Senior Machine Learning Engineer - (Remote - Anywhere) Be among the first 25 applicants 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 looking for a Senior Machine Learning Engineer to join an innovative team focused on building and scaling automated, cloud-native solutions. In this role, you'll design and implement advanced ML models and data workflows that drive real-world impact and cost optimization. You'll collaborate closely with data scientists, DevOps, and engineering teams to ensure seamless model deployment and system integration. This is an exciting opportunity to work with cutting-edge technologies in a fast-paced environment that values innovation, ownership, and continuous learning. If you're 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 integration with existing systems 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 strong portfolio of deployed projects Advanced proficiency in Python and experience with 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 thrive in a collaborative team environment 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 Jobgether hiring process disclaimer: This job is posted on behalf of one of our partner companies. If you choose to apply, your application will go through our AI-powered 3-step screening process, where we automatically select the 5 best candidates. Our AI thoroughly analyzes every line of your CV and LinkedIn profile to assess your fit for the role, evaluating each experience in detail. When needed, our team may also conduct a manual review to ensure only the most relevant candidates are considered. Our process is fair, unbiased, and based solely on qualifications and relevance to the job. Only the best-matching candidates will be selected for the next round. If you are among the top 5 candidates, you will be notified within 7 days. If you do not receive feedback after 7 days, it means you were not selected. However, if you wish, we may consider your profile for other similar opportunities that better match your experience. Thank you for your interest! Seniority level: Mid-Senior level Employment type: Full-time Job function: Information Technology Industries: Non-profit Organizations and Primary and Secondary Education #J-18808-Ljbffr