Machine Learning Engineer (Data)

Company Description

OTLEN is an AI-powered RevOps & RCM infrastructure platform for MedTech, HealthTech, BioTech ,and BioPharma industries. We unify clinical, operational, and financial data to reduce patient no‑shows , increase provider utilization, and unlock data-driven growth for enterprises. You’ll join a product-led team shipping models into production, not into slide decks.

Role Description

This is a full-time, remote role for a Machine Learning Engineer (Data). The Generative AI Engineer will be responsible for designing, building, testing, and deploying AI models and solutions focused on generative technologies.

Key responsibilities include conducting applied research, optimizing AI architectures , creating scalable implementations, and working cross-functionally with teams to integrate AI solutions into existing systems. The role also involves maintaining up-to-date knowledge of advancements in machine learning and AI to drive innovation for the company.

Qualifications

• Expertise in Machine Learning, Deep Learning, and Natural Language Processing (NLP).
• Proficiency in programming with Python, TensorFlow, PyTorch, and libraries such as Hugging Face Transformers.
• Strong understanding of generative AI techniques, including GANs, Transformers, and diffusion models.
• Experience in data engineering and processing, including cleaning, preprocessing, and managing large-scale datasets.
• Skills in algorithm development, model optimization, and deploying scalable AI systems.
• Proven ability to perform applied research and stay current with the latest advancements and academic research in AI and machine learning.
• Excellent problem-solving, critical thinking, and communication skills.
• Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or related field; advanced degrees are a plus.