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.

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