Machine Learning Specialist

Hace 18 horas
San Juan, Puerto Rico ethree solutions Jornada completa
ethree solutions is a management consulting firm focused on helping organizations achieve their strategic objectives through process and business technology optimization. The company partners with clients to analyze current operations, identify improvement opportunities, and implement data-driven solutions. By combining consulting expertise with technology-driven approaches, ethree solutions supports sustainable performance and growth. Team members collaborate closely with client stakeholders, offering practical guidance and modern tools to streamline processes and enhance decision-making. Role Description: The Machine Learning Specialist is a full-time, on-site role based in San Juan. This is a role designed for high-potential individuals to bridge the gap between theoretical machine learning and practical Generative AI applications. You will act as a technical associate focusing on the end-to-end lifecycle of AI solutions, including LLM-based applications/agents, ensuring they are effectively developed, integrated, and tested to drive value.

Key Responsibilities
• Solution Design: support the architectural design of AI/ML and GenAI solutions (e.g., RAG systems), ensuring they meet business needs and technical constraints.
• Data Pipeline Support: assist in building robust data preparation pipelines, including cleaning, normalization, and feature engineering to ensure high-quality model input, including text chunking and embedding generation for vector databases.
• Model Experimentation: conduct supervised/unsupervised experiments and prompt engineering trials, tracking metrics like accuracy and LLM faithfulness.
• Cross-Functional Collaboration: work with developers to integrate models and LLM APIs (e.g., OpenAI, Vertex AI) into microservices.
• Technical Documentation: document model architectures, prompt templates, and solution deployment guides.
• Systems Monitoring: participate in the ongoing validation and performance monitoring of deployed AI systems to detect "drift" or degradation in performance over time, also participate in performance monitoring to detect "drift" or "hallucinations" in deployed AI systems. Qualifications &

Requirements:
• Bachelor’s degree in Computer Science, Engineering, Data Science, or a similar quantitative field.
• 3-5 years of experience in the field required.
• Open to career changers: we value diverse backgrounds; if you have a strong analytical foundation and a portfolio of projects, we want to see it.
• Foundational Knowledge: a plus will be considered in case of solid grasp of ML concepts (regression, neural networks) and foundational understanding of Transformers and LLMs.
• Cloud knowledge is a plus, specially in Azure, AWS or Google Cloud.
• Soft

Skills:
a strong analytical mindset with a proactive "growth mindset" and excellent teamwork capabilities.

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