Principal Data Scientist - AI

The Ladders
United States
22 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Compensation
$130,000.0 - $180,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Continuous Integration Python (Programming Language) Machine Learning Software Organization Enterprise Software Applications Chatbots Large Language Models Generative AI Machine Learning Operations

Job description

  • Lead research and development of advanced ML and DL models for complex business challenges
  • Drive innovation in Timeseries Forecasting and enhance predictive planning capabilities
  • Architect and implement Generative AI solutions utilizing LLMs and Transformer architectures
  • Design and integrate Conversational AI interfaces for autonomous user experiences
  • Collaborate with cross-functional teams to transition AI models to production systems
  • Mentor data scientists and engineers to maintain technical excellence and best practices

Requirements

  • 10+ years of hands-on experience in AI or ML fields
  • Experienced in end-to-end model lifecycle development, including training and deployment
  • Deep understanding of LLM APIs and conversational AI
  • Expertise in fine-tuning LLMs for enterprise applications
  • Proficient in Python and modern software development practices, including CI/CD
  • Solid background in traditional ML and DL techniques, particularly Timeseries Forecasting
  • Extensive MLOps experience for scalable model deployments, * Opportunity to lead a greenfield team in AI innovation
  • Work on cutting-edge conversational and agentic AI technologies
  • Impactful role developing user-facing AI features for business planning
  • Latest GenAI models and techniques experimentation
  • Collaboration with skilled engineers, data scientists, and product designers

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

1:00 min

Introduction to chatbot infrastructure and cloud challenges

Stan Girard Stan Girard · World Congress 2024

2:37 min

Tracing the evolution from early AI to generative AI

Mike Mike · World Congress 2025

2:36 min

Applying supervised machine learning for practical rule extraction

Katja Träumner

2:08 min

Essential engineering roles in the generative AI space

Mary Grygleski Mary Grygleski · LIVE

4:30 min

Demonstrating a knowledge graph powered chatbot interface

Tomaz Bratanic · World Congress 2023

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