ZipRecruiter

Log In

1

Python Ai Ml Jobs in Connecticut (NOW HIRING)

Catalyst Labs

ML Engineer

Stamford, CT · On-site

Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data ... Python (TypeScript experience is a plus). • Hands-on experience with ML frameworks such as ...

Catalyst Labs

ML Engineer

Greenwich, CT · On-site

Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data ... Python (TypeScript experience is a plus). • Hands-on experience with ML frameworks such as ...

FAVARH

AI Principal Engineer

Windsor, CT · On-site

$192K - $240K/yr

Strong proficiency in programming languages such as Python, TypeScript, or Rust * Experience with AI/ML frameworks, LLM technologies, and data pipelines * Knowledge of model lifecycle management ...

Voya Financial, Inc.

AI Principal Engineer

Windsor, CT · On-site

$192K - $240K/yr

Strong proficiency in programming languages such as Python, TypeScript, or Rust * Experience with AI/ML frameworks, LLM technologies, and data pipelines * Knowledge of model lifecycle management ...

FAVARH

AI Principal Engineer

Windsor, CT · On-site

$192K - $240K/yr

Strong proficiency in programming languages such as Python, TypeScript, or Rust * Experience with AI/ML frameworks, LLM technologies, and data pipelines * Knowledge of model lifecycle management ...

Voya Financial, Inc.

AI Principal Engineer

Windsor, CT · On-site

$192K - $240K/yr

Strong proficiency in programming languages such as Python, TypeScript, or Rust * Experience with AI/ML frameworks, LLM technologies, and data pipelines * Knowledge of model lifecycle management ...

Infosys

AI Engineer

Hartford, CT · On-site

$115K - $138K/yr

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

Deloitte

Associate AI Solution Architect

Hartford, CT

$63.50 - $83.75/hr

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate ... ML-enabled products. * Hands-on software engineering capability in Python and/or a modern full ...

Deloitte

Associate AI Solution Architect

Stamford, CT · On-site

$67.25 - $88.50/hr

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate ... ML-enabled products. * Hands-on software engineering capability in Python and/or a modern full ...

previous page

Showing results 41-60

All JobsPython Ai Ml JobsPython Ai Ml Jobs in Connecticut

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.

ML Engineer

Stamford, CT • On-site

Catalyst Labs
See more jobs at Catalyst Labsexternal

Full-time

Re-posted 28 days ago

Job description

Job Summary:
Catalyst Labs is a leading talent agency specializing in Applied AI, Machine Learning, and Data Science. They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, focusing on audio data and real-time audio understanding, while collaborating with cross-functional teams to drive innovation in AI applications.
Responsibilities:
• Design, build, and deploy production-grade ML systems with end-to-end ownership of the model lifecycle from conception to deployment and maintenance.
• Architect and deliver AI-powered solutions enabling natural speech interaction and real-time audio understanding.
• Develop and optimize ML models focused on audio data to extract business-critical insights from previously unstructured voice data.
• Build agents capable of operating natively on real-world audio inputs.
• Collaborate with cross-functional teams to shape the foundations of the AI stack, improve tooling, and drive innovation in LLM and audio ML applications.
• Work directly with customers to identify needs, gather feedback, and deliver impactful real-world solutions.
• Handle the entire AI lifecycle, including data acquisition, preprocessing, model training, deployment, inference, and monitoring in production environments.
• Participate in continuous improvement of the ML infrastructure and processes for scalability and performance.
Qualifications:
Required:
• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
• 1-6 years of professional experience in ML engineering.
• Strong programming skills in Python (TypeScript experience is a plus).
• Hands-on experience with ML frameworks such as PyTorch or TensorFlow.
• Familiarity with cloud environments and infrastructure (preferably AWS).
• Strong understanding of data pipeline design, real-time inference, and model monitoring.
• Excellent communication skills with the ability to engage directly with customers and stakeholders.
• Proven experience building and deploying ML models into production environments.
• Demonstrated ability to own the full model lifecycle from data ingestion and model development to deployment and monitoring.
• Experience with audio-focused ML projects or similar domains involving unstructured data.
• Proficiency in building scalable data pipelines for model training and evaluation.
• Solid grasp of ML systems architecture, feature engineering, evaluation strategies, and deployment best practices.
Preferred:
• Familiarity with FastAPI, OpenAI APIs, Baseten, LiteLLM, LiveKit, PostgreSQL, Redis, and S3 is a plus.
Company:
Welcome to Catalyst Labs – Powering Catalytic Growth At Catalyst Labs, catalytic growth isn't just a concept, it's our driving force. Founded in , the company is headquartered in London, GB, , with a team of 11-50 employees. The company is currently Early Stage.

Apply