Engineer - GEN AI

Iberdrola•Boston, MA

1d•$128,320 - $167,600•Onsite

About The Position

The AI Engineer develops and implements artificial intelligence solutions to solve complex problems and enhance business operations. The role works with cross-functional teams to design, develop, and deploy AI models and algorithms that enable data-driven decision-making. The engineer applies expertise in machine learning, deep learning, and data analysis to create intelligent systems that automate processes, improve efficiency, and support business innovation. The position is in office in Orange, Connecticut, or Boston, Massachusetts, and reports to the Senior Manager - IT Infrastructure. Employees in applicable Avangrid Network and Corporate functions may be assigned a system emergency role and, during a system emergency, may be required to work outside their regular schedule or job duties. Certain employees in electric transmission, operations, and cybersecurity business areas may also be assigned NERC Reliability Standards compliance responsibilities, which can involve additional access protections, training, audit engagement, and evidence retention.

Requirements

Bachelor's degree in computer science, data science, software engineering, or a related field.
At least five years of experience in AI data science, machine-learning engineering, or data analytics.
At least two years of experience designing and implementing AI solutions focused on machine learning, recommendation systems, pattern recognition, natural language processing, or data mining.
Experience on projects involving big-data processing and distributed computing frameworks such as Apache Spark.
Expert knowledge of machine-learning techniques, including supervised and unsupervised learning, reinforcement learning, and deep learning.
Proficiency in programming languages such as Python, R, JavaScript, and C++.
Knowledge of machine-learning frameworks such as TensorFlow and PyTorch.
Familiarity with cloud platforms such as Azure and GCP and their relevant AI services.
Familiarity with data-engineering concepts, including data pipelines, data integration, and data warehousing.
Ability to work with large datasets and perform data cleaning, transformation, and manipulation.
Strong analytical and creative problem-solving skills.
Ability to communicate technical information effectively to business executives.
Adaptability and willingness to learn new AI technologies and techniques.

Responsibilities

Create, implement, and deploy AI solutions in business environments, with attention to scalability, reliability, and security.
Assist in collecting and cleaning datasets to ensure suitability for machine-learning tasks.
Test and evaluate AI models to assess whether their performance meets business objectives.
Monitor and optimize deployed AI systems, making necessary improvements and updates.
Keep current with developments in AI and machine-learning technologies and identify potential organizational applications.
Collaborate with data scientists, software engineers, and other stakeholders to integrate AI capabilities into existing systems and workflows.