Machine Learning Engineer - LATAM

Machine Learning Engineer

Location: Latin America

Job type: Contractor Full time

Flexible working arrangements: Remote/Hybrid

Why QS?

At QS, we believe that work should empower you. That’s why we foster a flexible working environment that encourages every employee to own their career whilst thriving personally and professionally. Our company values underpin everything we do – we collaborate, respect and support each other.

It’s our mission to empower motivated people around the world to fulfil their potential through higher education, ensuring that everyone has access to opportunities that change lives.

Our diversity makes us stronger. By sharing our experiences, we learn from one another and achieve more together, driving progress across the sector.

At QS, you’ll be responsible for implementing real change in the international higher education landscape. You’ll take on meaningful challenges that see a positive impact across the business and the wider sector.

We’re confident you’ll feel right at home here. QS was named as one of Newsweek’s Top 100 Most Loved Workplaces® in the UK (October 2023) – recognition of the respect, trust and appreciation that drive our culture every day.

The role

ML Engineers/ Data Scientists have diverse experience across traditional and modern AI. Data Scientists are capable of creating various machine learning-based tools or processes. Data scientists utilize their analytical, statistical, and programming skills to analyze and interpret large data sets to develop AI-powered data-driven solutions to difficult business challenges

As an Infrastructure ML Engineers in our infrastructure department, you'll play a crucial role in enhancing our university-focused educational platform through the development and maintenance of innovative ML implementations. Working closely with our technical and business teams, you will be working together to augment the intelligence and functionality inside of our higher education platform. Your responsibilities include analysing and interpreting large data sets to develop AI-powered data-driven solutions to difficult business challenges. Additionally, you'll contribute to the refinement of our internal strategy and documentation to further augment our ML capabilities

Role responsibilities:

· Responsible for designing, implementing, and maintaining machine learning models and systems that can scale and support business objectives.

· Work with large datasets, ensuring data quality, preprocessing, and feature engineering.

· Deploy machine learning models to production environments using cloud services (GCP)

· Integrate models into existing applications and services through APIs and microservices.

· Develop and fine-tune NLP models for tasks such as text classification, named entity recognition (NER), topic modeling, or question-answering.

· Design and implement recommendation algorithms, including collaborative filtering, content-based filtering, and hybrid approaches.

· Work closely with product teams to align ML models with business goals.

Key skills and experience:

· Substantial experience working with Machine Learning or NLP solutions.

· Sound knowledge and experience in Natural Language Processing and Recommendation systems.

· Experience working with Spacy

· Hands-on experience with statistical tools like python, pandas, numpy.

· Hands-on experience with deep learning frameworks like tensorflow, pytorch, keras.

· Familiarity with Cloud platforms like GCP(Preferred).

· Familiarity with development and deployment of ML models on Cloud Infrastructures.

· Experience working with end-to-end MLOPs pipelines in a cloud environment.

· A never-ending curiosity to keep exploring new solutions and innovative systems.

So, who are we and what do we do?

QS is the world leader in higher education services, analytics, insights and intelligence. From consultancy to student mobility, academic partnerships to branding solutions, our services power both institutional and individual success.

We’re behind the world’s most widely read university rankings (Meltwater 2023). Our QS World University Rankings® reach hundreds of millions, shaping decisions and guiding futures.

Since launching in 1990, our impact and influence have only grown. Today, we work with more than 2,000 of the world’s leading higher education institutions, over 12,000 employers, and governments seeking change and socioeconomic development through higher education.

Join QS and you’ll join an 800-strong community of problem-solvers, creators, collaborators and change-makers based in 40+ countries and 11 international offices, including Australia, Malaysia, India, Romania, Singapore, France, Germany, the USA and our headquarters in London.

With every talented new hire, business acquisition and bold initiative, we’re strengthening our reach and delivering even greater value to institutions and learners worldwide. Are you ready to shape the future of higher education?

We take investing in our people very seriously.

Outside of the standard benefits we also offer resources to allow professional growth and wellness initiatives to nurture a healthy mindset:

• Free subscription to the Calm App – the #1 app for sleep, meditation, and relaxation
• A focus on welfare which is led by our global wellness team, with mental health first aiders globally
• Access to a variety of diversity and inclusion initiatives and groups
• Strong recognition and reward programs – including a peer-to-peer recognition platform, quarterly and annual QS Applaud Awards, Connect with your Career annual PD event
• Support for volunteering and study leave
• Free subscription to LinkedIn learning – with over 5000 courses and programmes at your fingertips
• Options to join our outstanding global Mentorship programme

Like what you’ve heard? Great, apply now!

As a candidate, we know the application and interview process can be daunting and so it’s important that you have a great experience with us. Our dedicated Talent Team will work hard to ensure you are fully informed at all stages and you are really excited by this opportunity to do meaningful work in the education space.

Equal opportunities

QS Quacquarelli Symonds is proud to be a fair and equal organisation where everyone has the same opportunity to achieve their full potential, irrespective of their background or personal attributes. We celebrate our diversity and believe through sharing our experiences we can learn from one another, be stronger together, and enable our business to thrive. 

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