Rayomind Software Solutions LLC, DBA, Hire'in Solutions
Senior Data Scientist
Atlanta, Georgia, USA · Senior · Full-time
Sponsorship not specifiedDetected 123 days ago
PythonSQLVector DatabasesAWSCI/CDMachine LearningDeep LearningPyTorchscikit-learnPandasNumPySparkData ScienceLLMsRAGAgentic AIMLOpsAI OrchestrationStatisticsCommunicationCollaborationProblem Solving
About the role
- Job Title: Senior Data Scientist Location: Atlanta, GA Role: Fulltime Job Description; Core Data Science & Analytics Demonstrate strong expertise in data exploration, feature engineering, statistical modeling, and predictive analytics, with the ability to operationalize models in production environments. Have deep proficiency in Python (preferred) and/or R,
- with experience using modern data science libraries such as NumPy, Pandas, Scikit-learn, and PyTorch or TensorFlow. Be highly proficient in SQL and experienced in working with large-scale data warehouses and data pipelines. Machine Learning & AI Engineering Possess strong experience developing, evaluating, and deploying machine learning and deep learning
Nice to have
- Fulltime Job Description
- Core Data Science & Analytics Demonstrate strong expertise in data exploration, feature engineering, statistical modeling, and predictive analytics, with the ability to operationalize models in production environments.
- Have deep proficiency in Python (preferred) and/or R, with experience using modern data science libraries such as NumPy, Pandas, Scikit-learn, and PyTorch or TensorFlow.
- Be highly proficient in SQL and experienced in working with large-scale data warehouses and data pipelines.
- Familiarity with cloud-based ML platforms (AWS preferred) and distributed data processing frameworks (e.g., Spark).
- Generative AI & Agentic Systems Hands-on experience with Large Language Models (LLMs) and Generative AI frameworks, including prompt engineering, retrieval-augmented generation (RAG), and model orchestration.
- Familiarity with LLM application frameworks (e.g., LangChain, LlamaIndex, or similar orchestration frameworks).
- Experience with vector databases, embeddings, and semantic search for building knowledge-driven AI systems.
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