AI/ML Development Analyst
Listed on 2026-06-04
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Software Development
AI Engineer, Machine Learning/ ML Engineer
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AI/ML Development AnalystNorwalk, CT, US
6 days ago Requisition
Salary Range: $ To $ Annually
Job SummaryCommonfund 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
.
- 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
.
- 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.
- 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
.
- Python
- SQL
- REST APIs
- Web development (e.g., Svelte, FastAPI, or similar)
- Experience with C# programming and other Microsoft tools preferred.
- LLM applications
- Agentic AI architecture
- Data analysis and feature engineering
- 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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