Junior AI Engineer

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 & Dev Ops, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our Fin Labs 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.

We are looking for a curious, disciplined, and highly motivated Junior AI Engineer to join our team. This role is designed for someone at the beginning of their engineering career who is excited to learn, solve difficult problems, and build practical AI systems. You will receive guidance and collaborate with experienced engineers while developing your skills across machine learning, software engineering, data, and AI products.

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 Warren, NJ is $60K-$65K/year & benefits (see below).

• Build, test, and improve AI and machine learning features.
• Write clean, reliable, and well-documented Python code.
• Work with data to prepare, analyze, and validate datasets.
• Implement and evaluate machine learning models and AI workflows.
• Experiment with large language models, APIs, embeddings, or other AI technologies.
• Design tests and use evidence to evaluate whether a system is working well.
• Debug technical problems systematically.
• Read technical documentation, research papers, and unfamiliar codebases.
• Collaborate with engineers, product managers, and other team members.
• Document your work, assumptions, results, and next steps.
• Continuously learn new tools, methods, and concepts as the field evolves.

• A degree in computer science, engineering, mathematics, statistics, or a related field is welcome but not required
  . Equivalent skills gained through projects, bootcamps, independent study, military service, or other experiences are also valued.
• A solid foundation in programming, especially Python, through coursework, projects, internships, research, or self-directed learning.
• Familiarity with machine learning or deep learning concepts.
• Experience with Python libraries such as Num Py, pandas, scikit-learn, PyTorch, or Tensor Flow.
• Exposure to SQL, APIs, Git, Linux, cloud platforms, or software testing.
• Experience building personal, academic, open-source, or hackathon projects.
• Familiarity with probability, statistics, linear algebra, or calculus.
• A Git Hub portfolio, technical project, research project, or other demonstration of your work.

• 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 (Fin Labs) 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…