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Python Ai Ml Jobs in Connecticut (NOW HIRING)

Commonfund

AI/ML Development Analyst

Norwalk, CT · On-site

$100K - $150K/yr

The ideal candidate will have strong experience in AI/ML development, Agentic AI systems, Python programming, SQL, and web application development . Recent college grads with this experience through ...

AXA Group

Principal AI Architect

Stamford, CT · On-site

$141 - $222.20/hr

Evaluate and recommend AI/ML frameworks, tools, and technologies (LLMs, vector databases ... Proficiency in at least one programming language (Python, Java, C++, Go, etc.) * Experience with ...

New

AXA Group

Principal AI Architect

Hartford, CT · On-site

$141 - $222.20/hr

Evaluate and recommend AI/ML frameworks, tools, and technologies (LLMs, vector databases ... Proficiency in at least one programming language (Python, Java, C++, Go, etc.) * Experience with ...

New

3B Staffing LLC

Data Analytics Engineer (AI)

Stamford, CT

$122K - $146K/yr

Senior AI Data Analytics Engineer Stamford, CT (Hybrid) local only EC:- Financial Services Client GC, USC LLM optimization, prompt engineering, embeddings & vector DBs, Python, ML/AI deployment ...

Franklin Templeton

AI/ML Lead Engineer

Stamford, CT · On-site

$109K - $143K/yr

... seeking an AI/ML Lead Engineer to design and implement agents for financial advisors that ... Expert-level proficiency in Python and experience building distributed services or microservices ...

Franklintempleton

AI/ML Lead Engineer

Stamford, CT · On-site

$109K - $143K/yr

... seeking an AI/ML Lead Engineer to design and implement agents for financial advisors that ... Expert-level proficiency in Python and experience building distributed services or microservices ...

Lindsay & Brownell

AI Solution Architect

Stamford, CT · On-site +1

$67.25 - $88.50/hr

Python, C#, JavaScript/TypeScript, SQL * AI/ML Frameworks: TensorFlow, PyTorch, Scikit-learn, Transformers * Vector Databases: Azure Cosmos DB, Pinecone, or Weaviate * DevOps & MLOps: Azure DevOps, ...

Eisneramper Llp

AI Solution Architect

Stamford, CT · On-site +1

$67.25 - $88.50/hr

Python, C#, JavaScript/TypeScript, SQL * AI/ML Frameworks: TensorFlow, PyTorch, Scikit-learn, Transformers * Vector Databases: Azure Cosmos DB, Pinecone, or Weaviate * DevOps & MLOps: Azure DevOps, ...

Pfizer

Senior ML/AI Cheminformatics Scientist

Groton, CT

$93K - $156K/yr

Maintain best practices in data integrity, reproducibility, and documentation of QSAR AI/ML models ... Proficiency in Python, with experience with cheminformatics libraries and topics (RDKit, OpenEye ...

Cisco

Applied AI Scientist

Stamford, CT

Explore and evaluate new AI/ML techniques, tools, and methodologies, applying relevant innovations ... Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * Experience ...

Infosys

AI Engineer

Hartford, CT · On-site

Required : • Strong programming skills in Python • Hands-on experience with AI/ML frameworks: TensorFlow, PyTorch, LangChain • Expertise In Generative AI, Including RAG (Retrieval-Augmented ...

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All JobsPython Ai Ml JobsPython Ai Ml Jobs in Connecticut

Python Ai Ml information

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, machine learning, or data science, often involving advanced skills in programming, deep learning, and data analysis. Such roles are usually found in senior or executive levels, require extensive experience, and may include responsibilities like leading AI projects or developing innovative solutions.

Is Python good for AI ML?

Python is widely regarded as an excellent programming language for AI and machine learning roles due to its simplicity, extensive libraries like TensorFlow and scikit-learn, and strong community support. It is commonly used by AI/ML professionals for developing models, data analysis, and automation tasks, making it a valuable skill for such jobs.

Which 3 jobs will survive AI?

For a Python AI ML professional, roles such as data scientist, machine learning engineer, and AI researcher are likely to persist due to their reliance on complex problem-solving, domain expertise, and ongoing innovation. These jobs require advanced analytical skills, programming proficiency, and understanding of AI frameworks, making them less susceptible to automation. Continuous learning and staying updated with new tools and techniques are essential for long-term career resilience in this field.

What are Python AI/ML engineers?

Python AI/ML engineers are professionals who use Python programming language to design, develop, and implement artificial intelligence (AI) and machine learning (ML) algorithms and models. Their work involves analyzing data, building predictive models, and deploying machine learning solutions to solve real-world problems. They are skilled in libraries such as TensorFlow, PyTorch, and Scikit-learn, and often collaborate with data scientists and software engineers. These engineers play a key role in transforming data into actionable insights and AI-powered applications.

What are the key skills and qualifications needed to thrive as a Python AI/ML Engineer, and why are they important?

To thrive as a Python AI/ML Engineer, you need strong proficiency in Python programming, a solid background in mathematics and statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), version control systems, and cloud platforms is typically required, along with relevant certifications being advantageous. Analytical thinking, problem-solving, and effective communication are essential soft skills that help translate business needs into technical solutions. These skills ensure the development of accurate, scalable, and efficient AI/ML models that deliver value to organizations.

What is the salary of Python AI ML?

The salary for Python AI ML roles varies depending on experience, location, and industry, but typically ranges from $80,000 to $150,000 annually. Entry-level positions may start lower, while experienced professionals with skills in machine learning, deep learning, and data analysis can earn higher salaries, especially in tech hubs or companies requiring advanced expertise.

How does a Python AI/ML professional typically collaborate with data engineers and domain experts during a project?

Python AI/ML professionals frequently work closely with data engineers to ensure data pipelines are robust, clean, and optimized for modeling. They also collaborate with domain experts to understand business needs, refine problem statements, and interpret results in the context of real-world applications. Effective communication and regular meetings are essential, as these collaborations help bridge technical and business perspectives, ensuring that machine learning solutions are both technically sound and aligned with organizational goals.
What are popular job titles related to Python Ai Ml jobs in Connecticut? For Python Ai Ml jobs in Connecticut, the most frequently searched job titles are:
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Python Ai Ml jobs near you
Infographic showing various Python Ai Ml job openings in Connecticut as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.
AI/ML Development Analyst

AI/ML Development Analyst

Commonfund

Norwalk, CT • On-site

$100K - $150K/yr

Full-time

Posted 18 days ago

Job description

Job Title

AI/ML Development Analyst

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. Recent college grads with this experience through their degree program are welcome to apply.

This role involves building intelligent systems, developing data-driven models, and integrating AI capabilities into scalable applications for business processes at Commonfund. Candidates 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 TensorFlow, 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

  • Machine learning model development
  • LLM applications
  • Agentic AI architecture
  • Data analysis and feature engineering

Tools & Platforms (preferred)

  • Git / version control
  • Cloud platforms (AWS, Azure, GCP)
  • Containerization (Docker)
  • Data visualization tools

Key Competencies

  • 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