 offices in 22 countries within key global markets.

Our challenge

The Associate AI/ML/Data Science will be responsible for assisting with the development and deployment of AI/ML models and solutions. They will work with cross-functional teams to collect and analyze data, build models, and implement solutions to help the organization make data-driven decisions.

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 Jersey City, NJ is $110k - $115k/year & benefits (see below).

The Role

Responsibilities:

• Assist with the development and deployment of AI/ML models and solutions
• Collect and analyze data to inform model development
• Build and test AI/ML models
• Implement solutions and integrate with existing systems
• Collaborate with cross-functional teams to ensure solutions meet business needs
• Continuously monitor and improve model performance
• Stay up-to-date with the latest AI/ML technologies and techniques.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Mathematics, or related field
• 2+ years of experience in AI/ML/Data Science
• Strong understanding of machine learning algorithms and techniques
• Proficiency in programming languages such as Python, R, or SQL
• Ability to work in a fast-paced and agile environment
• Strong understanding of machine learning algorithms and techniques
• Proficiency in programming languages such as Python, R, or SQL
• Ability to collect, clean, and manipulate data
• Knowledge of data visualization techniques
• Excellent problem-solving and analytical skills

We offer:

• A highly competitive compensation and benefits package.
• A multinational organization with 58 offices in 22 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 m…