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Python Ml Developer Jobs in Bridgeport, CT (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

Strong DevOps background, including hands-on experience with containerization (Docker, Kubernetes) and CI/CD pipeline automation. * Advanced programming skills in Python, with deep familiarity in ML ...

Gartner

Lead AI Engineer (ML Ops)

Stamford, CT · Hybrid

$109K - $144K/yr

Strong DevOps background, including hands-on experience with containerization (Docker, Kubernetes) and CI/CD pipeline automation. * Advanced programming skills in Python, with deep familiarity in ML ...

Gartner, Inc.

Director, Data Science

Stamford, CT · On-site

Proficiency with Python, ML frameworks (scikit-learn, NLTK, PyTorch, TensorFlow, Hugging Face ... engineering/LLM optimization, AI agent architectures. * Collaborative leader who thrives in ...

Gartner

Director, Data Science

Stamford, CT · Remote

Proficiency with Python, ML frameworks (scikit-learn, NLTK, PyTorch, TensorFlow, Hugging Face ... engineering/LLM optimization, AI agent architectures. * Collaborative leader who thrives in ...

Gartner

Director, Data Science

Stamford, CT · Remote

Proficiency with Python, ML frameworks (scikit-learn, NLTK, PyTorch, TensorFlow, Hugging Face ... engineering/LLM optimization, AI agent architectures. * Collaborative leader who thrives in ...

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.

Pwc

GenAI Python Systems Engineer-Manager

Stamford, CT

$99K - $232K/yr

... and ML solutions to drive innovation and enhance business processes. Your work will involve ... and deploying DevOps pipelines with cloud services - Enhancing cloud resources for cost and ...

Pwc

GenAI Python Systems Engineer-Manager

Melville, NY · On-site

$99K - $232K/yr

... and ML solutions to drive innovation and enhance business processes. Your work will involve ... and deploying DevOps pipelines with cloud services - Enhancing cloud resources for cost and ...

Pwc

GenAI Python Systems Engineer-Director

Stamford, CT · On-site

$155K - $410K/yr

... and ML solutions to drive innovation and enhance business processes. Your work will involve ... Data Engineer Associate] is a plus - Proficient in Python and structured/unstructured data ...

Purple Drive Technologies

SRE Support Engineer

Stamford, CT · On-site

$60.75 - $80.75/hr

Implement AI/AgenticAI/ML models using frameworks like ChromaDB, PyTorch, Jira, OpenAI, lanchain ... Strong proficiency in Python and experience with AI frameworks * Experience with CI/CD pipelines ...

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Python Ml Developer information

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How much do python ml developer jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for python ml developer in Bridgeport, CT is $59.60, according to ZipRecruiter salary data. Most workers in this role earn between $49.13 and $67.69 per hour, depending on experience, location, and employer.

What does a Python ML Developer do?

A Python ML Developer designs, builds, and deploys machine learning models using the Python programming language. They work with large datasets, clean and process data, select appropriate algorithms, and use libraries like TensorFlow, PyTorch, or scikit-learn to implement solutions. Their work often involves collaborating with data scientists and engineers to integrate machine learning models into applications. Additionally, they may be responsible for testing, tuning, and optimizing models to achieve the best possible performance in real-world scenarios.

What are some common challenges Python ML Developers face when deploying machine learning models to production?

Python ML Developers often encounter challenges such as ensuring model scalability, managing dependencies, and maintaining reproducibility when deploying models into production environments. Integrating machine learning models with existing systems can require close collaboration with DevOps and software engineering teams to streamline workflows and automate deployment pipelines. Additionally, monitoring model performance over time and handling data drift are crucial responsibilities to ensure continued accuracy and reliability of deployed solutions.

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

To thrive as a Python ML Developer, you need strong programming skills in Python, a solid understanding of machine learning algorithms, and a background in mathematics or statistics, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools and libraries such as TensorFlow, scikit-learn, PyTorch, and version control systems like Git is essential, along with experience using data visualization and cloud platforms. Critical soft skills include problem-solving, adaptability, and effective communication to collaborate with cross-functional teams and explain complex models to stakeholders. These skills ensure the successful development, deployment, and maintenance of machine learning solutions that drive business value.

What is the difference between Python Ml Developer vs Data Scientist?

AspectPython Ml DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; Python, ML certificationsBachelor's/Master's in Data Science, Statistics, or related; Python, ML certifications
Work EnvironmentSoftware development teams, AI/ML projectsResearch, data analysis, modeling teams
Employer & Industry UsageTech companies, startups, AI firmsFinance, healthcare, tech, research institutions
Common Search & ComparisonYesYes

Python ML Developers focus on building and deploying machine learning models using Python, often working closely with software engineering teams. Data Scientists analyze data, create models, and generate insights, often using Python along with statistical tools. While both roles require Python and ML knowledge, Python ML Developers are more involved in implementation and deployment, whereas Data Scientists focus on data analysis and research.

What are popular job titles related to Python Ml Developer jobs in Bridgeport, CT? For Python Ml Developer jobs in Bridgeport, CT, the most frequently searched job titles are:
What job categories do people searching Python Ml Developer jobs in Bridgeport, CT look for? The top searched job categories for Python Ml Developer jobs in Bridgeport, CT are:
What cities near Bridgeport, CT are hiring for Python Ml Developer jobs? Cities near Bridgeport, CT with the most Python Ml Developer job openings:
Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in Bridgeport, CT as of May 2026, with employment types broken down into 81% Full Time, 9% Part Time, and 10% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $123,977 per year, or $59.6 per hour.
AI/ML Development Analyst

AI/ML Development Analyst

Commonfund

Norwalk, CT • On-site

$100K - $150K/yr

Full-time

Posted 27 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