Engineer - GEN AI

5 days ago

Boston, MA, USASenior

Base Salary

$141k - $184k/yr

Responsibilities

Create, implement, and deploy scalable, reliable, and secure AI solutions for business environments.
Collect and clean datasets for machine learning tasks.
Test and evaluate AI models against business objectives.
Monitor and optimize deployed AI systems and implement updates.
Track advances in AI and machine learning technologies and identify organizational applications.
Collaborate with data scientists, software engineers, and stakeholders to integrate AI capabilities into existing systems and workflows.

Bachelor's degree in computer science, data science, software engineering, or a related field.
At least five years of experience in AI data science, ML engineering, or data analytics.
At least two years of experience designing and implementing AI solutions focused on machine learning, recommendation systems, pattern recognition, NLP, or data mining.
Experience with big data processing and distributed computing frameworks such as Apache Spark.
Expert knowledge of supervised learning, unsupervised learning, reinforcement learning, and deep learning.
Proficiency in Python, R, JavaScript, or C++.
Knowledge of TensorFlow and PyTorch.
Familiarity with Azure, GCP, and related AI services.
Familiarity with data pipelines, data integration, and data warehousing.
Ability to work with large datasets and perform data cleaning, transformation, and manipulation.
Strong analytical, creative problem-solving, communication, adaptability, and willingness to learn new AI technologies.

Competitive benefits and growth opportunities.
Generous performance-based bonuses.
12% 401(k) match.
Comprehensive health, dental, and vision insurance.
Tuition reimbursement.
Professional development and career-advancement pathways.
In-office work in Orange, Connecticut, or Boston, Massachusetts.
Employees may be assigned emergency-system and applicable NERC Reliability Standards compliance responsibilities depending on business area.
Job posting ends September 18, 2026.

5,001-10,000 employees