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Insight Global is seeking a highly experienced Senior Data Scientist to join a cutting-edge AI organization focused on transforming engineering productivity through intelligent software solutions. The team develops AI-powered tools to help engineers automate complex workflows and accelerate decision-making.
We focus on scaling and deploying AI solutions across the enterprise, including LLM applications and computer vision projects that directly impact engineering teams and business outcomes.
-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
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.
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.