Job Description
The Executive Office for Administration and Finance (A&F) plans and executes fiscal and administrative policies that serve to ensure the financial stability, efficiency, and effectiveness of state government. The key responsibilities of A&F include managing the operational and capital budgets of the Commonwealth and managing funds received from the federal government. A&F IT is a unit under the Executive Office for Administration & Finance (A&F) and is overseen by the Secretariat Chief Information Officer (SCIO). A&F IT is a team of approximately 300 skilled and committed IT professionals who develop and maintain technical solutions that address business challenges for Executive Office of Administration and Finance agencies.
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As an AI Engineer and Data Science Intern, the student will work closely with Digital Analytics & AI team of experts to design, develop, and deploy innovative AI-powered solutions that drive business value.
Project responsibilities will include:
- Data Analysis: Collect, process, and analyze large datasets to identify trends, patterns, and insights that inform business decisions.
- AI Model Development: Design, train, and test AI models using various algorithms (e.g., machine learning, deep learning) to solve complex problems.
- Data Visualization: Create interactive dashboards and reports to effectively communicate insights and recommendations to stakeholders.
- Collaboration: Work closely with cross-functional teams (e.g., data scientists, analysts, developers, project managers) to integrate AI-powered solutions into our services.
- Research and Development: Stay up-to-date with the latest advancements in AI and data science, identifying new opportunities for innovation and growth.
Requirements:
- Strong programming skills in languages such as Java, Python etc.
- Ability to work with AI frameworks like TensorFlow, PyTorch, or Keras
- Familiarity with data visualization tools like Tableau, Power BI, or D3.js
- Excellent analytical and problem-solving skills
- Ability to work collaboratively and effectively communicate ideas and insights
- Strong understanding of machine learning concepts and algorithms
Preferred Qualifications:
- Experience with cloud-based platforms like AWS, Google Cloud, or Azure
- Knowledge of natural language processing (NLP) and/or computer vision techniques
- Familiarity with Agile development methodologies and version control systems like Git
This position is assigned to A&F IT's offices at MITC, 200 Arlington Street in Chelsea, Massachusetts. Currently, this position will require in-person and virtual presence, as assigned by the supervisor. The offices at MITC are MBTA accessible.
An external candidate recommended for a position with the Executive Office for Administration and Finance IT will be subject to a background check that includes checks for: state and federal tax compliance; child support compliance; education verification; Massachusetts CORI checks; criminal background checks in state(s) of current and previous residence/employment; validation of eligibility to work in the United States; and national fingerprint-based criminal background checks.
Qualifications
First consideration will be given to those applicants that apply within the first 14 days.
Please see Preferred Qualifications.
Comprehensive Benefits
When you embark on a career with the Commonwealth, you are offered an outstanding suite of employee benefits that add to the overall value of your compensation package. We take pride in providing a work experience that supports you, your loved ones, and your future.
Want the specifics? Explore our Employee Benefits and Rewards!
An Equal Opportunity / Affirmative Action Employer. Females, minorities, veterans, and persons with disabilities are strongly encouraged to apply.
The Commonwealth is an Equal Opportunity Employer and does not discriminate on the basis of race, religion, color, sex, gender identity or expression, sexual orientation, age, disability, national origin, veteran status, or any other basis covered by appropriate law. Research suggests that qualified women, Black, Indigenous, and Persons of Color (BIPOC) may self-select out of opportunities if they don't meet 100% of the job requirements. We encourage individuals who believe they have the skills necessary to thrive to apply for this role.