Senior Machine Learning Engineer

Jobot; Ciudad de México; Híbrido; MXN 1.147.396 - 1.765.225; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive Base Salary

Best in class healthcare benefits

Career Growth opportunities

Descripción de la vacante

A leading HealthTech organization is seeking an experienced ML Engineer to develop and deploy machine learning solutions. This hybrid remote position offers a competitive salary range of $65,000 - $100,000, along with generous benefits. The ideal candidate will possess a strong background in machine learning, proficiency in Python, and at least 5 years of relevant experience. Join a talented team and contribute to innovative healthcare technologies that improve patient care.

Formación

• Minimum of 5 years of experience in a machine learning engineering role.
• Solid understanding of machine learning algorithms and principles.
• Must be proficient in English.

Responsabilidades

• Collaborate with Engineering, Product, and Design on ML features.
• Develop and deploy ML pipelines from data exploration to model deployment.
• Utilize AWS for cloud-based model deployment.

Conocimientos

Machine learning algorithms

Python

SQL

AWS

Kubernetes

Data transformation with DBT

Educación

Bachelor's degree in Computer Science, Statistics, or related field

Herramientas

NumPy

Pandas

Scikit-learn

Snowflake

Descripción del empleo

Job Details

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(Hybrid Remote) Exciting ML Engineer Opportunity with Thriving HealthTech Organization!

This Jobot Job is hosted by David DeCristofaro.

Salary $65,000 - $100,000 per year.

About Us

We are an industry leader in the HealthTech space, but much more than that. We have built a customizable platform for health and wellness professionals to allow them to provide the best care and treatment for their passions from start to finish. To keep it simple, our platform helps clinicians run and grow the practices with ease of service so they can concentrate on the most important thing... patients!

Why Join Us?

• Competitive Base Salary!
• Ownership of feature development across the platform!
• Best in class healthcare, dental, vision, benefits across the board!
• Accelerated Career Growth!
• Extremely talented engineering leadership team to partner with on your path to further your career!
• Tackle challenging engineering tasks with state of the art new technology!

Responsibilities

• Collaborate with Engineering, Product, and Design to ensure ML features are optimized.
• Develop and deploy ML Pipelines through building end-to-end solutions, from data exploration to model deployment.
• Utilize AWS for cloud‑based model deployment and Kubernetes for orchestrating and automating tasks.
• Lead advanced analysis to uncover insights and drive product decisions.

Qualifications

• Bachelor's degree in Computer Science, Statistics, Data Science, or a related field. Advanced degree is a plus.
• Minimum of 5 years of experience in a machine learning engineering role.
• Solid understanding of machine learning algorithms and principles, and experience in applying them to real‑world problems.
• Proficiency in Python and Python libraries such as NumPy, Pandas, and Scikit‑learn.
• Familiarity with Snowflake or similar data warehouses.
• Expertise with DBT for data transformation.
• Experience with AWS, particularly in relation to machine learning model deployment.
• Familiarity with Kubernetes, Outerbounds, or Argo Flows is a plus.
• Expertise with SQL.
• Must be proficient in English.

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Equal Opportunity Employment

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