Aya Healthcare05.03.26
AI SCORE 8.5

AI/​Machine Learning Engineer - Remote Position at Aya Healthcare

$156K–$175K/year

About the Role

Join Aya Healthcare as an AI/Machine Learning Engineer in a fully remote position. This role is pivotal in analyzing product hypotheses and developing machine learning models that drive our innovative solutions in the healthcare industry. You will be part of a dynamic software engineering team focused on delivering exceptional data-driven insights to enhance our services.

What You'll Do

  • 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, ensuring compliance with terms of service.
  • Extract and create features from datasets for machine learning models, enhancing product performance and predictive capabilities.
  • Collaborate with cross-functional teams to translate data-driven insights into strategic business recommendations.
  • Apply advanced statistical analysis, linear algebra, and modeling techniques to large datasets, providing deep, actionable insights.
  • Perform large-scale data analysis using tools such as Python and SQL.
  • Utilize Azure Machine Learning for model training and deployment, leveraging cloud capabilities to enhance data analysis workflows.
  • Participate in the 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.
  • Experience in explainable AI (XAI) is preferred.

Nice to Have

  • Understanding of big data technologies like Apache Spark or Hadoop.
  • Strong problem-solving skills in business processes.

What We Offer

  • Free premium medical, dental, life, and vision insurance.
  • Generous 401(k) match.
  • Paid sick leave in accordance with applicable laws.
  • Company-sponsored virtual events and team-building activities.
  • Unlimited DTO — we believe in time off!
  • Virtual yoga, meditation, or boot camp classes offered daily.
Why This Job8.5 of 10

This AI/Machine Learning Engineer position at Aya Healthcare offers a competitive salary, remote work flexibility, and a commitment to employee satisfaction. Join a top workplace in the healthcare industry and make a significant impact.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

Proficiency in Python and SQL for data manipulation and statistical analysis, with hands-on experience in Azure MLOps for deploying and managing machine learning models.

Strong analytical mindset with a focus on hypothesis testing and validation, able to leverage statistical analysis techniques to derive actionable insights from complex datasets.

Self-motivated and disciplined remote work style, capable of managing time effectively and collaborating with a distributed team to meet project deadlines.

Learning Resources

Python for Data Science Handbookguide

Career Path

AI/Machine Learning Engineer - Remote Position(Now)Lead AI/Machine Learning Engineer(1-2 years)Director of AI/ML Strategy(3-5 years)

Market Overview

Market Size 2024
$14.7B
Annual Growth
21.5%
AI Adoption
65%
Investment
+45%
Labour Demand
+30%
Avg Salary
$130K

Skills & Requirements

Required
PythonSQLMachine Learning
Growing in Demand
Deep LearningNatural Language ProcessingData Engineering
Declining
R ProgrammingMATLAB

Domain Trends

Increased Demand for MLOps
With the rise of machine learning deployment, MLOps adoption has increased by 40% in organizations, emphasizing the need for seamless integration of ML models into production.
Shift to Cloud-Based AI Solutions
The market for cloud AI services is projected to grow by 35% in the next two years, driving demand for skills in platforms like Azure and AWS.
AI Ethics and Governance
As AI technologies advance, 58% of companies are prioritizing ethical considerations in AI, leading to a growing need for professionals skilled in responsible AI practices.

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