Data Scientist

FLEXDAY AI INC.
Atlanta, GA, United States
2 months ago
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Role details

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

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure Big Data Cloud Computing Continuous Integration Data Mining Python (Programming Language) Machine Learning Natural Language Processing Recommender Systems Tensorflow
+14 more
SQL Databases Unstructured Data Data Processing Pytorch Large Language Models Deep Learning Generative AI Scikit Learn Information Technology HuggingFace Machine Learning Operations Virtual Agents Data Pipelines Docker

Job description

  • Partner with client stakeholders, product owners, and engineering teams to understand business problems and convert them into AI/ML solutions
  • Design, build, and optimize Machine Learning and Deep Learning models for enterprise-scale applications
  • Work on advanced AI use cases involving NLP, Predictive Analytics, Recommendation Systems, Time Series Forecasting, and Generative AI
  • Analyze structured and unstructured datasets to generate actionable business insights
  • Develop scalable data pipelines, model training workflows, and experimentation frameworks
  • Build and evaluate AI models using modern ML frameworks and cloud platforms
  • Take end-to-end ownership of projects from research, prototyping, and validation to deployment and monitoring
  • Stay updated with the latest advancements in AI, LLMs, Agentic AI, and Data Science research
  • Collaborate closely with AI/ML Engineers, Cloud teams, and product teams to deliver high-impact enterprise solutions
  • Contribute to research initiatives, whitepapers, patents, or publications where applicable

Requirements

Do you have experience in White papers?, * Strong programming expertise in Python

  • Hands-on experience with TensorFlow, PyTorch, Scikit-learn, Hugging Face, or similar frameworks
  • Strong understanding of Machine Learning, Deep Learning, NLP, Statistical Modeling, and Data Mining
  • Experience working with Large Language Models (LLMs), RAG pipelines, or Generative AI frameworks is a plus
  • Experience with SQL, data processing, and large-scale datasets
  • Familiarity with cloud platforms such as AWS, Azure, or GCP
  • Knowledge of MLOps, model deployment, Docker, and CI/CD pipelines is preferred
  • Strong analytical thinking, experimentation mindset, and problem-solving capabilities, * PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Statistics, Mathematics, or related quantitative fields is strongly preferred
  • Candidates with strong research backgrounds, publications, or thesis work in AI/ML domains will be highly valued
  • 2+ years of relevant experience in Data Science, Machine Learning, or Applied AI

Benefits & conditions

Pulled from the full job description

  • Referral program
  • Parental leave
  • Health insurance

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