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AI​/ML Development Analyst Grads

Job in Norwalk, Fairfield County, Connecticut, 06860, USA
Listing for: Commonfund
Full Time position
Listed on 2026-08-28
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist, Python
Salary/Wage Range or Industry Benchmark: 100000 - 150000 USD Yearly USD 100000.00 150000.00 YEAR
Job Description & How to Apply Below
Position: AI/ML Development Analyst (Immediate Hire, 2026 Grads)

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

AI/ML Development Analyst (Immediate Hire, 2026 Grads)

Norwalk, CT, US

Salary Range: $ To $ Annually

Job Title

AI/ML Development Analyst (Immediate Hire, 2026 Grads)

Job Summary

Commonfund is seeking a highly motivated AI/ML Development Analyst to design, develop, and deploy advanced artificial intelligence and machine learning solutions. The ideal candidate will have strong experience in AI/ML development, Agentic AI systems, Python programming, SQL, and web application development
.

This role involves building intelligent systems, developing data-driven models, and integrating AI capabilities into scalable applications for business processes didates should have a strong analytical mindset and an interest in applying AI/ML solutions within the financial domain
.

Key Responsibilities

  • Design, develop, and deploy machine learning and AI-driven solutions for business and financial applications.
  • Build and implement Agentic AI systems
    , including autonomous workflows and multi-agent architectures.
  • Develop and maintain data pipelines, model training workflows, and inference services
    .
  • Analyze large datasets to extract insights and build predictive or decision-support models.
  • Design and implement APIs and web-based interfaces for AI/ML solutions.
  • Write efficient and scalable code using Python and related frameworks.
  • Use SQL to query, transform, and analyze structured data.
  • Collaborate with cross-functional teams including product, engineering, and data teams to integrate AI capabilities into applications.
  • Evaluate new AI/ML techniques, frameworks, and research for potential adoption.
  • Document models, algorithms, and system architectures.
  • Ensure solutions follow best practices for security, scalability, and reliability
    .

Required Qualifications

  • Bachelor’s or Master’s degree in Mathematics, Data Science, Computer Science with Artificial Intelligence, or a related field
    .
  • Strong experience with Python programming
    .
  • Minimum one year hands‑on experience developing machine learning or AI-based solutions
    .
  • Experience building or working with Agentic AI systems or autonomous AI workflows
    .
  • Strong knowledge of SQL and database systems
    .
  • Experience with web development frameworks or API development
    .
  • Experience with ML frameworks as Tensor Flow, PyTorch, or Scikit-learn
  • Strong analytical, problem-solving, and debugging skills.
  • Ability to work independently and collaboratively in a fast‑paced environment.

Preferred Qualifications

  • Experience working with financial data
    and developing
    financial applications
    .
  • Experience with LLM integration, prompt engineering, and AI orchestration frameworks
    .
  • Knowledge of data engineering pipelines and cloud platforms (AWS, Azure).
  • Experience building production-grade AI applications
    .

Technical Skills

Programming & Development

  • Python
  • SQL
  • REST APIs
  • Web development (e.g., Svelte, FastAPI, or similar)
  • Experience with C# programming and other Microsoft tools preferred.

AI/ML

  • LLM applications
  • Agentic AI architecture
  • Data analysis and feature engineering

Tools & Platforms (preferred)

  • Git / version control
  • Containerization (Docker)
  • Data visualization tools
  • Analytical thinking and quantitative reasoning
  • Strong problem-solving ability
  • Curiosity and continuous learning in AI technologies
  • Ability to translate business problems into technical AI solutions
  • Interest in applying AI within the financial and investment domain
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