Sr. Hybrid Data Scientist (AI/ML)

Insight Global
East Hartford, CT, United States
5 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Computing Github Python (Programming Language) Machine Learning NoSQL NumPy Scientific Computating SciPy Software Engineering
+10 more
SQL Databases Large Language Models Prompt Engineering Generative AI Pandas Containerization Scikit Learn Information Technology Software Version Control Docker

Requirements

10+ years of professional experience in data science, machine learning, software engineering, or related technical disciplines. -Strong Python development experience with hands-on expertise using scientific computing libraries such as: NumPy SciPy Pandas (preferred) Scikit-learn (preferred) -Proven experience building and deploying AI/ML applications in production environments. -Hands-on experience with: Large Language Models (LLMs) Prompt engineering Generative AI application development Machine learning model development and deployment -Experience using source control and modern development practices with GitHub. -Experience working with containerization technologies such as Docker. -Strong cloud experience in AWS and/or Microsoft Azure. -Experience with SQL and/or NoSQL databases. -Bachelor’s, Master’s, or PhD in Computer Science, Data Science, Engineering, Mathematics, or a related field. n/a

About the company

We are seeking a highly experienced Senior Data Scientist to join a cutting-edge AI organization focused on transforming engineering productivity through intelligent software solutions. This team operates within a rapid-response innovation group that develops and deploys AI-powered tools designed to help engineers work more efficiently, automate complex workflows, and accelerate decision-making.

The team has successfully delivered multiple proof-of-concept applications and is now focused on scaling, productionizing, and operationalizing AI solutions across the enterprise. Projects include both Large Language Model (LLM) applications and computer vision solutions that directly impact engineering teams and business outcomes.

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