Aya HealthcareRemote
AI/Machine Learning Engineer (Software Engineering Team)
United States
Full-time
15 hours ago
$156,000 - $175,000 USD
H1B Sponsor Likely
Key skills
PythonSQLAIMachine LearningMLscikit-learnPandasNumPyMLOpsMLflowKubeflowAnalyticsSparkApache SparkHadoopStatistical AnalysisAWSAzureGCPAgileScrumCommunication
About this role
Aya Healthcare is a rapidly growing workforce solutions provider in the healthcare industry, seeking an AI/Machine Learning Engineer to join their software and product team. This role focuses on analyzing product hypotheses, validating insights through data, and developing features for machine learning models to support business decisions.
Responsibilities:
- Analyze and validate product team hypotheses by interpreting large-scale datasets, identifying trends, and generating actionable insights
- Conduct external data analysis by integrating and assessing new data sources, replacing legacy sources, and ensuring compliance with terms of service
- Extract and create features from datasets for machine learning models, driving predictive capabilities and enhancing product performance
- Collaborate with cross-functional teams to translate data-driven insights into business recommendations that guide product decisions and strategy
- Apply advanced statistical analysis, linear algebra, and modeling techniques to large datasets, providing deep, actionable insights
- Perform large-scale data analysis comfortably using tools such as Python and SQL
- Work with Azure Machine Learning for model training and deployment, leveraging cloud capabilities to enhance data analysis workflows
- Participate in Scrum agile development process, focusing on iterative improvements through data-informed decision-making
Requirements:
- 4+ years of experience in data analytics and machine learning
- Strong data science background with expertise in statistical analysis, linear algebra, and machine learning models
- Proven experience in external data analysis, working with new data sources, and handling large-scale datasets
- Proficiency in Python for data analysis, including libraries such as Pandas, NumPy, and Scikit-learn
- Strong skills in SQL for data retrieval and manipulation
- Excellent communication skills to present complex insights to non-technical stakeholders
- Experience with MLOps frameworks (e.g., MLflow, Kubeflow) and cloud platforms like Azure ML (preferred), AWS, or GCP
- Strong problem-solving skills in business processes
- Experience in explainable AI (XAI) is preferred
- Understanding of big data technologies like Apache Spark or Hadoop is preferred