companyqodea logo

Senior Data Science Engineer - Argentina

qodeaBuenos Aires, Buenos Aires, Argentina
Hybrid Full-time

Clicking Apply Now takes you to AutoApply where you can tailor your resume and apply.


Unlock Your Potential

Generate Job-Optimized Resume

One Click And Our AI Optimizes Your Resume to Match The Job Description.

Is Your Resume Optimized For This Role?

Find Out If You're Highlighting The Right Skills And Fix What's Missing

Experience Level

Senior

Qualifications

We seek individuals who exemplify innovation, accountability, and integrity. You should be proficient in Python for data analysis and machine learning, with experience in TensorFlow or PyTorch. Familiarity with model clustering, segmentation techniques, and MLOps principles will set you apart. Strong analytical skills and SQL proficiency are essential, and knowledge of GCP services is a plus.

About the job

Join qodea, a pioneering global technology group that is shaping the future. We provide exceptional professionals with a platform for impactful work that defines careers. Here, you will tackle challenges that have yet to be solved, contributing to groundbreaking projects.

Our exclusive team is sought after by industry leaders such as Google, Snap, Diageo, PayPal, and Jaguar Land Rover for their most pressing and complex challenges, especially when deadlines are tight or solutions have previously eluded others.

Say goodbye to conventional consultancy; at qodea, you will be at the intersection of technology, design, and human behavior, delivering quick, tangible results that leave a lasting impact.

We seek individuals who exemplify:

  • Innovative problem-solving abilities.
  • Accountability for every outcome.
  • Unwavering integrity.

Role Overview

As a Senior Data Science Engineer at qodea, you will play a crucial role in transforming analytical insights into production-ready models. Your focus will be on core data science and machine learning, particularly in recommendation systems and predictive analytics. You will collaborate within a cross-functional team to ensure our AI solutions are practical, scalable, and robust.

Key Responsibilities:

  • Conduct statistical modeling and apply both supervised and unsupervised learning algorithms.
  • Preprocess, clean, and engineer features from large datasets to enhance model performance.
  • Utilize graph structures for analytical insights and work with graph databases.
  • Integrate large language models (LLMs) into applications for reasoning and data comprehension.
  • Design and implement model validation and evaluation frameworks to ensure reliable predictions.
  • Collaborate with MLOps and data engineers to transition models from research to production.

Qualifications That Will Make You Stand Out:

  • Proficient in Python for data analysis and machine learning using TensorFlow or PyTorch.
  • Experience with model clustering and segmentation techniques.
  • Strong analytical and critical thinking skills, employing an iterative approach to development.
  • Familiarity with MLOps principles, including versioning and monitoring.
  • Skilled in SQL for data extraction and manipulation.

Additional Nice-to-Haves:

  • Experience with data vectorization and emerging vector-based technologies.
  • Knowledge of Google Cloud Platform (GCP) data and ML services.

What We Expect From You:

We are establishing a world-class delivery center in Buenos Aires and are looking for the region's top engineering talent. We believe that the best work arises from in-person collaboration. Therefore, we expect a genuine commitment to being present in the office one to two days a week, when not engaged in project work, to help cultivate our culture and engage in spontaneous problem-solving.

About qodea

qodea is a forward-thinking global technology group dedicated to addressing the future's challenges. We provide exceptional professionals with opportunities to engage in high-impact projects that define their careers, collaborating with leading brands worldwide.

Similar jobs

Tailoring 0 resumes

We'll move completed jobs to Ready to Apply automatically.