Machine Learning Engineer
2 weeks ago
We are seeking a highly skilled Machine Learning Engineer to join our team. As a key member of our data science group, you will be responsible for designing and developing robust machine learning solutions that integrate with Large Language Models (LLMs).
Key Responsibilities:
- Leverage strong mathematical and statistical foundations to inform model development and evaluation in complex data environments.
- Design and architect end-to-end machine learning solutions that leverage LLMs where applicable.
- Collaborate effectively within Agile Scrum teams to contribute to iterative development and continuous improvement.
- Document business processes and workflows clearly and comprehensively.
- Engage in close collaboration with various domains within the organization to ensure alignment and understanding of business needs.
- Participate in conceptualization sessions to brainstorm and refine project ideas.
Mandatory Skills:
- 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.
Preferred Skills:
- 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.
Additional Responsibilities:
- Stay updated with the latest advancements in machine learning and natural language processing, 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.
Why Join Us:
We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
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