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Fraud Detection Machine Learning Jobs in Connecticut

Hyperfine

Senior AI Scientist

Guilford, CT · On-site

$156K - $179K/yr

... detection, segmentation, reconstruction, super-resolution, and denoising; iterate on training models with fast turnaround time. * Design and develop new machine learning algorithms while keeping ...

Hyperfine

Senior AI Scientist

Guilford, CT

$156K - $179K/yr

... detection, segmentation, reconstruction, super-resolution, and denoising; iterate on training models with fast turnaround time. * Design and develop new machine learning algorithms while keeping ...

Hyperfine

Senior AI Scientist

Guilford, CT · On-site

$156K - $179K/yr

... detection, segmentation, reconstruction, super-resolution, and denoising; iterate on training models with fast turnaround time. * Design and develop new machine learning algorithms while keeping ...

Applied Aerospace & Defense

Data Engineer

Newington, CT

$114K - $137K/yr

In addition, this role leads the operationalization of machine learning models, ensuring they are ... drift detection, and responsible AI governance standards. Technology Leadership and Compliance

Applied Aerospace & Defense

Data Engineer

Newington, CT

$114K - $136K/yr

In addition, this role leads the operationalization of machine learning models, ensuring they are ... drift detection, and responsible AI governance standards. Technology Leadership and Compliance ...

Deloitte

Senior AI Engineer - SFL Scientific

Stamford, CT

$111K - $153K/yr

Work with clients to design, develop, and deploy new architectures to support machine learning ... Some of our novel use cases include cancer detection, drug discovery, optimizing population health ...

ExlService Holdings, Inc.

GCP Cloud Engineer

Hartford, CT

$115K - $138K/yr

AI & Machine Learning * Experience supporting ML/AI workflows and pipelines * Healthcare Domain ... Adverse event detection * Medication safety * Clinical quality measures * Ensure compliance with ...

ExlService Holdings, Inc.

GCP Cloud Engineer

Hartford, CT · On-site

$115K - $138K/yr

Develop feature pipelines and data transformations for machine learning use cases. * Support use ... Adverse event detection * Medication safety * Clinical quality measures * Ensure compliance with ...

GE Aerospace

Software Engineer AI/ML

Norwalk, CT

$114K - $138K/yr

... machine learning pipelines, models, and LLM-powered applications. This is a multi-faceted ... Ensure responsible AI practices including bias detection, explainability (SHAP, LIME), privacy ...

New

Point72

Devops Engineer, Surveillance

Stamford, CT · On-site

$160K - $250K/yr

... and machine learning workloads reliably and efficiently at scale * Develop and maintain CI/CD ... to detection and resolution for production incidents * Automate security controls, access ...

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All JobsFraud Detection Machine Learning JobsFraud Detection Machine Learning Jobs in Connecticut

Fraud Detection Machine Learning information

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How much do fraud detection machine learning jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for fraud detection machine learning in Connecticut is $17.17, according to ZipRecruiter salary data. Most workers in this role earn between $14.18 and $18.32 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals working in Fraud Detection Machine Learning, and how can they be addressed?

Professionals in Fraud Detection Machine Learning often face challenges such as dealing with highly imbalanced datasets, rapidly evolving fraud patterns, and the need for real-time detection. Managing data imbalance requires careful selection of evaluation metrics and specialized algorithms. Staying ahead of new fraud tactics involves continuous model retraining and close collaboration with domain experts. Additionally, integrating machine learning solutions with existing systems often requires cross-functional teamwork with IT, security, and compliance teams.

What is fraud detection using machine learning?

Fraud detection using machine learning involves leveraging algorithms and data analysis techniques to identify suspicious or fraudulent activities in various domains, such as banking, e-commerce, or insurance. These systems analyze large volumes of transaction data to detect patterns or anomalies that may indicate fraud. Machine learning models can adapt over time, improving their accuracy as they are exposed to more data. This approach helps organizations automate and enhance their ability to prevent, detect, and respond to fraudulent behavior efficiently.

What is the difference between Fraud Detection Machine Learning vs Fraud Analyst?

AspectFraud Detection Machine LearningFraud Analyst
CredentialsData science, machine learning certifications, programming skillsFinance, criminal justice degrees, analytical skills
Work EnvironmentData-driven, tech-focused, often in financial or e-commerce sectorsInvestigative, report-focused, in financial institutions or insurance companies
Employer & IndustryTech companies, banks, e-commerce platformsFinancial institutions, insurance firms, retail

Fraud Detection Machine Learning involves developing algorithms to identify fraudulent activities automatically, relying heavily on data analysis and programming. Fraud Analysts manually investigate suspicious cases and interpret data insights. While both roles aim to prevent fraud, Machine Learning specialists focus on building models, whereas Fraud Analysts focus on case investigation and decision-making.

What are the key skills and qualifications needed to thrive as a Fraud Detection Machine Learning Specialist, and why are they important?

To thrive as a Fraud Detection Machine Learning Specialist, you need strong expertise in machine learning, statistical analysis, and programming languages like Python or R, typically supported by a degree in computer science, data science, or a related field. Familiarity with tools such as TensorFlow, Scikit-learn, SQL databases, and experience with big data platforms or cloud services is highly valuable. Critical thinking, attention to detail, and effective communication are crucial soft skills for identifying complex fraud patterns and collaborating with interdisciplinary teams. These competencies are vital for developing accurate models that protect organizations from financial losses and maintain trust with customers.
What are popular job titles related to Fraud Detection Machine Learning jobs in Connecticut? For Fraud Detection Machine Learning jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Fraud Detection Machine Learning jobs in Connecticut look for? The top searched job categories for Fraud Detection Machine Learning jobs in Connecticut are:
What cities in Connecticut are hiring for Fraud Detection Machine Learning jobs? Cities in Connecticut with the most Fraud Detection Machine Learning job openings:
Fraud Detection Machine Learning jobs near you
Senior AI Scientist

Senior AI Scientist

Hyperfine

Guilford, CT • On-site

$156K - $179K/yr

Full-time

Posted 18 days ago

Job description

About Us
Hyperfine, Inc. (Nasdaq: HYPR) is the groundbreaking health technology company that has redefined brain imaging with the Swoop® system-the first FDA-cleared, portable, ultra-low-field, magnetic resonance brain imaging system capable of providing imaging at multiple points of care in a healthcare facility. Our mission is to revolutionize patient care globally through transformational, accessible, clinically relevant diagnostic imaging. Learn More
About The Role
Job Title: Senior AI Scientist
Location:Guilford, Connecticut
The Senior AI Scientist is a talented and experienced Scientist with applied experience in Machine Learning who will innovate and expand our product capabilities. The goal of this role is to develop techniques that solve a wide range of challenging scientific and clinical problems in MRI aimed at improving patient outcomes. You will introduce new algorithms and machine learning models that solve difficult imaging tasks, make our models more accurate and robust, and introduce entirely new approaches.
Key Responsibilities
  • Coordinate tasks and goals with other scientists, software engineers, and a clinical team to help develop a new suite of intelligent medical products.
  • Rapidly prototype deep learning models including, but not limited to, classification, detection, segmentation, reconstruction, super-resolution, and denoising; iterate on training models with fast turnaround time.
  • Design and develop new machine learning algorithms while keeping abreast of the latest advances across various labs and conferences.
  • Maintain and continuously improve our existing DL models, with new training data and modeling techniques.
  • Support software releases, and regulatory documentation.

Knowledge, Skill & Abilities:
  • Ability to design new algorithms for practical problems on real-world datasets.
  • Ability to quickly learn new concepts and apply to research and development process in an iterative and incremental fashion.
  • Ability to work efficiently and clear roadblocks in timely manner.
  • Adaptability to fast-changing work environment.
  • Strong communication skills and proactiveness for working in a cross-functional collaborative environment.

Required Education & Experience:
  • PhD in a relevant field, or MS (or equivalent) with 2+ years of applied experience.
  • Experience in Computer Vision, Medical Image Analysis, Machine Learning, or Deep Learning.
  • Experience working with Medical Images and Magnetic Resonance Images.
  • Software engineering experience in developing and maintaining systems using Python.
  • Programming experience in PyTorch and/or TensorFlow.

Physical Demands:
  • This is a full-time, on-site role based out of Hyperfine's office in Guilford, CT.
  • Available nights, weekends, and holidays as business needs require.

Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship now or in the future of any employment Visa.
The annual base salary for this position is between $156,000 - $179,000. This position is also eligible for to participate in Hyperfine's corporate bonus and equity plans. Individual compensation packages are based on various factors unique to each candidate including skill set, relevant experience, qualifications, location, position level, and other job-related reasons.
Agency Resumes: We do not accept resumes from recruitment agencies without a prior agreement in place. Any unsolicited resumes submitted by agencies will be considered the property of Hyperfine and will not be subject to any fees or charges if the candidate is hired.

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