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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 ...

Gartner

Lead AI Engineer (ML Ops)

Stamford, CT · Hybrid

$109K - $143K/yr

Advanced programming skills in Python, with deep familiarity in ML frameworks (TensorFlow, PyTorch, Scikit-learn). * Proficient in leveraging cloud platforms (AWS, Azure, GCP) and their native AI/ML ...

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 ...

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 ...

Infosys

AI Engineer

Hartford, CT · On-site

$115K - $138K/yr

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

Diversity Nexus

Senior AI Architect

Hartford, CT · On-site

... Python and related frameworks. * Collaboration & Ecosystem Management: Partner closely with ... Stay ahead of emerging trends in AI/ML, LLMs, and MLOps to continuously enhance solution quality ...

JobTarget

Agentic AI Developer Intern

Stamford, CT · On-site

$27 - $30/hr

You will work closely with software engineers, AI/ML engineers, product managers, and data teams to ... Write clean, efficient, and well-documented code in Python or another modern programming language.

Purple Drive

Senior AI Architect

Hartford, CT · On-site

... using Python and related frameworks. Collaboration & Ecosystem Management: Partner closely with ... Stay ahead of emerging trends in AI/ML, LLMs, and MLOps to continuously enhance solution quality ...

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Python Ai Ml information

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.

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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What cities in Connecticut are hiring for Python Ai Ml jobs? Cities in Connecticut with the most Python Ai Ml job openings:
Python Ai Ml jobs near you
AI/ML Development Analyst

AI/ML Development Analyst

Commonfund

Norwalk, CT • On-site

$100K - $150K/yr

Full-time

Posted 16 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