AI ML Data Scientist at c2c hiring Atlanta, GA

Title: AI ML Data Scientist

Location: Atlanta, GA (Hybrid)

Nede 12+ years of consultants

Key Responsibilities:

Perform data exploration and visualization to understand patterns, anomalies, and insights
Build and evaluate machine learning models across different problem types (classification, regression, NLP, etc.)
Interpret model behavior using techniques like SHAP, feature importance, or model inspection
Work with LLM APIs (Azure OpenAI, AWS Bedrock) to build and integrate generative AI capabilities
Deploy models for inference using tools like Azure ML, AWS SageMaker, or containerized APIs
Collaborate with stakeholders to understand requirements and translate them into technical solutions
Maintain experiment tracking and model versioning using MLflow, Azure ML Experiments, or similar
Write clean, maintainable code with clear documentation for reproducibility
 

Required Skills:

Strong programming skills in Python, with experience in pandas, scikit-learn, matplotlib/seaborn, numpy
Experience with machine learning frameworks (scikit-learn, XGBoost, LightGBM, TensorFlow or PyTorch)
Proficiency in using Azure ML Studio or AWS SageMaker for training and deployment
Solid understanding of ML lifecycle: data prep, modeling, evaluation, deployment, monitoring
Experience with Large Language Models via Azure OpenAI or AWS Bedrock
Familiarity with model interpretation tools (SHAP, LIME, etc.)
Experience deploying ML models for real-time inference or batch processing
Git for version control and basic understanding of DevOps principles for ML (MLOps)
 

Nice-to-Have:

Experience with MLflow, Weights & Biases, or similar experiment tracking tools
Working knowledge of SQL and cloud-based data warehouses (e.g., Snowflake, BigQuery, Synapse)
Exposure to prompt engineering or fine-tuning of LLMs
Familiarity with Docker and REST APIs
Experience with dashboarding tools like Power BI or Streamlit for presenting results