Senior Machine Learning Engineer - (Remote - Anywhere)

Jobgether; United States; Remote; USD 90,000 - 150,000; Full time

Job summary

An innovative firm is seeking a Senior Machine Learning Engineer to join their dynamic team, focusing on building and scaling automated, cloud-native solutions. In this role, you will design and implement advanced ML models and data workflows that have a real-world impact. Collaborating with data scientists and engineering teams, you'll ensure seamless model deployment and system integration. This opportunity offers the chance to work with cutting-edge technologies in a fast-paced environment that values innovation and continuous learning. If you are passionate about solving complex problems with data and automation, this is the perfect role for you.

Benefits

Flexible working hours

Equity options

10% of time for self-learning

Minimal bureaucracy

Qualifications

• Proven experience in applied machine learning with a portfolio of deployed projects.
• Advanced proficiency in Python and libraries like pandas, scikit-learn, PyTorch.

Responsibilities

• Develop and maintain robust machine learning pipelines for training and deployment.
• Collaborate cross-functionally to ensure production readiness of models.

Skills

Machine Learning

Python

SQL

DevOps

Cloud Platforms (AWS, GCP, Azure)

Tools

Docker

Kubernetes

CI/CD

Job description

Senior Machine Learning Engineer - (Remote - Anywhere)

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About Jobgether
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Senior Machine Learning Engineer in Worldwide.

We're seeking a Senior Machine Learning Engineer to join an innovative team focused on building and scaling automated, cloud-native solutions. You will design and implement advanced ML models and data workflows that impact real-world applications and optimize costs. Collaboration with data scientists, DevOps, and engineering teams will be essential to ensure seamless model deployment and system integration. This role offers the chance to work with cutting-edge technologies in a fast-paced environment that values innovation, ownership, and continuous learning. If you are passionate about solving complex problems with data and automation, this role is for you.

Accountabilities:

• Develop and maintain robust machine learning pipelines for training, validation, and deployment
• Collaborate cross-functionally to ensure production readiness of models and successful system integration
• Leverage cloud-native tools to optimize ML workflows and infrastructure performance
• Apply DevOps principles to streamline CI/CD processes and manage containerized environments
• Ensure compliance with data governance and security standards
• Drive innovation by researching and applying the latest trends in ML, MLOps, and cloud technologies

Requirements:

• Proven experience in applied machine learning and data science, with a portfolio of deployed projects
• Advanced proficiency in Python and libraries like pandas, scikit-learn, PyTorch
• Strong command of SQL and familiarity with large-scale data processing
• Experience with cloud platforms such as AWS, GCP, or Azure
• Solid understanding of DevOps tools and practices, including Docker, Kubernetes, CI/CD, and infrastructure as code
• Hands-on experience building ML pipelines from data ingestion to deployment and monitoring
• Excellent communication skills and ability to work collaboratively

Benefits:

• Work alongside highly skilled engineers and ML professionals
• Flat organizational structure with direct access to leadership
• Short feedback loops and fast feature cycles (1-4 weeks)
• Flexible working hours and remote-first environment
• Equity options — every team member has a stake in the company
• 10% of time allocated for self-learning or personal projects
• Minimal bureaucracy and maximum focus on impactful work

Hiring Process:

This job is posted on behalf of our partner company. Applications undergo an AI-powered 3-step screening process, where the top 5 candidates are automatically selected based on CV and LinkedIn profile analysis. Our process is fair, unbiased, and based solely on qualifications and relevance. Top candidates will be notified within 7 days. If not selected, your profile may be considered for other opportunities. Thank you for your interest!

Additional Details:

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Information Technology
• Industries: Non-profit and Education