Senior Machine Learning Engineer - REMOTE

Medium; A distancia; MXN 1,438,000 - 2,159,000; Jornada completa

Descripción de la vacante

A cutting-edge tech company is seeking a Senior Machine Learning Engineer to design and deploy machine learning models for innovative AI products. This fully remote role requires extensive experience in ML, proficiency in programming languages like Python, and familiarity with frameworks such as TensorFlow and GCP. You'll work collaboratively with teams to enhance personalized customer experiences, conduct A/B testing, and ensure model performance. The company offers unlimited PTO, competitive rewards, and flexible working hours.

Servicios

Unlimited PTO policy

Flexible remote working options

Competitive rewards aligned with the market range

Results-driven flexible working hours

International teamwork opportunities

Limitless career growth potential

Formación

• 5+ years of experience in machine learning or data science with a proven track record.
• Experience with machine learning frameworks.
• Familiarity with cloud platforms and NoSQL databases.

Responsabilidades

• Design, implement, and optimize machine learning models for AI features.
• Develop frameworks for evaluating the accuracy of large language models.
• Conduct A/B testing to optimize ML algorithms.

Conocimientos

Machine Learning

Programming (Python, Java, or C++)

Data Analysis

Software Engineering Principles

Problem-Solving Skills

Educación

Bachelor’s, Master’s, or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or related field

Herramientas

TensorFlow

PyTorch

GCP

MongoDB

Descripción del empleo

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Machine Learning Engineer - REMOTE. In this pivotal role, you will design, develop, and deploy machine learning models and systems that support our cutting‑edge AI‑driven products. Collaborating closely with cross‑functional teams, your expertise will be foundational in building scalable ML solutions and ensuring that our offerings meet the highest performance standards. You will evaluate large language models, create APIs to expose ML models, and lead A/B testing experiments to optimize model efficacy. This role is essential for driving innovation and enhancing our capacity to deliver personalized customer experiences across various channels.

Accountabilities

• Design, implement, and optimize machine learning models for AI chatbots and recommendation systems.
• Define and implement architectures for generative AI systems using frameworks like Langchain and Langsmith.
• Develop frameworks for evaluating the accuracy and ethical compliance of large language models (LLMs).
• Build robust APIs to integrate machine learning models with other systems and services.
• Conduct A/B testing experiments to assess the effectiveness of ML algorithms.
• Architect scalable ML systems and pipelines using Google Cloud Platform (GCP).
• Lead the deployment of models into production, ensuring reliability and performance.
• Stay updated on advancements in machine learning and apply them to improve model capabilities.
• Collaborate with teams to translate business requirements into technical solutions.
• Mentor junior engineers to foster continuous learning and growth.
• Implement monitoring solutions to track model performance.

Requirements

• Bachelor’s, Master’s, or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or related field.
• 5+ years of experience in machine learning or data science with a proven track record.
• Proficiency in programming languages such as Python, Java, or C++.
• Experience with machine learning frameworks like TensorFlow or PyTorch.
• Familiarity with cloud platforms, ideally GCP, and NoSQL databases like MongoDB.
• Solid understanding of software engineering principles and best practices.
• Experience with MLOps practices and tools.
• Strong analytical and problem‑solving skills.

Benefits

• Unlimited PTO policy.
• Competitive rewards aligned with the market range.
• Flexible remote working options (-+3 hours CT).
• Results‑driven flexible working hours.
• A dynamic start‑up environment.
• International teamwork opportunities.
• Limitless career growth potential.

Why Apply Through Jobgether?

We use an AI‑powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top‑fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre‑contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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