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Overnight Machine Learning Testing Jobs in Connecticut

Machine Learning Engineer

Shelton, CT · On-site

$150 - $200/hr

Set the team's engineering standards: testing, code review, environments, CI/CD, and release ... Experience putting machine learning models or statistical analyses into production and keeping them ...

... testing, code review, environments, CI/CD, and release practice • Work with the cloud engineering ... machine learning models or statistical analyses into production and keeping them running • ...

... rigorous testing. By putting theory into practice, we have become a leader in alternative ... for machine learning by developing robust data preparation and quality workflows Your ...

Machine Learning Engineer

Shelton, CT · On-site

$150 - $200/hr

Machine Learning Engineer Sperry Rail, Inc. Shelton, Connecticut, United States About this position ... Set the team's engineering standards: testing, code review, environments, CI/CD, and release ...

... testing. Underpinning this philosophy is an unrelenting commitment to excellence in technology ... for machine learning by developing robust data preparation and quality workflows . Your ...

Develop and implement comprehensive testing protocols, including smoke tests and unit tests, to ensure solution reliability. * Support the debugging process and issue triage to maintain solution ...

Senior AI Machine Learning Engineer

Hartford, CT · On-site

$123K - $162K/yr

The Hartfordis seeking aSenior AI Machine Learning Engineerwithin Employee Benefits Applied AI and ... Strong hands-on expertise in Python, SQL, SDLC practices, Git-based development, automated testing ...

Engineer - GEN AI

Orange, CT · On-site

$150 - $200/hr

Assists in collecting and cleaning relevant datasets to ensure their suitability for machine learning tasks * Performs thorough testing and evaluation of AI models to ensure their performance meets ...

Engineer - GEN AI

Orange, CT · On-site

$122K - $147K/yr

Assists in collecting and cleaning relevant datasets to ensure their suitability for machine learning tasks * Performs thorough testing and evaluation of AI models to ensure their performance meets ...

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Overnight Machine Learning Testing information

What cities in Connecticut are hiring for Overnight Machine Learning Testing jobs?

Cities in Connecticut with the most Overnight Machine Learning Testing job openings:

Data Science Machine Learning Internship (Summer 2027)

Stamford, CT • On-site

Castleton Commodities International LLC
Oil and Gas Extraction • 501 - 1,000 employees

Full-time

Re-posted 19 days ago


Job description

Application Deadline: September 1, 11:59pm EST

Program Summary - Commercial Technology Internships

Company Overview:

Castleton Commodities International is a leading global energy commodities merchant and infrastructure asset investor. As a trader, CCI deploys capital on a proprietary basis in the physical and financial commodity markets, providing the Company with market insights and access. As a strategic investor and developer, CCI leverages its market expertise, operations capabilities, and industry knowledge to invest in, and develop, select commodity infrastructure assets. Our strategically integrated platform has generated strong risk-adjusted returns for our investors since our formation.

Position Overview:

CCI is developing a leading-edge Data Science platform, as staying at the forefront of data management and analytics is essential to our investment strategy. We are looking for motivated and detail-oriented Machine Learning Interns with a strong interest in quantitative analysis, particularly time series forecasting to join our Global Data Science team in Stamford, CT, Houston, TX, or New York City offices. Our Machine Learning Internship provides a unique opportunity to work with fundamental market data, generating insights that support our commercial trading business. You will be responsible for analyzing time series data related to market fundamentals in the Power, Natural Gas, and Oil sectors, helping to identify key supply and demand drivers. These insights will play a vital role in forecasting price movements and supporting risk management decisions.

Responsibilities:

  • Apply mathematical and statistical knowledge to enhance existing machine learning applications and explore new solutions.
  • Work closely with Data Scientists, Analysts, and Traders to design, implement, and optimize machine learning models for time series forecasting, including ARIMA/SARIMA, gradient boosting methods (e.g., XGBoost), LSTM networks, and linear regression-based approaches.
  • Assist in designing and implementing end-to-end data ingestion processes, ensuring seamless data flow to investing teams.
  • Work with desk heads, traders, and analysts to understand current data architecture, investment processes, and functional requirements for data science analysis.
  • Contribute to identifying and back-testing new data sets, leveraging machine learning techniques to drive insights.
  • Conduct ad hoc research on emerging project topics, including energy fundamental data, analytics trends, and best practices in big data and artificial intelligence.

Qualifications:

  • Currently pursuing a Bachelor's Degree or higher in Mathematics, Statistics, Physics, Computer Science or related technical field with a focus in Machine Learning.
  • Expected graduation date of Winter 2027 or Spring/Summer 2028.
  • Experience applying machine learning techniques such as regression, time series forecasting, deep learning, reinforcement learning, or predictive modeling to solve problems involving complex data patterns and market dynamics.
  • Strong programming experience in Python (preferred libraries: Pandas, NumPy, etc.)
  • Ability to communicate and interact with a wide range of users, from very technical to non-technical backgrounds.
  • Strong analytical skills with demonstrated attention to detail.