Senior Machine Learning Engineer

Montevideo, Uruguay

Blend360

Blend360 co-creates value with leading companies through the integration of data, advanced analytics, technology & people. Get in touch with us today.

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Company Description

Are you looking for an opportunity to jump-start your career in a thriving tech industry? Join us at Blend to grow our business and execute our mission to help organizations leverage data and technology to make better decisions. With over 10 years of experience in the field of big data, top US customers such as Mastercard, Tripadvisor, and Roku choose us to develop innovative products. 

Job Description

We are looking for a Machine Learning Engineer to develop and deploy machine learning models that drive advanced digital advertising solutions. In this role, you’ll work with Python and AWS to create scalable models that generate actionable insights, and integrate them with a Ruby on Rails application, enabling clients to make data-driven decisions and optimize their advertising impact. 

This company provides digital advertising insights, giving clients real-time data and intelligence through an advanced dashboard and API. It uses unique methods to simulate real consumer behavior, offering a clear view of how advertising technology is used. By analyzing privacy, bidding, and user identity interactions, the company helps clients build products and improve AI capabilities. 

Qualifications

What will I be doing? 

  • Design and build NLP machine learning models to address critical business needs in digital advertising. 

  • Build end-to-end data pipelines for training fine-tuning, and optimizing model performance. 

  • Implement models on AWS to ensure efficient and scalable operation. 

  • Define and apply metrics to evaluate model accuracy and business impact. 

What expertise do I need? 

  • Studies in fields such as Mathematics, Statistics, Engineering or Computer Science, or a related discipline.  

  • Proficiency in coding with Python 

  • Experience in developing APIs is a must 

  • Experience in coding with Ruby on Rails is a plus 

  • Experience in developing Spark applications is a plus 

  • Experience designing solutiong that leverage cloud technologies, AWS preferred. 

  • Ability to effectively train machine learning models is essential. 

What about languages? 
Excellent written and verbal English for clear and effective communication is a must! 
 
How much experience must I have? 
We're looking for someone with 5+ years of experience as a Machine Learning Engineer.

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? 

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

Cheers! 

The team at Blend

 

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: APIs AWS Big Data Computer Science Data pipelines Engineering Machine Learning Mathematics ML models NLP Pipelines Privacy Python Ruby Spark Statistics

Perks/benefits: Career development Flex hours Snacks / Drinks Team events

Region: South America
Country: Uruguay

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