Senior Data Scientist - Computer Vision

Endava Limited

Monterrey

On-site

MXN 900,000 - 1,500,000

Full time

14 days+

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Benefits offered by this job

Competitive salary package
Global career opportunities
Hybrid work model
Learning opportunities
Wellbeing programme

Job summary

Endava Limited seeks a Senior Data Scientist specializing in Computer Vision to build a world-class sports performance solution. You will design and deploy CV systems to extract insights from videos and model complex movements, with strong ownership of technical decisions and clear stakeholder communication.

The role requires deep learning expertise, Python and PyTorch, and experience with 2D/3D pose estimation, timing-based models, and production-grade pipelines.

Qualifications

  • Hands-on experience deploying computer vision systems to production.
  • Experience with object and people detection.
  • Motion analysis and understanding of complex movement patterns.
  • 2D pose estimation or advanced motion analysis techniques.
  • Temporal modeling across video sequences.
  • Proficiency in Python and PyTorch.
  • Experience training, fine-tuning, and evaluating deep learning models.
  • Dataset curation, annotation workflows, and model evaluation metrics.
  • Experience with video involving complex or fast movements, high frame rates, motion blur, occlusions.
  • Ability to design technical solutions, compare approaches, and make informed decisions.
  • Strong problem-solving skills and ability to work with minimal supervision.
  • Excellent English written and verbal communication with client teams.

Responsibilities

  • Design, develop, and deploy computer vision solutions for motion analysis.
  • Take ownership of technical solutions and communicate trade-offs to stakeholders.
  • Collaborate with client teams and translate requirements into robust data models.

Skills

Python
PyTorch
Computer Vision
Motion Analysis
2D Pose Estimation
Temporal Modeling
Deep Learning
Dataset Curation
Model Evaluation Metrics
English Communication

Tools

PyTorch
Python

Job description

Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change.
By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses.
From prototype to real-world impact - be part of a global shift by doing work that matters.

Job Description

We are seeking a highly skilled and motivated Senior Data Scientist specializing in Computer Vision and complex motion analysis to work on a world-class sports performance solution.

The role involves designing, developing, and deploying advanced computer vision solutions to analyze and interpret complex movements from video. You will work closely with the client's team, taking ownership of technical solutions, making informed technical decisions, and communicating effectively with both technical and non-technical stakeholders.

Qualifications
  • Hands-on experience developing and deploying computer vision systems to production.
  • Object and people detection.
  • Motion analysis and understanding of complex movement patterns.
  • 2D pose estimation or other advanced motion analysis techniques.
  • Temporal modeling across video sequences.
  • Proficiency in Python and PyTorch.
  • Experience training, fine-tuning, and evaluating deep learning models.
  • Comfortable with dataset curation, annotation workflows, and model evaluation metrics.
  • Experience working with video involving complex or fast movements, including challenges such as high frame rates, motion blur, and occlusions.
  • Experience with custom pose estimation approaches, including developing or adapting existing models, skeleton structures, or keypoint definitions.
  • Ability to independently design technical solutions, evaluate different approaches, and make informed technical decisions.
  • Strong problem-solving skills, technical ownership, and the ability to work with minimal supervision.
  • Excellent written and verbal communication skills in English, with the ability to explain technical decisions, discuss trade-offs, and collaborate directly with client teams.

Strong Plus:

  • Experience with 3D pose estimation or 2D-to-3D pose lifting from video.
  • Experience generating and rendering synthetic data for model training.

Nice to Have

  • Familiarity with biomechanics, human movement analysis, or movement screening.
  • Experience working in a Microsoft Azure environment.
  • Previous experience with Sports AI or sports performance analytics.
Additional Information

Discover some of the global benefits that empower our people to become the best version of themselves:

  • Finance: Competitive salary package, share plan, referral bonus;
  • Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership;
  • Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences;
  • Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme;
  • Health: Global internal wellbeing programme, access to wellbeing apps;
  • Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.

At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.

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