Senior ML / AI Engineer

Jobot; Ciudad Madero; Presencial; MXN 1,203,000 - 1,853,000; Jornada completa

Descripción de la vacante

A leading HealthTech organization is seeking an experienced Senior Machine Learning Engineer to join its team. This hybrid remote role offers a competitive salary ranging from $65,000 to $100,000 annually. The ideal candidate will have substantial experience in machine learning, strong proficiency in Python, and familiarity with AWS and Kubernetes. Join a talented team and tackle challenging engineering tasks with state-of-the-art technologies.

Servicios

Competitive Base Salary

Ownership of feature development

Best in class healthcare, dental, vision benefits

Accelerated Career Growth

Talented engineering leadership team

Formación

• 5+ years of experience in Machine Learning, with proven track record.
• Experience with AWS (or other cloud platforms) for model deployment.
• Comfortable designing and evaluating LLM-driven workflows.

Responsabilidades

• Collaborate with Engineering, Product, and Design to ensure ML features are optimized.
• Develop and deploy ML Pipelines through building end to end solutions.
• Lead advanced analysis to uncover insights and drive product decisions.

Conocimientos

Python

Advanced data analysis

Data engineering

AWS

Problem-oriented mindset

Communication and collaboration

Educación

BS or above in Computer Science, Statistics or a related technical field

Herramientas

Kubernetes

GitHub

Slack

Notion

Zoom

Descripción del empleo

Overview

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

This Jobot Job is hosted by David DeCristofaro. Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.

Job Details

We are seeking an experienced and passionate Senior Machine Learning Engineer to join our team. This is an exciting opportunity to work with a team of talented engineers and data scientists, leveraging cutting-edge technologies to design, develop, and deploy advanced machine learning models.

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

Location: Hybrid Remote

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

• BS or above in Computer Science, Statistics or a related technical field
• 5+ years of experience in Machine Learning, with proven track record of bringing ideas to life, from prototype to productized features
• Strong proficiency in Python and hands-on with advanced data analysis tools
• Strong skills in data engineering and self-sufficient in data pipelines for the AI workflow
• Experience with AWS (or other cloud platforms) for model deployment
• Comfortable designing and evaluating LLM-driven workflows
• Familiarity with retrieval pipelines and vector databases
• Problem-oriented mindset with strong cross-disciplinary thinking and a bias toward simplicity and clarity in solving problems
• Comfort working with remote teams, using GitHub, Slack, Notion, and Zoom
• Proficiency in English with strong communication and collaboration skills

Bonus Points

• Experience with RAG architecture and context/state management for LLMs
• Familiarity with LLM eval tools and human-in-the-loop evaluation process
• Experience with Outerbounds or similar ML orchestration platforms
• Experience with Argo Flows for CI/CD
• Experience with prompt management tools like Langfuse
• Familiarity with Kubernetes for container orchestration
• Background in healthcare, clinical workflows, or regulated domains

Equal Opportunity

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. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.

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