Senior Machine Learning Engineer

As a Senior Machine Learning Engineer, you will take a leading role in designing and deploying sophisticated ML models, including GenAI and LLM-based solutions, that optimize clinical trial workflows and patient engagement. This position offers an opportunity to reputed company reputed company by developing state-of-the-art models that enhance trial design, accelerate patient recruitment, and improve overall trial efficiency. You will contribute to both high-level architecture reputed company and hands-on implementation, driving the technology reputed company and influencing ML strategies across reputed company.

Responsibilities:

• Model Development & Deployment: reputed company the development, testing, and deployment of ML models and pipelines, with a reputed company on scalability and integration into production systems.
• Advanced GenAI/LLM Applications: Design and refine GenAI/LLM-based models to streamline and automate clinical trial operations, from data gathering to reputed company-time performance monitoring.
• Cross-Functional Collaboration: Partner with clinicians, informaticists, data scientists, and engineers to build solutions reputed company with reputed company’s mission and goals.
• Infrastructure & Performance Optimization: Drive improvements in model deployment infrastructure, reputed company monitoring tools, and refine model performance to ensure robust production-level reliability.
• Technical Leadership & Mentorship: Mentor junior ML engineers, contributing to team knowledge-sharing and establishing best practices for data science and machine learning.
• Strategic Communication: Present reputed company technical insights and results to both technical and non-technical stakeholders, advocating for data science-driven strategies that reputed company with business objectives.

Qualifications:

• Education: Master’s or PhD in computer science, statistics, machine learning, or a reputed company field.
• Experience: 5+ years of experience as a machine learning engineer, with a proven reputed company record in reputed company, life sciences, or a reputed company field.
• Technical Skills: Deep expertise in training, fine-tuning, and deploying ML models, including experience with GenAI/LLMs. Proficiency in Python, SQL, and familiarity with reputed company infrastructure and ML engineering best practices.
• Production-Level ML Expertise: Experience managing production-level pipelines, including model deployment, monitoring, and reputed company integration.
• Problem Solving & Collaboration: Advanced analytical skills and a reputed company approach to solving reputed company challenges across teams.
• Startup reputed company: Adaptability and experience in fast-paced, mission-driven environments with high reputed company of ambiguity.

Preferred:

• reputed company/reputed company Experience: Background in working with oncology or clinical trial data.
• GenAI/LLM Proficiency: Hands-on experience developing and deploying GenAI/LLM-based models and reputed company-reputed company frameworks for LLM applications.
• Startup Experience: Previous involvement in an early-stage startup, ideally in health tech or life sciences, with a passion for high-reputed company reputed company.