AI/ML Analytics Engineer (2027 New College Graduate)

Location: Malta, New York, USA

Salary: $58,400–$100,800 per year

Company

hirify.global manufactures semiconductors and develops power-efficient, high-performance solutions for AI and other high-growth markets.

What you will do

• Define project objectives, deliverables, success measures, and timelines with the Digital Manufacturing Manager.
• Design, develop, test, document, and support analytics methods and systems across manufacturing use cases.
• Collaborate with manufacturing, engineering, and cross-functional Fab teams to identify AI, machine learning, and digital manufacturing opportunities.
• Collect, clean, integrate, and preprocess large datasets from multiple sources.
• Apply statistical analysis, visualization, machine learning, predictive modeling, and agentic solutions to real-world manufacturing problems.
• Communicate findings, limitations, and measurable recommendations to technical stakeholders and Fab leadership.

Requirements

• Graduating in 2027 with a Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Industrial Engineering, Electrical Engineering, Computer Engineering, or a related field.
• Overall GPA of at least 3.0 and good academic standing.
• English fluency required in written and verbal communication.
• Experience with statistical analysis, machine learning, predictive modeling, data visualization, or digital manufacturing analytics through coursework, research, internships, or projects.
• Programming experience with Python, R, SQL, or similar tools, including data preparation, model evaluation, visualization, and reproducible analytical workflows.
• Experience building agentic solutions or using agentic tools to prototype and scale new features.

Nice to have

• Related internship or co-op experience.
• Leadership experience in the workplace, academic projects, or competitions.
• Project management, planning, organizational, written communication, and verbal communication skills.
• Interest in applying AI tools and emerging technologies to improve productivity and decision-making.

Culture & Benefits

• Full-time employment with accelerated training for new college graduates.
• Mentorship, networking, and leadership development opportunities.
• Cross-functional collaboration and talent mobility.
• Work must follow Environmental, Health, Safety, and Security requirements.