Essential Job Functions:
- Leverage LLMs, FMs, and other AI technologies to analyze extensive datasets, develop predictive models, and uncover key insights.
- Work alongside Machine Learning Engineers, business analysts, and stakeholders, ensuring data science aligns with and accelerates our business objectives.
- Employ an experimentation mindset with A/B testing to validate model predictions, optimize performance, and confirm AI application reliability.
- Oversee data collection, preprocessing, and management, maintaining data integrity for model training.
- Keep abreast of AI, ML, and GenAI advancements to continually refine our applications and maintain our competitive edge.
- Provide strategic, data-driven insights and recommendations to inform high-level business strategies.
- Foster a culture of learning and innovation, sharing best practices in data science and AI with the team.
Qualifications:
- Bachelor's or master's degree in computer science, Data Science, Statistics, or related field.
- Over 5 years of experience in data science, demonstrating the application of ML and AI technologies in business contexts.
- Deep expertise in statistical analysis, predictive modeling, and ML algorithms, especially with LLMs and FMs.
- Proficiency in Python or R and ML frameworks like TensorFlow or PyTorch.
- Extensive experience in data manipulation, analysis, and visualization with large datasets.
- Knowledge of cloud computing platforms, ideally AWS, and familiarity with data processing and ML services.
- Experience with MLOps practices, covering the entire lifecycle from model development to deployment and monitoring.
- Exceptional problem-solving capabilities, an innovative mindset, and the ability to excel in a fast-paced environment.
- Excellent communication skills, capable of translating complex data insights into clear, actionable business directives.
Mandatory Skills:
- Python - 5+ Years (Mandatory)
- Data Science - 5+ Years
- LLM, Document/Data Processing or Extraction
- Cloud: AWS
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