Senior Machine Learning Engineer

Jobot; Xico; Híbrido; MXN 1,165,000 - 1,794,000; Jornada completa

Descripción de la vacante

A HealthTech Organization is seeking a Senior Machine Learning Engineer to lead the development and deployment of ML solutions in a hybrid remote role. The ideal candidate will have extensive experience in machine learning engineering and will work closely with cross-functional teams to optimize features and drive insights. This position offers a competitive salary range of $65,000 to $100,000 per year along with best-in-class healthcare benefits. Proficiency in Python, AWS, and SQL is essential for success.

Servicios

Competitive Base Salary

Ownership of feature development

Best-in-class healthcare benefits

Accelerated Career Growth

Formación

• Minimum of 5 years of experience in a machine learning engineering role.
• Solid understanding of machine learning algorithms and principles.
• Experience applying ML to real-world problems.

Responsabilidades

• Develop and deploy ML pipelines from data exploration to model deployment.
• Collaborate with teams to ensure ML features are optimized.
• Lead advanced analysis to uncover insights for product decisions.

Conocimientos

Machine learning algorithms

Python

SQL

AWS

Kubernetes

Data transformation

English proficiency

Educación

Bachelor’s degree in Computer Science, Statistics, Data Science, or related field

Herramientas

NumPy

Pandas

Scikit-learn

Snowflake

DBT

Descripción del empleo

Senior Machine Learning Engineer

Location: Hybrid Remote (HealthTech Organization).

Base Salary Range: $65,000 / yr – $100,000 / yr.

Why Join Us?

• Competitive Base Salary.
• Ownership of feature development across the platform.
• Best-in-class healthcare, dental, vision benefits.
• Accelerated Career Growth.
• Extremely talented engineering leadership team.
• 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 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 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.

Interested in hearing more?

Easy Apply now by clicking the “Easy Apply” button.

Equal Opportunity Employer

Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.

Jobot also prohibits harassment of applicants or employees based on any of these protected categories.