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Data Scientist; ML, AWS​/Azure

Job in Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listing for: Veriipro
Full Time position
Listed on 2026-07-05
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist, Data Analyst
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below
Position: Data Scientist (ML, AWS/Azure)

We are seeking a highly skilled Senior Data Scientist / AI/ML Developer with strong expertise in AI/ML, NLP, Deep Learning, LLMs, and Generative AI models. The ideal candidate will leverage advanced data science techniques, cloud computing (AWS/Azure), and Python programming to build and optimize data-driven solutions, enabling the business to solve complex problems effectively.

Key Responsibilities
  • Design, develop, and deploy AI/ML, NLP, and Deep Learning solutions, including LLMs and Generative AI models.
  • Build and optimize machine learning models to address complex business problems.
  • Implement and integrate OpenAI APIs and other AI/ML frameworks.
  • Conduct data analysis using libraries like pandas, Num Py, and visualize insights with tools such as Matplotlib, Seaborn, or Power BI/Tableau.
  • Develop Python scripts and automation workflows to streamline data processing and model deployment.
  • Work with cloud platforms (AWS/Azure) for model deployment, data storage, and processing pipelines.
  • Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
  • Participate in Agile development processes, including sprint planning, code reviews, and iterative solution development.
  • Communicate complex technical concepts clearly to both technical and non-technical stakeholders.
Required Technical Skills
  • Programming:
    Python (advanced scripting, libraries like pandas, Num Py, scikit-learn, Tensor Flow, PyTorch)
  • AI/ML Expertise:
    Machine Learning, NLP, Deep Learning, LLMs, Generative AI models
  • Cloud Computing: AWS and/or Azure experience, including deployment of AI/ML workloads
  • Data Processing & Visualization:
    Pandas, Num Py, Matplotlib, Seaborn, Power BI/Tableau
  • API Integration:
    Web API calls, OpenAI API experience
  • Automation:
    Experience in building automation pipelines and workflows
  • Methodologies:
    Agile development and iterative model deployment
Required Experience & Qualifications
  • Minimum 8 years of experience in IT, with a strong focus on AI/ML and data science solutions.
  • Hands-on experience in implementing LLM and Gen AI models.
  • Strong problem-solving, analytical, and interpersonal skills.
  • Excellent verbal and written communication skills.
  • Ability to work effectively in team environments and across multiple stakeholders.
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