Senior Machine Learning Engineer - Remote - USA

FullStack is one of the fastest-growing software consultancy companies in the Americas, delivering transformational digital solutions to top global companies. They are seeking a Senior Machine Learning Engineer to join their team, working on projects that involve designing, developing, and optimizing machine learning models.

Responsibilities:

• You will integrate directly into our client's team and work alongside their existing designers and engineers daily
• You will work on a FullStack product team to build and deliver a product to our clients

Requirements:

• 5+ years of professional experience as a Machine Learning Engineer
• Advanced English is required
• Successful completion of a four-year college degree is required
• Proven experience designing, developing, and optimizing machine learning models
• Hands-on experience integrating machine learning solutions into production systems and applications
• Strong background in Python and machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Demonstrated experience building and deploying scalable ML pipelines in cloud environments
• Proven experience with data preprocessing, feature engineering, and model evaluation techniques
• Deep experience in working with large datasets and distributed data processing tools
• Practical experience with MLOps practices, including model versioning, monitoring, and CI/CD for ML systems
• Familiarity with cloud platforms such as AWS, GCP, or Azure for ML model deployment and scaling
• Solid understanding of APIs and integrating ML models into backend services
• Knowledgeable in performance optimization, scalability, and reliability of ML-driven systems
• Ability to work through new and difficult issues and contribute to libraries as needed
• Ability to create and maintain continuous integration and delivery of applications
• Forensic attention to detail
• A positive mindset and a can-do attitude
• Experience working on Agile/Scrum teams
• Meaningful experience working on large, complex systems
• Ability to take extreme ownership over your work
• Ability to identify with the goals of FullStack's clients, and dedicate yourself to delivering on the commitments you and your team make to them
• Ability to consistently work 40 hours per week