Senior AI Data Scientist

Join to apply for the Senior AI Data Scientist role at Robertson, Anschutz, Schneid, Crane & Partners, PLLC.

This role involves designing and building end-to-end large-scale AI/ML systems for forecasting, classification, regression, and predictive modeling. The ideal candidate will have deep expertise in scalable solutions, proficiency in AI/ML frameworks, Python, SQL, data processing, distributed computing, and MLOps.

Responsibilities include data ingestion, feature engineering, model development, deployment, monitoring, and applying cutting-edge machine learning techniques. Collaboration with cross-functional teams to develop impactful AI/ML solutions is essential.

• Develop and deploy scalable AI/ML pipelines for feature engineering, training, tuning, evaluation, and inference.
• Utilize advanced time series analysis and classification techniques to improve model accuracy and predictive performance.
• Build efficient AI/ML models for real-time inference and batch processing.
• Collaborate with teams to define system requirements and integrate models into workflows.
• Explore and incorporate new AI/ML techniques, including deep learning, transformers, LLMs, and statistical modeling.
• Design agent-based systems combining machine learning, generative AI, and workflow automation.
• Create intelligent agents for user interaction, system integration, and operational streamlining.
• Establish evaluation protocols to ensure agent behaviors align with business objectives.
• Maintain professional communication within the team and organization.
• Develop ETL pipelines compatible with Azure Data Lake and Azure services.
• Perform other duties as assigned.

• Master’s or Ph.D. in Computer Science, Data Science, Statistics, or related fields.
• 5+ years of experience in data science or machine learning with a proven portfolio of deployed solutions.
• Experience with predictive modeling, AI, NLP, and core quantitative techniques.
• Strong Python and SQL skills, with familiarity in PyTorch, PySpark, Tensor Flow.
• Experience with MLOps tools like MLflow, Azure Dev Ops, CI/CD for ML.
• Knowledge of database structures, data architecture, and governance.
• Familiarity with LLMs, generative AI, and deep learning.
• Hands-on experience with Azure Data Lake, Azure Machine Learning, and other Azure cloud services.

• Seniority level:
  Mid-Senior level
• Employment type:
  
  Full-time
• Job function:
  Engineering and Information Technology
• Industry: Legal Services

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Location:

Fort Lauderdale, FL, Salary: $150,000 - $180,000, posted 5 hours ago.