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Python Ml Developer Jobs in Bridgeport, CT (NOW HIRING)

Data Analytics Engineer (AI)

Stamford, CT ยท On-site

$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 ...

... Python (TypeScript experience is a plus). โ€ข Hands-on experience with ML frameworks such as ... feature engineering, evaluation strategies, and deployment best practices. Preferred : โ€ข ...

... Python (TypeScript experience is a plus). โ€ข Hands-on experience with ML frameworks such as ... feature engineering, evaluation strategies, and deployment best practices. Preferred : โ€ข ...

AI/ML Development Analyst

Norwalk, CT ยท 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 ...

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

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

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

... 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 ...

... 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 ...

Google Data Specialist

Carmel, NY ยท On-site

$70K - $196K/yr

Collaborate closely with senior data engineers, ML engineers, and architects. * Contribute to ... Minimum of 2 years of experience with Python or AI or GenAI tools (Vertex AI preferred). * Bachelor ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

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Python Ml Developer information

See Bridgeport, CT salary details

$13

$59

$87

How much do python ml developer jobs pay per hour?

As of Aug 5, 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?

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:
Infographic showing various Python Ml Developer job openings in Bridgeport, CT as of July 2026, with employment types broken down into 78% Full Time, 10% Part Time, 1% Temporary, and 11% 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.

Data Analytics Engineer (AI)

3B Staffing LLC

Stamford, CT โ€ข On-site

$122K - $146K/yr

Full-time

Posted 15 days ago


Job description

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, MLOps (CI/CD, monitoring, governance), cloud (Azure/AWS/GCP), API integration, and scalable data engineering (Financial Services preferred). AI Configuration & Optimization
  • Configure, fine-tune, and optimize Large Language Models (LLMs) and advanced ML models
  • Develop and manage prompt engineering frameworks, embeddings, and vector databases
  • Translate business requirements into AI-powered workflows and intelligent automation solutions
AI Implementation & Delivery
  • Deploy production-ready ML/AI models and data pipelines
  • Integrate AI capabilities into enterprise applications, APIs, and analytics platforms
  • Build scalable, end-to-end AI and data solutions aligned with business goals
  • Ensure solutions deliver measurable performance and operational impact AI Infrastructure & MLOps
  • Design and maintain MLOps frameworks including CI/CD pipelines
  • Implement model monitoring, versioning, governance, and performance optimization
  • Work across cloud platforms (Azure, AWS, or GCP) to scale AI workloads
  • Enhance reliability, security, and compliance of AI systems
Required
  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field
  • 5+ years of experience in Data Engineering, AI Engineering, or ML Engineering roles
  • Hands-on experience with LLMs, prompt engineering, embeddings, and vector databases
  • Strong programming skills in Python (preferred)
  • Experience deploying ML/AI models into production environments
  • Solid understanding of cloud platforms (Azure, AWS, or GCP)
  • Experience building CI/CD pipelines for AI/ML systems
Preferred
  • Experience in Financial Services domain
  • Familiarity with API development and microservices architecture
  • Experience with model governance, compliance, and AI risk frameworks
  • Knowledge of scalable distributed data systems