Data Scientist
FLEXDAY AI INC.
Atlanta, United States of America
12 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
IntermediateJob location
Atlanta, United States of America
Tech stack
Artificial Intelligence
Amazon Web Services (AWS)
Azure
Big Data
Cloud Computing
Continuous Integration
Data Mining
Python
Machine Learning
Natural Language Processing
Recommender Systems
TensorFlow
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