AI/ML Engineer

Role Overview

Contributes significantly to the integration of AI / ML models into products and services. Supports team efforts to ensure the quality of underlying ML models, including data processing, cleaning, and model retraining. Supports internal teams through development of complex solution packages and associated release and adoption strategies. Strives to understand product-related feedback, issues and user expectations. Gains understanding and experience to take broader ownership for ML service delivery. Participates in design discussions regarding features and methods to improve existing products and/or the implementation of new products.

Responsibilities

• Contribute to the integration of AI/ML models into products and services.
• Support data processing, cleaning, and model retraining.
• Develop complex solution packages and associated release and adoption strategies.
• Participate in design discussions for product improvement and new implementations.

Requirements

• Minimum of 3 years of experience in machine learning and/or data engineering projects.
• Proven experience in implementing LLM-based solutions in production environments.
• Proficiency in Python and data wrangling libraries like Pandas.
• Good understanding of standard ML algorithms.
• Sound understanding of software design principles.
• Strong knowledge of algorithms and data structures.
• Excellent communication skills in English.

Skills

• Python
• LLM
• Machine Learning
• Pandas
• Data Engineering