
Unlocking Business Innovation Through Machine Learning Expertise
4 days ago
We're seeking a highly skilled Data Scientist to join our team and leverage their expertise in machine learning to drive business innovation.
You will work with complex data environments, developing robust models that deliver value and efficiency.
With a strong mathematical and statistical background, you'll inform model development and evaluation, staying up-to-date with the latest advancements in ML and NLP.
As part of our Agile Scrum teams, you'll collaborate effectively, contributing to iterative development and continuous improvement.
Key Responsibilities:
- Design and develop machine learning solutions that integrate Large Language Models (LLMs) where applicable.
- Collaborate with various domains to ensure alignment and understanding of business needs.
- Document business processes, workflows, and requirements clearly and comprehensively.
- Proficiency in Python, Machine Learning, REST API, and SQL.
- Experience with data processing, cleansing, and verification to ensure data integrity for analysis.
- Conduct data quality checks and exploratory analyses to inform model development.
- Demonstrated programming skills in relevant languages, particularly Python and API development.
- Build end-to-end machine learning models, including data structures and transformation processes.
- Strong understanding of statistical modeling techniques (e.g., Regression, Clustering, Decision Trees, Logistic Regression).
- Familiarity with machine learning algorithms (e.g., KNN, Random Forests, Ensemble Methods, Bayesian/Markov Networks).
- Knowledge of data mining concepts and experience with data visualization tools and dashboards.
- Experience with Large Language Models (LLMs) such as GPT, BERT, or similar architectures.
- Understanding of natural language processing (NLP) techniques and their applications in business contexts.
- Familiarity with advanced research topics, including deep learning, kernel methods, spectral methods, and forecasting.
- Ability to integrate end-to-end ML solutions into product suites and business functions, with a focus on LLM applications.
- Design technical frameworks based on various use cases, particularly those involving text data and language understanding.
- Identify opportunities to automate analytical processes, data extraction, and flow processes, especially in the context of LLMs.
- Propose hypotheses and design experiments to address specific problems, leveraging LLM capabilities where relevant.
- Stay updated with the latest advancements in machine learning and NLP, particularly in the context of LLMs.
- Mentor junior team members on best practices in machine learning and LLM implementation.
- Contribute to the development of best practices and standards for machine learning and LLM projects within the organization.
At our company, we strive to create a diverse and inclusive environment. We welcome applicants from all backgrounds and are committed to equal opportunity employment.
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