ZipRecruiter

Log In

1

Artificial Intelligence Machine Learning Physics Jobs in Connecticut

Deloitte

Lead AI and Data Science Engineer II

Hartford, CT · On-site

$103K - $136K/yr

Data science applies statistical analysis, machine learning, and AI to identify meaningful patterns in workforce data, build data and generative artificial intelligence (GenAI) applications, and ...

Deloitte

Cyber - SecOps - Consultant

Hartford, CT · On-site

Experience applying artificial intelligence (AI), machine learning (ML), and advanced data engineering to cybersecurity use cases, including detection and cyber threat response acceleration

Deloitte

Cyber - SecOps - Consultant

Stamford, CT · On-site

Experience applying artificial intelligence (AI), machine learning (ML), and advanced data engineering to cybersecurity use cases, including detection and cyber threat response acceleration

Deloitte

Oracle Gen AI Manager

Hartford, CT

Define and enforce governance, security, compliance, and architecture standards for artificial intelligence and machine learning initiatives * Identify high-value AI use cases and guide teams on ...

Commonfund

AI/ML Development Analyst

Norwalk, CT · On-site

$100K - $150K/yr

Job Title AI/ML Development Analyst Job Summary Commonfund is seeking a highly motivated AI/ML Development Analyst to design, develop, and deploy advanced artificial intelligence and machine learning ...

Applied Aerospace & Defense

Data Engineer

Newington, CT

$114K - $136K/yr

Artificial Intelligence and Machine Learning Design, develop, and deploy machine learning and artificial intelligence models tailored to complex business and operational challenges. Collect, engineer ...

previous pagenext page

Showing results 21-40

All JobsArtificial Intelligence Machine Learning Physics JobsArtificial Intelligence Machine Learning Physics Jobs in Connecticut

Artificial Intelligence Machine Learning Physics information

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning physicist, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Physicist, you need a strong background in physics, advanced mathematics, computer science, and experience with machine learning algorithms, typically supported by a graduate degree in a related field. Proficiency in programming languages such as Python or C++, machine learning frameworks like TensorFlow or PyTorch, and familiarity with data analysis tools are essential, along with experience in scientific computing. Critical thinking, problem-solving, and strong communication skills help you interpret complex data, collaborate across disciplines, and convey research findings effectively. These combined skills are crucial for developing innovative AI models, driving scientific discovery, and advancing technology at the intersection of physics and machine learning.

What is artificial intelligence machine learning physics?

Artificial Intelligence Machine Learning Physics is an interdisciplinary field that applies AI and machine learning techniques to solve complex problems in physics. Experts in this area use algorithms to analyze large datasets, model physical phenomena, and accelerate scientific discoveries. The field combines knowledge of physics, computer science, and mathematics to design models that can predict, simulate, or interpret physical processes. Applications include materials science, quantum mechanics, astrophysics, and more, making it a rapidly growing area of research and industry.

What collaborative projects can professionals in artificial intelligence machine learning physics expect to work on?

Professionals in Artificial Intelligence Machine Learning Physics often work on interdisciplinary teams, partnering closely with data scientists, physicists, and software engineers. They may contribute to projects such as developing advanced simulation tools, optimizing experimental data analysis, or creating machine learning models to predict physical phenomena. Collaboration is key, as these roles frequently involve integrating AI algorithms with physical models and leveraging domain-specific knowledge from physics experts. This dynamic environment fosters continual learning and offers opportunities to lead innovative research or transition into specialized engineering and research leadership roles.

What is the difference between Artificial Intelligence Machine Learning Physics vs Data Scientist?

AspectArtificial Intelligence Machine Learning PhysicsData Scientist
Required credentialsDegree in Computer Science, Physics, or related fields; certifications in AI/MLDegree in Statistics, Mathematics, Computer Science; certifications in data analysis
Work environmentResearch labs, tech companies, academia focusing on AI/ML applications in physicsBusiness, finance, healthcare sectors analyzing large datasets
Industry usageDeveloping AI models for physics simulations, research, and technologyExtracting insights from data to inform business decisions

Artificial Intelligence Machine Learning Physics and Data Scientist roles share a focus on data analysis and technical skills. However, AI/ML Physics emphasizes developing algorithms within physics contexts, while Data Scientists focus on analyzing diverse datasets across industries. Both roles often require similar educational backgrounds and certifications, but their applications and work environments differ significantly.

What are popular job titles related to Artificial Intelligence Machine Learning Physics jobs in Connecticut?

For Artificial Intelligence Machine Learning Physics jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Artificial Intelligence Machine Learning Physics jobs in Connecticut look for?

The top searched job categories for Artificial Intelligence Machine Learning Physics jobs in Connecticut are:

What cities in Connecticut are hiring for Artificial Intelligence Machine Learning Physics jobs?

Cities in Connecticut with the most Artificial Intelligence Machine Learning Physics job openings:

Artificial Intelligence Machine Learning Physics jobs near you

D425 Artificial Intelligence (AI) Program Representative

General Dynamics Electric Boat

Groton, CT • On-site

$37K - $42K/yr

Full-time

Posted 13 days ago

General Dynamics Electric Boat rating

8.3

Company rating: 8.3 out of 10

Based on 164 frontline employees who took The Breakroom Quiz

67th of 540 rated manufacturers

Job description

Overview
Position Summary:
Electric Boat is seeking a self-starter who is highly organized, energized by new technology, and motivated by coordinating meaningful, cross-functional work. As an AI Program Representative, you won't just administer our AI governance process; you'll help scale it, strengthen it, and evolve it so the company can safely and effectively expand its use of artificial intelligence. You'll partner closely with the AI Working Group, engineering teams, business functions, IT, and leadership to ensure that our AI initiatives are well structured, responsibly implemented, and aligned with enterprise strategies. If you enjoy coordinating multiple stakeholders, project management, building organizational processes, and working with emerging technologies, this role offers a unique opportunity to help shape the future of AI at Electric Boat. This role will support Groton Shipyard, New London and Quonset Point locations and require local travel.
Responsibilities:
The AI Program Representative will serve as the centralized point of contact and lead for a new AI Center of Excellence. Responsibilities include:
Scale and Strengthen AI Governance
  • Lead day-to-day execution of EB's AI governance process, including intake, evaluation, prioritization, and risk assessment of potential AI use cases.
  • Identify gaps, inefficiencies, and bottlenecks and drive improvements that allow the governance process to scale effectively as AI adoption grows.
  • Maintain and expand governance materials including AI MDDs, risk evaluation templates, workflows, and guidance documents.
  • Promote responsible AI practices and ensure alignment with cybersecurity, data governance, and corporate policy.

Coordinate Projects and Keep Work Moving
  • Manage a growing portfolio of AI projects across shipyard, shipboard, design & engineering, and business operations domains.
  • Work with teams to define scope, understand data and technology requirements, and identify risks early.
  • Track schedules, budgets, milestones, and deliver consistent monthly updates to leadership.
  • Support resourcing by coordinating internal staffing and collaborating with external partners when applicable.

Connect Teams and Build Organizational Momentum
  • Serve as the central point of contact for AI-related coordination across EB.
  • Facilitate communication among engineering, design, IT, operations, and business functions to maintain alignment and clarity.
  • Support workforce development through mentoring, guidance, and helping integrate AI literacy into training conversations.

Drive Growth, Innovation, and Continuous Improvement
  • Help the company identify infrastructure, tooling, training, and process needs to support wider AI adoption.
  • Drive improvements to workflows, communication channels, evaluation criteria, and documentation that enable smoother scaling of AI initiatives.
  • Support departmental and enterprise-level improvement initiatives linked to responsible and effective AI adoption.

Qualifications
Required:
  • Bachelor's degree in Engineering, Project Management or Business.
  • Minimum 5 years' of experience in engineering, data science, project management, software, or other technical coordination roles.
  • Ability to obtain and maintain a Secret Security clearance through the Department of Defense

Preferred:
  • 7+ years of experience at Electric Boat.
  • Experience with artificial intelligence, machine learning, data analysis, or related technologies.
  • Experience leading projects or coordinating cross-functional efforts.
  • Familiarity with EB engineering workflows, submarine design, or shipyard operations.
  • Experience contributing to or developing governance frameworks or repeatable business processes.

Skills
  • Proven ability to work independently and take initiative to solve problems with limited oversight.
  • Strong organizational, planning, and coordination skills.
  • Excellent communication skills suited for both technical and non-technical audiences.
  • Proficiency with MS Office tools.
  • Ability to manage multiple evolving priorities in a fast-paced environment.

What General Dynamics Electric Boat employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply