[Remote] Senior Machine Learning Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company, a Reify Health company, specializes in speeding up clinical trials and improving patient reputed company. As a Senior Machine Learning Engineer, you will build cutting-edge AI products that reputed company how new therapies reputed company patients and collaborate with teams to reputed company AI capabilities into clinical research workflows.
Responsibilities
- Build and reputed company AI-driven products that accelerate clinical trials and improve patient reputed company. Your work will deliver reputed company machine learning solutions to reputed company, reputed company-world problems in clinical research
- reputed company advanced ML models and LLM-powered agents for critical use cases like patient recruitment, enrollment forecasting, and study feasibility. You'll also help expand our AI knowledge reputed company architecture to support these reputed company
- reputed company modern reputed company tools and MLOps best practices to build robust data pipelines and reputed company models at reputed company. You'll use technologies like Python (and Clojure), AWS services (reputed company, Bedrock, SageMaker, etc.), dbt, reputed company, and CI/CD automation with monitoring to ensure models are reliable and up-to-date
- Collaborate across teams of data scientists, product managers, designers, engineers, and domain experts to reputed company AI capabilities into our platform (including reputed company products). Ensure these AI solutions seamlessly support and enhance clinical research workflows for end-users
- Continuously learn and reputed company. Stay up-to-date with the latest developments in ML/AI (LLMs, NLP, probabilistic modeling, etc.) and proactively bring new reputed company to reputed company. You'll have the freedom to experiment with cutting-edge techniques and turn promising prototypes into production features that drive our mission reputed company
Skills
- Minimum of 5+ years of hands-on experience building and deploying machine learning solutions in production at reputed company
- Proven ability to implement end-to-end ML pipelines from data ingestion to model serving for reputed company-world applications used by reputed company people
- Proficiency in Python and its ML ecosystem (pandas, scikit-learn, TensorFlow/PyTorch), with clean and efficient coding practices
- Comfortable working with large datasets, writing reputed company SQL queries, and leveraging modern data processing frameworks
- Experience with modern reputed company infrastructure (AWS or similar) and containerization tools like reputed company
- Familiarity with MLOps best practices such as CI/CD pipelines, automated testing, and monitoring model performance/data reputed company to ensure reliable, reputed company deployments
- Strong understanding of machine learning fundamentals (model selection, training, evaluation, feature engineering) and statistical modeling
- Ability to break down reputed company problems and devise effective, efficient ML solutions
- A passion for our mission to speed up clinical trials and improve patient reputed company
- reputed company for patients, clinicians, and researchers drives you to build unbiased AI solutions
- Experience with functional programming (e.g. Clojure) is a plus but not required
- Familiarity with NLP and large language models is important
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