[Hiring] AI/Machine Learning Engineer @Aya Healthcare

Role Description

We are seeking an analytical, data and business-focused professional to join our software and product team. This role is centered on analyzing product hypotheses, validating insights through data, and developing features for machine learning models. As our applications evolve, you will play a key role in ensuring seamless data analysis and interpretation to support business decisions.

This is an advanced role with emphasis on handling complex datasets and implementing machine learning models.

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.

Qualifications

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

Benefits

• Free premium medical, dental, life and vision insurance.
• Generous 401(k) match.
• Aya also offers other benefits to those that are eligible and where required by applicable law, including reimbursements and discretionary bonuses.
• Aya provides paid sick leave in accordance with all applicable state, federal, and local laws. Aya’s general sick leave policy is that employees accrue one hour of paid sick leave for every 30 hours worked. However, to the extent any provisions of the statement above conflict with any applicable paid sick leave laws, the applicable paid sick leave laws are controlling.
• Celebrations! We hit our goals and reward ourselves.
• Company-sponsored virtual events, happy hours and team-building activities are always on the horizon — plus, you get a special treat on your birthday!
• Unlimited DTO — we believe in time off!
• Virtual yoga, meditation or boot camp classes offered daily.

Compensation

Aya reasonably anticipates the pay scale for this position to be an annual salary of $156,000 to $175,000. The pay scale for this position may vary if applicant possesses experience outside of what Aya reasonably anticipates for this position. Bonuses are subject to the role and your manager’s discretion.