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Overnight Machine Learning Testing Jobs in Connecticut

Infosys

AI Engineer

Hartford, CT · On-site

... machine learning techniques and collaborate with technology teams to operationalize them into analytics tools or scripts. • Participate in model testing and validation, selecting the best ...

Iberdrola

Engineer - GEN AI

Orange, CT · On-site

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 ...

Pwc

AI Engineer

Hartford, CT

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... testing, and adversarial benchmarking, to assess reasoning, tool-calling reliability, and output ...

Pwc

AI Engineer

Stamford, CT

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... testing, and adversarial benchmarking, to assess reasoning, tool-calling reliability, and output ...

The Hartford

Staff Software Engineer - AI

Hartford, CT · On-site

$127K - $191K/yr

Evaluate, implement, and scale AI-powered testing tools (e.g., self-healing automation, test generation, predictive defect analytics). * Leverage machine learning and generative AI to improve: * Test ...

Kemper

Data Science Manager

Hartford, CT · Hybrid

... machine learning, and AI technologies. * Strong proficiency in Python and SQL. * Experience with software development best practices, including version control (Git), code reviews, testing, and model ...

Infosys Limited Digital

AI Engineer

Hartford, CT · On-site

$115K - $138K/yr

... machine learning techniques and collaborate with technology teams to operationalize them into analytics tools or scripts. • Participate in model testing and validation, selecting the best ...

Varsity Tutors

Data Science Tutor

Norwalk, CT · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

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Data Science Machine Learning Internship (Summer 2027)

Castleton Commodities International, LLC

Stamford, CT • On-site

Full-time

Posted 10 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.

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