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

DevOps Engineer III- PxE Talent

Stamford, CT · On-site

$56.25 - $77/hr

Experience is the most relevant factor. • 4+ years proven experience with Python, Bash ... ML, GenAI, and specifically AIOps. • Ability to travel 10%, on average, based on the work you do ...

Strong proficiency in at least one modern programming language (Python, Java, JavaScript, Rust or ... Experience with AI/ML integrations or data-intensive systems * Exposure to containerization ...

Develop and maintain CI/CD pipelines and ML lifecycle automation to accelerate model development ... Strong scripting and programming skills in Python and Bash and proven experience operating Linux ...

Sales Engineering Seniority Level: Mid-Senior level At Cloudera, we empower people to transform ... EDW experience - Teradata, Netezza, GreenPlum, Exadata Data Science and ML experience - (R, Python ...

Algorithms, C++ Programming Language, Computer Vision, Data Science, Deep Learning, Machine Learning (ML), Natural Language, Python (Programming Language), Researching, Statistical Models

Proficiency in Python or R for statistical modeling and data wrangling. * Strong communication ... Advanced degree (MS/PhD) and/or relevant certifications (data science and AI/ML). * Experience ...

Agentic AI, AI & Data Senior Consultant

Stamford, CT · On-site

$113K - $153K/yr

... AI/ML solutions using Python * 1+ years of direct experience developing agentic AI systems ... Azure AI Engineer Associate, Azure Solutions Architect Expert; AWS Certified Machine Learning ...

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Python Ml Developer information

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$13

$59

$87

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:
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.
DevOps Engineer III- PxE Talent

DevOps Engineer III- PxE Talent

Deloitte

Stamford, CT • On-site

$56.25 - $77/hr

Full-time

Posted 5 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services


Job description

Job Summary:
Deloitte is a leading professional services firm, and they are seeking a DevOps Engineer III to engage in high-visibility projects. The role involves leveraging SRE engineering practices and advanced programming skills to deliver operational solutions, improve system stability, and collaborate across teams to drive business value.
Responsibilities:
• Implementation of cost-effective platform operations, improving stability/resilience and automating optimizations to reduce maintenance effort and meet business KPIs.
• Follow SRE practices aligned to business goals and standards; leads requirement analysis, automation, integration, monitoring/dashboarding, and ongoing operational support.
• Configures, integrates, and maintains systems, helps solve complex problems through operational automations and predictive analytics. Works with the team to identify bottlenecks and optimizations, adhering to defined standards/SLAs.
• Develops and iterates operational solutions with customers and product teams; responds to incidents rapidly to minimize downtime and user impact.
• Delivers lean, supportable solutions in small increments; validates with evidence, learns fast, and adapts execution to navigate ambiguity and complexity.
• Collaborates with product, delivery, infrastructure, and security teams; partners with COTS vendors to validate operational capabilities; integrates diverse perspectives to drive decisions, synergy, and innovation.
• Applies intermediate SRE practices (Agile, DevSecOps, CI/CD) to improve automation and quality; supports the product lifecycle from design through scaling with continuous improvement and learning.
• Learns domain/product/COTS context quickly; translates business and user needs into operational plans and automations; navigates product, UX, engineering, compliance, and security to drive feasible product value.
• Communicates SRE concepts clearly; influences with evidence-based trade-offs, evaluations, and research; connects technical decisions to business objectives through coherent narratives.
• Engages product engineering teams and customers as needed; builds trusted relationships and a co-creation culture; drives consensus across diverse viewpoints to deliver feasible solutions.
Qualifications:
Required:
• A bachelor's degree in computer science, software engineering, or a related discipline. Experience is the most relevant factor.
• 4+ years proven experience with Python, Bash, PowerShell, JavaScript, C#, and Golang.
• 3+ years of hands-on experience in implementing and administering monitoring solutions (Dynatrace, Grafana, Cloud Watch, Azure Monitor).
• 4+ years of hands-on experience in hosting highly available cloud native applications, using auto-scaling, self-resilient architectures, across various cloud service providers such as Azure, AWS and GCP.
• 2+ years of hands-on experience with troubleshooting application and infrastructure issues in production environment, with high accuracy, conducting root cause analysis, providing preventive measures based on RCA on multiple cloud providers.
• 2+ years of experience in defining SLO and SLI for cloud native applications, measuring, reporting and alerting using custom scripts or monitoring solutions.
• 1+ years of experience with AI/ML, GenAI, and specifically AIOps.
• Ability to travel 10%, on average, based on the work you do and products you build.
• Limited immigration sponsorship may be available.
Preferred:
• Prior experience with cloud providers security practices, networking, cloud administration, database technologies and maintenance, firewalls, and load balancers.
• Prior software engineering experience with the understanding of Business Context Diagrams (BCD), sequence/activity/state/entity relationship/data flow diagrams, OOP/OOD, data structures, algorithms, and code instrumentations.
• Prior experience using methodologies & tools such as XP, Lean, SAFe, DevSecOps, CI/CD, SRE, ADO, GitHub, SonarQube, etc. to deliver high-quality products rapidly.
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.

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