Senior Machine Learning Engineer

Company Description

Blend is an award-winning, Data Science Consultancy focused on powering exceptional results for our Fortune 500/1000 clients and other major organizations. We are a growing company—born at the intersection of advanced analytics, data, and technology.

Who we are:

People are everything at Blend.  We are inspired by advancing our Client’s most critical initiatives, products and projects by matching our clients with the right talent. BLEND360 has been among the Inc. 5000 fastest growing companies 8 years in a row, and we’re very proud of our World Class NPS score. Our success is a direct result of our passion for advancing the careers of the talented people we work with every day. When you work at Blend, you will:

• Collaborate with a smart, passionate group of people who are invested in your sucess.
• Partner with an impressive list of clients, who value Blend360’s services and the world class experience we deliver with every engagement.
• Thrive with a company and leadership team who are committed to growth.

What is this position about? 

We are seeking a skilled and motivated Machine Learning Engineer to join our team. In this role, you will be responsible for developing, optimizing, and deploying machine learning models at scale. You will work closely with cross-functional teams to design robust production systems, leveraging cloud infrastructure and modern engineering best practices.

You may work 100% remotely if you are currently living in LATAM or you can always join us at the office in Montevideo, Uruguay!

Job Description

• 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.

Qualifications

• 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.
• 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.
• Solid understanding of software engineering principles, including clean code practices, debugging, and performance optimization.
• Exposure to big data ecosystems and distributed data processing.
• Knowledge of GCP and AWS a plus.

What about languages? 

You will need excellent written and verbal English for clear and effective communication with the team. 

Additional Information

Our perks and 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! 

📚 Learning opportunities: 

• 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! 

So what are the next steps? 

We are eager to learn about you! Send us your resume or LinkedIn profile below and we’ll explore working together!