Senior Data Infrastructure & ML Engineer (Hybrid)

Axcelis Technologies; Beverly (MA); Hybrid; USD 122,133 - 183,199; Full time

Benefits offered by this job

Eligibility in the Axcelis Team Incentive bonus plan

Comprehensive benefits package for regular employees

Job summary

Axcelis Technologies is seeking a Senior Data Infrastructure & Machine Learning Engineer in Beverly, Massachusetts. The role focuses on designing scalable data systems and pipelines, and supporting advanced analytics and machine learning workflows.

The ideal candidate has strong experience in database design, Python proficiency, and a background in data pipeline engineering. A Bachelor's or Master's degree in Computer Science or related field is required, along with 5+ years of relevant experience. This hybrid role offers competitive compensation and benefits.

Qualifications

• 5+ years of experience in database design and SQL-based systems.
• Strong proficiency in Python for data processing.
• Hands-on experience with distributed systems and data governance.

Responsibilities

• Design and build end-to-end data pipelines for ingesting and processing data.
• Manage scalable database schemas and optimization techniques.
• Prepare and transform datasets for machine learning models.

Skills

Database design

Python

Data pipeline engineering

Data processing

Machine Learning workflows

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

Tools

Pandas

NumPy

Plotly

Job description

Axcelis Technologies is seeking a Senior Data Infrastructure & Machine Learning Engineer in Beverly, Massachusetts. The role focuses on designing scalable data systems and pipelines, and supporting advanced analytics and machine learning workflows.

The ideal candidate has strong experience in database design, Python proficiency, and a background in data pipeline engineering. A Bachelor's or Master's degree in Computer Science or related field is required, along with 5+ years of relevant experience. This hybrid role offers competitive compensation and benefits.