Machine Learning Engineer
Uruguay - Remote
Applications have closed
Montevideo Labs
Are you looking for an opportunity to jump-start your career in a thriving tech industry? Join us at Montevideo Labs 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.
What is this position about?
We are looking for a Machine Learning Engineer to work on the core foundation of a platform that enables brands and retailers to gain a deeper understanding of the cognitive attributes of their online customers. Using AI and NLP technologies, the client analyzes the retailer's product catalog, generating valuable insights that enhance the shopping experience for their customers.
The e-commerce platform has a proven track record of helping several fashion retailers globally to increase their top and bottom-line revenues significantly, with 7 out of the top 25 fashion retailers already benefiting from their platform's capabilities.
You may work 100% remotely if you are currently living in LATAM, or you can always join us at the office!
What will I be doing?
- Developing and maintaining a library of machine learning tools (training, configurations storage, etc.) using various frameworks.
- Working with data pipelines and ETL processes to collect, clean, and preprocess data for analysis.
- Collaborating with cross-functional teams to design and implement ML solutions that meet business needs.
- Implementing MLOps practices and deploying ML models to production environments, such as Azure.
- Staying up-to-date with the latest developments in the field of machine learning, including deep learning techniques.
- Communicating complex technical concepts to stakeholders in a clear and concise manner.
What expertise do I need?
- Studies in a quantitative field such as Mathematics, Statistics, Engineering or Computer Science, or a related discipline.
- Proficiency in coding with Python (Pandas and NumPy required).
- Experience with Docker, CI/CD and GitHub Actions.
- Skilled in ETL processes.
- Strong background in SQL and NoSQL databases.
- Knowledge of ElasticSearch is a plus.
- Experience with cloud technologies, Azure preferred.
- Familiarity with deep learning tools such as TensorFlow and PyTorch is a plus.
- Ability to effectively train machine learning models is essential.
- Exposure to NLP is a plus.
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 3+ years of experience as a Machine Learning Engineer.
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 Montevideo Labs
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Azure Big Data CI/CD Computer Science Data pipelines Deep Learning Docker E-commerce Elasticsearch Engineering ETL GitHub Machine Learning Mathematics ML models MLOps NLP NoSQL NumPy Pandas Pipelines Python PyTorch SQL Statistics TensorFlow
Perks/benefits: Career development Flex hours Snacks / Drinks Team events
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