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? 

As a Machine Learning Engineer in our team, you'll design, develop, and deploy scalable ML models, optimize algorithms for performance, integrate models into production systems, and collaborate with cross-functional teams to drive AI-driven solutions.

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

• Develop, optimize, and deploy machine learning models using Python, PyTorch, and SciPy.

• Design and implement microservices for model serving with Kubernetes.

• Work with Large Language Models (LLMs) and multi-modal models, integrating APIs for real-world applications.

• Apply prompt engineering techniques to improve model interactions and outputs.

• Build and maintain in-house tools and automation frameworks using Python.

• Utilize cloud infrastructure to deploy, scale, and manage ML models efficiently.

• Ensure high-quality software development, adhering to best coding practices and performance optimization.

• Collaborate with cross-functional teams to integrate ML models into production systems.

Qualifications

• 3+ years of experience in Advanced Data Science, specializing in predictive modeling, statistical analysis, machine learning, and time series forecasting.

• Proficiency in Python, PyTorch, and SciPy for machine learning development.

• Experience in microservices architecture and model serving using Kubernetes.

• Familiarity with Large Language Models (LLMs), multi-modal models, and API integration.

• Understanding of prompt engineering techniques for optimizing model responses.

• Strong ability to create and maintain in-house tools and automation using Python.

• Experience working with cloud infrastructure for ML deployment.

• Solid software development skills, including clean coding, debugging, and performance tuning.

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!