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Hybrid Sr. Data Scientist (AI/ML)

  • East Hartford, CT, United States

From $71 USD / hour

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Job details

Pay
From $71 USD / hour
Experience
10+ years of professional experience in data science, machine learning, software engineering, or related technical disciplines.
Posting language
English
Posted

Original job description

Required Skills & Experience

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 -Experience using source control and modern development practices with GitHub. -Experience working with containerization technologies such as Docker. -Strong cloud experience in AWS -Experience with SQL and/or NoSQL databases. -Bachelor's, Master's, or PhD in Computer Science, Data Science, Engineering, Mathematics, or a related field.

Nice to Have Skills & Experience

n/a

Job Description

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.

More about this job

Skills

  • ML
  • Machine learning
  • Python
  • NumPy
  • SciPy
  • Scikit-learn
  • GitHub
  • Docker
  • AWS
  • SQL
  • NoSQL
  • Computer science
  • Decision making

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