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Physics Based Machine Learning Jobs in Rhode Island

Citizens

Sr AI/ML Engineer

Johnston, RI · Hybrid

$105K - $144K/yr

Collaborate with data scientists to deploy and monitor machine learning models. Develop CI/CD ... Employment decisions are based solely on merit, qualifications, performance and capability. Equal ...

General Motors

Senior AI/ML Engineer

Providence, RI · On-site +1

$105K - $145K/yr

Experience with computer vision , machine learning , or data‑centric AI projects -- especially ... It is based on what a successful applicant might be paid in accordance with applicable state laws.

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Physics Based Machine Learning information

What types of projects or problems does a Physics Based Machine Learning professional typically work on?

Physics Based Machine Learning professionals often work on projects that involve applying machine learning techniques to physical systems, such as improving simulations in engineering, optimizing energy systems, or accelerating scientific research through data-driven modeling. Daily tasks might include developing algorithms that incorporate physical laws, analyzing simulation data, and collaborating with experts from engineering, data science, or research teams. The role can involve both theoretical and hands-on work, often requiring iterative testing and validation. This environment provides opportunities to tackle cutting-edge challenges, contribute to innovation, and potentially lead to career paths in research, product development, or advanced analytics.

What is a Physics Based Machine Learning job?

A Physics Based Machine Learning job involves developing machine learning models that incorporate physical laws and domain knowledge to improve predictions and interpretability. Professionals in this field work at the intersection of physics, data science, and artificial intelligence to create models that are more robust, generalizable, and efficient, especially in scientific and engineering applications. Responsibilities often include data analysis, algorithm development, numerical simulations, and integrating physics-based constraints into ML models. These roles are common in industries like climate science, robotics, materials science, and computational physics.

What are the key skills and qualifications needed to thrive in the Physics Based Machine Learning position, and why are they important?

To thrive in Physics Based Machine Learning, you need advanced knowledge of physics, strong programming skills (Python, MATLAB, or C++), and a deep understanding of machine learning and statistical modeling, typically supported by a master's or PhD in physics, engineering, or a related field. Familiarity with simulation software, scientific computing libraries (such as TensorFlow, PyTorch, NumPy), and version control systems is essential. Strong problem-solving ability, effective communication, and cross-disciplinary collaboration skills set outstanding candidates apart. These competencies are crucial for designing robust, real-world models that integrate physical principles with data-driven techniques to solve complex problems.

What are popular job titles related to Physics Based Machine Learning jobs in Rhode Island? For Physics Based Machine Learning jobs in Rhode Island, the most frequently searched job titles are:
What job categories do people searching Physics Based Machine Learning jobs in Rhode Island look for? The top searched job categories for Physics Based Machine Learning jobs in Rhode Island are:
What cities in Rhode Island are hiring for Physics Based Machine Learning jobs? Cities in Rhode Island with the most Physics Based Machine Learning job openings:
Physics Based Machine Learning jobs near you
Sr AI/ML Engineer

Sr AI/ML Engineer

Citizens

Johnston, RI • Hybrid

$105K - $144K/yr

Full-time

Posted 5 days ago

Job description

The Sr ML Ops Engineer will have experience in deploying, monitoring, and managing machine learning models in production environments. You will be responsible for designing and implementing scalable and reliable ML pipelines.

Job Responsibilities

Design, implement, and maintain ML pipelines and infrastructures.

Collaborate with data scientists to deploy and monitor machine learning models.

Develop CI/CD pipelines for continuous integration and delivery of ML models.

Automate and streamline ML workflows and processes.

Troubleshoot and resolve issues related to ML model deployment and performance.

Requirements

  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
  • 8+ years of experience in software engineering, DevOps, ML engineering, or MLOps-related roles.
  • Proven experience deploying, monitoring, and managing machine learning models in production environments.
  • Strong understanding of the ML lifecycle, including training, validation, deployment, monitoring, and retraining.
  • Proficiency in Python and hands-on experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Experience building and exposing scalable ML/LLM services using FastAPI or similar API frameworks.
  • Strong experience designing and implementing CI/CD pipelines for ML and software delivery.
  • Experience with MLOps and workflow orchestration tools such as MLflow, Kubeflow, Airflow, SageMaker, or similar platforms.
  • Experience designing and orchestrating Retrieval-Augmented Generation (RAG) pipelines, including embeddings, vector databases, and re-ranking techniques.
  • Familiarity with building agentic workflows, including tool integration, multi-step orchestration, and reasoning pipelines.
  • Hands-on experience enabling and integrating Large Language Models (LLMs) for enterprise use cases, including prompt engineering and inference optimization.
  • Understanding of LLM deployment patterns across platforms such as AWS SageMaker, Bedrock, Azure OpenAI, or self-hosted environments.
  • Experience implementing guardrails, monitoring, and evaluation frameworks for LLM outputs (quality, safety, hallucination detection).
  • Strong experience with containerization and orchestration technologies such as Docker and Kubernetes.
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud, including managed ML services.
  • Knowledge of monitoring, logging, and observability tools for tracking system and model performance.
  • Strong understanding of version control, testing frameworks, and software engineering best practices.
  • Ability to troubleshoot complex deployment, scaling, and performance issues in distributed systems.
  • Experience with model governance, security, compliance, and reproducibility practices is a plus.
  • Strong collaboration and communication skills, with the ability to work effectively across data science, engineering, and platform teams.

Hours & Work Schedule

  • Hours per Week:40
  • Work Schedule:Monday-Friday
  • Hybrid: 4 days per week on-site

Equal Employment Opportunity

Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.

Equal Employment and Opportunity Employer

Job Applicant Data Privacy Policy

Background Check

Any offer of employment is conditioned upon the candidate successfully passing a background check, which may include initial credit, motor vehicle record, public record, prior employment verification, and criminal background checks. Results of the background check are individually reviewed based upon legal requirements imposed by our regulators and with consideration of the nature and gravity of the background history and the job offered. Any offer of employment will include further information.


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