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Python Ai Ml Jobs in Connecticut (NOW HIRING)

MDAEdge

.Net Software Engineering Manager

Hartford, CT · On-site

... Python. • Streamlit. • C#. • .NET Core. • Golang. • SQL. • NoSQL. • CI/CD. • DevSecOps. Preferred : • 3+ years with AI/ML and GenAI preferred. • AI/ML (preferred) Company : The ...

CVS Health

AI/LLM Engineer

Hartford, CT · On-site

$101K - $203K/yr

Strong programming experience in Python and familiarity with software engineering best practices. * Hands-on experience building production-grade AI/ML systems, not just prototypes. * Experience ...

CYNET SYSTEMS

Prompt Engineering Specialist

Hartford, CT · On-site

$55 - $60/hr

Familiarity with Snowflake Cortex or similar AI/ML platforms. * Healthcare domain knowledge (Medicare STARS a plus). * Proficiency in Python or SQL for data interaction. Responsibilities: * Design ...

Gartner

Sr Data Scientist

Stamford, CT · On-site

... ML/AI technology solutions into actionable business strategies and influence executive leadership * Experience and proficiency with Python, deep learning frameworks (e.g., PyTorch, TensorFlow ...

Gartner

Sr Data Scientist

Stamford, CT

... ML/AI technology solutions into actionable business strategies and influence executive leadership * Experience and proficiency with Python, deep learning frameworks (e.g., PyTorch, TensorFlow ...

Gartner

Sr Data Scientist

Stamford, CT · On-site

... ML/AI technology solutions into actionable business strategies and influence executive leadership * Experience and proficiency with Python, deep learning frameworks (e.g., PyTorch, TensorFlow ...

Gartner, Inc.

Sr Data Scientist

Stamford, CT · On-site

... ML/AI technology solutions into actionable business strategies and influence executive leadership * Experience and proficiency with Python, deep learning frameworks (e.g., PyTorch, TensorFlow ...

Gartner

Director, Data Science

Stamford, CT · Remote

Stay current on fast-moving AI/ML advancements, particularly LLMs, conversational AI, agentic ... Proficiency with Python, ML frameworks (scikit-learn, NLTK, PyTorch, TensorFlow, Hugging Face ...

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Python Ai Ml information

What is a Python AI ML engineer?

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.

How does a Python AI ML engineer 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 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.

Is Python good for AI ML?

Python is widely used in AI and ML roles due to its simplicity, extensive libraries like TensorFlow and scikit-learn, and strong community support. It is considered one of the best programming languages for developing machine learning models and artificial intelligence applications.

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:

What job categories do people searching Python Ai Ml jobs in Connecticut look for?

The top searched job categories for Python Ai Ml jobs in Connecticut are:

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
Infographic showing various Python Ai Ml job openings in Connecticut as of August 2026, with employment types broken down into 74% Full Time, 19% Part Time, 2% Temporary, and 5% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

.Net Software Engineering Manager

MDAEdge

Hartford, CT • On-site

Full-time

Re-posted 25 days ago

Job description

Job Summary:
MDAEdge is a company seeking a .Net Software Engineering Manager to lead teams in delivering high-quality software solutions. The role involves providing technical leadership, collaborating with cross-functional teams, and ensuring the team's accountability for customer and business outcomes.
Responsibilities:
• Drive accountability for customer and business outcomes by leading teams to solve complex problems with lean, high-quality designs.
• Provide technical leadership, advocating for evolutionary releases like alpha, beta, and MVP while ensuring code integrity, quality, architecture, and alignment with goals.
• Stay hands-on with design, code, reviews, optimizations, and standards to boost team velocity, resolve blockers, address technical debt, and maintain comprehensive quality.
• Learn and experiment with new technologies, mentoring engineers to apply them effectively.
• Develop lean solutions via rapid experimentation, engaging customers and product teams for timely delivery.
• Favor iterative, evidence-based delivery over extensive planning to handle complexity with supportable solutions.
• Collaborate with cross-functional teams (product, experience, delivery, infrastructure, security) to balance feasibility, viability, usability, and value.
• Apply expertise in Agile, DevSecOps, CI/CD, Blue-Green/Canary deployments, and A/B testing to optimize delivery with minimal waste.
• Acquire domain knowledge quickly, translating business needs into engineering plans like sprints and tasks.
• Communicate complex technical concepts clearly, influencing stakeholders with evidence-based arguments.
• Build relationships across levels, fostering co-creation and consensus for feasible solutions.
Qualifications:
Required:
• Bachelor's degree in computer science, software engineering, or related field; advanced degree preferred but experience is key.
• 10+ years in programming (Angular, React, NodeJS, Python, Streamlit, C#, .NET Core, Golang, SQL/NoSQL, unit testing); 5+ years managing engineering teams from inception to delivery.
• 5+ years hands-on with cloud-native engineering (FaaS/PaaS/microservices on Azure).
• Deep knowledge of XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube for rapid, high-quality delivery.
• Strong foundation in software architecture/design (BCD, sequence/activity/state/ER/DFD diagrams, OOP/OOD, data structures, algorithms, code instrumentation).
• Excellent interpersonal and organizational skills to manage diverse situations, projects, and priorities with passion, empathy, and care.
• Technical leadership and mentorship.
• Cross-functional collaboration.
• Customer-centric problem-solving.
• Iterative delivery mindset.
• Effective communication and influence.
• Domain knowledge acquisition.
• Agile/DevSecOps/SRE methodologies.
• Angular.
• React.
• Node.js.
• Python.
• Streamlit.
• C#.
• .NET Core.
• Golang.
• SQL.
• NoSQL.
• CI/CD.
• DevSecOps.
Preferred:
• 3+ years with AI/ML and GenAI preferred.
• AI/ML (preferred)
Company:
The world doesn't have a talent shortage. It has a talent alignment problem. MDA Edge exists to fix that. Founded in , the company is headquartered in Sheridan, WY, US, , with a team of 51-200 employees. The company is currently Growth Stage.

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