Senior Machine Learning Engineer

Summary

Join Blend, an award-winning data science consultancy, as a Machine Learning Engineer. You will design, develop, and optimize machine learning models using Python, SparkML, and related libraries; build and maintain scalable microservices; develop in-house tools; deploy and manage ML models using cloud infrastructure; and collaborate with cross-functional teams. This role requires a Bachelor's degree or higher in Computer Science or a related field, 4+ years of experience in software development or machine learning engineering, proficiency in Python, and experience with cloud platforms. You will work closely with data engineers, product managers, and DevOps teams. The position offers flexible working options and is 100% remote if you are located in LATAM or you can work from the Montevideo, Uruguay office. Blend provides various perks and benefits, including daily lunches, flexible working options, equipment, snacks, after-office events, learning opportunities, mentoring, and development opportunities.

Requirements

• Bachelor’s degree or higher in Computer Science or a related technical field
• 4+ years of experience in software development or machine learning engineering roles
• Proficiency in Python, especially for ML applications
• Strong understanding of machine learning and AI techniques
• Experience with cloud platforms and infrastructure (e.g., AWS, Azure, GCP) for deploying ML models
• Familiarity with Spark, SparkML, and big data processing frameworks
• Solid understanding of software engineering principles, including clean code practices, debugging, and performance optimization
• Exposure to big data ecosystems and distributed data processing
• Excellent written and verbal English for clear and effective communication with the team

Responsibilities

• Design, develop, and optimize machine learning models using Python, SparkML, and related libraries
• Build and maintain scalable microservices for model serving and low latency/ high throughput backend services that leverage ML
• Develop in-house tools and automation frameworks to streamline ML workflows
• Deploy, manage, and scale ML models using cloud infrastructure
• Write clean, maintainable, and efficient code with strong emphasis on performance and reliability
• Collaborate with data engineers, product managers, and DevOps teams to integrate ML models into production environments
• Monitor and debug model performance, ensuring reliable operations in production

Preferred Qualifications

• Competency in Java; knowledge of Scala is a plus
• Knowledge of Kubernetes and containerization best practices
• Experience building ML and data pipelines using frameworks like Airflow
• Knowledge of GCP and AWS a plus

Benefits

• Every day lunches! (headquarters)
• Vegetarian, vegan, gluten and sugar-free options
• Gourmet meals every Friday with our on-site chef!
• Flexible working options to help you strike the right balance
• All the equipment you need to harness your talent (Macbook and accessories)
• Snacks and beverages available everyday (headquarters)
• After office events, football, tennis and game nights (headquarters)
• Everyone is welcome to join our football league every Wednesday’s and Friday’s
• Challenge your teammates to a pool game and win the office’s trophy!
• Tennis courts available for friendly matches
• You are not a sports person? Don’t worry, we also have chess championships, game and music nights for you to join!
• AWS Certifications (we are AWS Partners)
• Study plans, courses and other certifications
• English Lessons
• Learn from your teammates on our Tech Tuesdays!
• Mentoring and Development opportunities to shape your career path
• Anniversary and birthday gifts
• Great location and even greater teammates!