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Machine Learning Engineer
1 month ago
Job Title: Machine Learning Engineer
Objectives:
- Design and develop machine learning algorithms and deep learning applications for recommendation systems.
- Ensure algorithms generate accurate product recommendations.
- Build prototypes and apply appropriate machine learning algorithms and tools.
- Construct optimized data pipelines to feed machine learning models.
- Design and develop machine learning tests and experiments, and document findings and results.
- Train, fine-tune, and monitor machine learning systems and models.
- Apply methods and technologies related to Large Language Models (LLMs), from model fine-tuning to prompt engineering.
Skills and Qualifications:
- Bachelor’s degree (or equivalent) in computer science, mathematics, or a related field.
- Proven experience as a machine learning engineer or in a similar role.
- Impeccable analytical and problem-solving skills.
- Strong background in math and computer science, with a deep understanding of probability, statistics, and algorithms.
- Proficiency in machine learning frameworks, such as PyTorch.
- Familiarity with data structures, data modeling, and software architecture.
- Excellent time management and organizational skills.
- Strong communication and collaboration abilities.
- 5+ years of experience in the field.
- Experience in Financial Services, particularly within a startup environment, is highly preferred.
Additional Requirements:
- Demonstrated ability to work in a fast-paced, startup environment with a focus on innovation and adaptability.
- Experience in building scalable machine learning solutions that address specific financial industry challenges, such as risk assessment, fraud detection, or customer segmentation.
- A strong understanding of financial products and services, along with the ability to translate complex financial concepts into machine learning models.