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Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

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Trinity Solar AI Machine Learning Engineer in Iselin, New Jersey

AI Machine Learning Engineer

Job Details

Job Location

Iselin Technology Center - Iselin, NJ

Position Type

Full Time

Salary Range

$110,000.00 - $200,000.00 Salary/year

Job Shift

Day

Job Category

Technology / Software

Description

"You've worked for the rest...now work for the best!"

Trinity Solar...recognized by NJ Biz as one of the top private companies.

Trinity Solar...recognized as a top Solar Contractor by Solar World.

Trinity Solar is seeking a talented and motivated AI/ML Engineer to join our dynamic team. As an AI/ML Engineer, you will play a key role in developing cutting-edge machine learning models and implementing AI solutions to solve complex problems. You will have the opportunity to work on exciting projects and contribute to the growth of our AI capabilities.

Work locations: In office/hybrid schedules available.

Roles & Responsibilities

  • Design, develop, and implement machine learning models for various applications.

  • Collaborate with cross-functional teams to understand project requirements and deliver robust AI solutions.

  • Evaluate and experiment with different machine learning algorithms to optimize model performance.

  • Work on data preprocessing, feature engineering, and model deployment.

  • Stay updated on the latest advancements in AI/ML and incorporate relevant technologies into projects.

    Qualifications & Experience

  • Bachelor's/Master's/Ph.D. degree in Computer Science, Machine Learning, or a related field.

  • Proven 5+ years of experience in developing and deploying machine learning models.

  • Strong programming skills in languages such as Python and or C#.

  • Familiarity with popular machine learning frameworks (e.g., TensorFlow, PyTorch).

  • Experience with data preprocessing, feature engineering, and model evaluation.

  • Solid understanding of statistics, mathematics, and algorithms.

  • Experience with deep learning and neural networks.

  • Knowledge of natural language processing (NLP) techniques.

  • Familiarity with cloud platforms (e.g., Azure).

    What We Offer

    Not just a career... but a career path to success!Trinity Solar offers you a career in one of the fastest growing fields in the country. A career with Trinity Solar is a path to personal and professional growth with a company who truly values its employees. Our employees enjoy...

  • Competitive compensation

  • Comprehensive healthcare benefits which include:

  • Medical, Dental and Vision

  • Life insurance

  • Employee assistance program

  • Paid training

  • A generous PTO program

  • 401k plan supported by a company match

  • Work-life balance

  • Long term stability in a fast-growing industry

  • The satisfaction of knowing they are working for an organization leading the way in clean energy initiatives

  • And Much MORE!

    About Us

    Since 1994, Trinity Solar has proudly provided energy with integrity to families in our area. Trinity started in the solar industry with two core fundamental principles, to make renewable energy accessible and to make the solar journey seamless. These guiding beliefs have led Trinity Solar to become the United States largest privately held residential solar installer, composed of more than 3,000 team members, and boasting over 100,000 installations. Currently, Trinity offers solar installation in Connecticut, Delaware, Florida, New Jersey, New Hampshire, New York, Massachusetts, Maryland, Pennsylvania, and Rhode Island.

    Trinity Solar is an Equal Opportunity Employer committed to diversity in the workplace. Consistent with that goal, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, protected veteran status, gender identity, or any other category protected by applicable federal, state, or local laws.

    "Veteran Friendly"

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