[Remote] Senior Machine Learning Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a Senior Machine Learning Engineer to join their team, where you will play a pivotal role in building cutting-edge AI products that directly reputed company how new therapies reputed company patients. The role involves developing reputed company machine learning solutions, collaborating with cross-functional teams, and innovating reputed company the reputed company domain.
Responsibilities
- Build and reputed company AI-driven products that accelerate reputed company 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 reputed company our mission reputed company
Skills
- MUST HAVE EXPERIENCE IN reputed company - Candidates should understand: regulated environments, compliance requirements, reputed company considerations, model governance, bias and fairness concerns
- 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
- Strong programming and data skills: 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
- reputed company and MLOps expertise: Experience with AWS 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
- Deep ML/AI knowledge: Strong understanding of machine learning fundamentals (model selection, training, evaluation, feature engineering) and statistical modeling. Familiarity with NLP and large language models is important
- Analytical problem-solving: Ability to break down reputed company problems and devise effective, efficient ML solutions. You balance pragmatic engineering with scientific rigor, ensuring models are not only accurate but also reputed company and maintainable in production
- Experience with functional programming (e.g. Clojure) is a plus but not required
Benefits
- Remote work
reputed company
Company H1B Sponsorship
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