Senior Machine Learning Engineer

Job not on LinkedIn

🔥 13 hours ago

🇺🇸 United States – Remote

💵 $140k - $190k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

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Logo of CARE

CARE

5001 - 10000 employees

Founded 1945

🍽️ Food & Beverage

🏥 Healthcare

📦 Logistics

💰 Grant on 2021-11

Food & Beverage • Healthcare • Logistics

CARE is a boutique provider of high-quality, accredited carers for the Aged Care and Early Learning industries. It specializes in matching experienced professionals, recent graduates, and students with job vacancies in these sectors, facilitating rewarding career placements. CARE aims to support clients and carers by providing effective staffing solutions and contributing to their success in the industry.

📋 Description

• Build and deploy AI-driven products that accelerate clinical trials and improve patient outcomes • Develop advanced ML models and LLM-powered agents for patient recruitment, enrollment forecasting, and study feasibility • Expand AI knowledge base architecture • Build robust data pipelines and deploy models at scale using modern cloud tools and MLOps best practices • Use Python, Clojure, AWS services, dbt, Prefect, and CI/CD automation with monitoring • Collaborate with data scientists, product managers, designers, engineers, and domain experts • Integrate AI capabilities into Care Access products and clinical research workflows • Stay current with ML/AI developments and turn prototypes into production features

🎯 Requirements

• Minimum of 5+ years of hands-on experience building and deploying machine learning solutions in production at scale • Proven ability to implement end-to-end ML pipelines from data ingestion to model serving for real-world applications • Proficiency in Python and its ML ecosystem, including pandas, scikit-learn, and TensorFlow/PyTorch • Clean and efficient coding practices • Experience working with large datasets and writing complex SQL queries • Experience with modern data processing frameworks • Experience with modern cloud infrastructure such as AWS or similar • Experience with containerization tools such as Docker • Familiarity with MLOps best practices, CI/CD pipelines, automated testing, and monitoring model performance/data drift • Strong understanding of machine learning fundamentals, including model selection, training, evaluation, and feature engineering • Knowledge of statistical modeling • Familiarity with NLP and large language models • Ability to devise effective, efficient, accurate, performant, and maintainable ML solutions • Passion for speeding up clinical trials and improving patient outcomes • Care Access is unable to sponsor work visas at this time

🏖️ Benefits

• Paid Time Off (PTO) and Company Paid Holidays • 100% Employer paid medical, dental, and vision insurance plan options • Health Savings Account and Flexible Spending Accounts • Bi-weekly HSA employer contribution • Company paid Short-Term Disability and Long-Term Disability • 401(k) Retirement Plan, with Company Match

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