Artificial Intelligence 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.

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 New Jersey $65k - $68k/year & benefits (see below).

We are looking for a curious, disciplined, and highly motivated Entry-Level 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 do not need prior professional experience in artificial intelligence. We care more about your ability to think rigorously, learn unfamiliar concepts, write clear and maintainable code, and follow through on challenging work. You will receive guidance and collaborate with experienced engineers while developing your skills across machine learning, software engineering, data, and AI products.

• 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.

• Strong analytical and problem-solving skills.
• Rigor and attention to detail.
• Discipline and the ability to consistently complete work.
• A genuine willingness to learn unfamiliar technologies.
• Ability to break complex problems into smaller, testable steps.
• Clear written and verbal communication.
• Comfort receiving feedback and improving your work.
• Ability to work independently while asking thoughtful questions when needed.
• 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 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.

During your first several months, you will be expected to:

• Learn the team’s development practices and technical stack.
• Deliver small, well-tested engineering tasks.
• Explain your reasoning and document your work clearly.
• Make steady progress on…