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 & 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. 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). About the Role 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. What You'll Do 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. What We're Looking For 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. Helpful, but Not Required Familiarity with machine learning or deep learning concepts. Experience with Python libraries such as NumPy, pandas, scikit-learn, PyTorch, or TensorFlow. 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 GitHub portfolio, technical project, research project, or other demonstration of your work. Education 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. What Success Looks Like 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 unfamiliar problems. Respond constructively to feedback. Develop a reliable understanding of how our AI systems are built, tested, and maintained. 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.

SYNECHRON'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. #J-18808-Ljbffr Synechron