Senior Machine Learning Engineer

About the Role

We seek a highly skilled and motivated Machine Learning Engineer to join our dynamic team. In this role, you will design, develop, and deploy machine learning models, including LLM, that enhance our AI-powered clinical intelligence platform. You will work closely with researchers, engineers, and clinical experts to create innovative solutions that drive our mission forward.

You Will:

• Develop and implement scalable and reliable AI and machine learning models and algorithms.
• Enable the research and AI development to accelerate overall product development.
• Design and build Services, Tools, and Platforms to support the growth.
• Collaborate with Eng, AI, and clinical experts to understand the intricacies of healthcare data and refine model performance.
• Design and execute experiments to test the efficacy of new models and algorithms.
• Deploy and maintain machine learning and AI  models in a production environment, ensuring scalability and reliability.
• Continuously monitor and optimize the performance of deployed models.
• Stay updated with the latest advancements in machine learning and AI, and incorporate new techniques and tools as appropriate.
• Participate in code reviews and contribute to developing best practices for machine learning at Mendel.

You Have:

• Bachelor’s or Master’s in Computer Science, Machine Learning, Data Science, or a related field.
• Minimum of 5 years of experience in building AI/ML training and inference pipelines using MLFlow, Kubeflow in GCP, AWS and/or Azure.
• Proven experience in developing and deploying machine learning models.
• Proficiency in programming languages such as Python, R, or Java.
• Proven experience in ML, AI Algorithms, model tuning and optimization.
• Strong understanding of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-Learn).
• Experience with data preprocessing, feature engineering, and model evaluation techniques.
• Proficiency in cloud infrastructure is a plus.
• Familiarity with healthcare data and clinical expertise is a plus.
• Excellent problem-solving skills and attention to detail.
• Ability to work collaboratively in a fast-paced, multidisciplinary environment.
• Strong communication and interpersonal skills, with the ability to convey complex technical concepts to non-technical stakeholders.

Compensation
$170,000 - $230,000.00
Message to applicants applying to work in the U.S.:
When available, the salary range posted for this position reflects the projected hiring range for new hire salaries in U.S. locations. For non-sales roles, the hiring ranges reflect base salary and do not include bonuses, equity, or benefits. Hiring ranges for sales positions include base and incentive target, and do not include equity or benefits. Individual pay is determined by the candidate's hiring location and additional factors, including but not limited to skillset, experience, and relevant education, certifications or training. Applicants may not be eligible for the full salary range based on their U.S. hiring location. The recruiter can share more details about compensation for the role in your location during the hiring process.