Deep Learning Engineer

Rapsodo; Çankaya; On-site; TRY 350,000 - 600,000; Full time

Job summary

Rapsodo is seeking a Deep Learning Engineer for its Computer Vision & Machine Learning team in Turkey. You will own the full model lifecycle from data collection to deployment, and you will design data pipelines, train and optimize models, and develop synthetic datasets using Blender and Python-based rendering.

You will work on deploying models to embedded hardware, defining evaluation benchmarks, and ensuring quality with automated tests while collaborating with cross-functional teams to

Qualifications

• Bachelor's degree in a related field (CS/CE/EE)
• Strong Python skills with PyTorch or TensorFlow
• Solid understanding of CV fundamentals and image formation
• Experience with Blender or 3D rendering tools
• Familiarity with Linux, Git, and Docker
• Strong analytical and problem-solving skills with data quality
• Good communication skills in English

Responsibilities

• Own the full deep learning model lifecycle from data collection to deployment
• Design and improve data collection, labeling, and annotation pipelines
• Train, evaluate, and optimize detection, segmentation, keypoint, and tracking models
• Develop synthetic datasets using Blender and Python-based rendering
• Build and maintain reproducible MLOps pipelines with experiment tracking
• Optimize models for deployment on embedded hardware
• Define evaluation benchmarks and ensure model quality through automated testing
• Collaborate with cross-functional teams to deliver production-ready AI solutions

Skills

Python

PyTorch/TensorFlow

Computer Vision

English communication

Education

Bachelor's degree in CS/CE/EE

Tools

Blender

Docker

Linux

Git

Job description

Rapsodo is a sports technology company that designs computer vision and machine learning products to help athletes maximize their performance. With offices strategically located in Singapore, Turkey, the USA, Japan, and the UK. Rapsodo is the undisputed leader in sports technology. Current partners include all 30 MLB teams, MLB, USA Baseball, Golf Digest, PGA of America, and over 1000 NCAA athletic departments.

Opened in 2018, our Turkey office operates as the R&D arm of Rapsodo. We have offices located in Bayraklı & Technopark in the Izmir Ege University, recognized by the Ministry of Science, Industry and Technology as one of Turkey’s most successful Technoparks. Our offices incorporate UI/UX, Mobile, Cloud Technologies along with Computer Vision, Deep Learning, Data Science and Unity teams. Rapsodo is rapidly growing, and we are looking for team players who will contribute to deliver state-of-the-art solutions with us.

We're looking for a Deep Learning Engineer to join our Computer Vision & Machine Learning team!

Description

Rapsodo is a sports technology company that designs computer vision and machine learning products to help athletes maximize their performance. With offices strategically located in Singapore, Turkey, the USA, Japan, and the UK. Rapsodo is the undisputed leader in sports technology. Current partners include all 30 MLB teams, MLB, USA Baseball, Golf Digest, PGA of America, and over 1000 NCAA athletic departments.

Opened in 2018, our Turkey office operates as the R&D arm of Rapsodo. We have offices located in Bayraklı & Technopark in the Izmir Ege University, recognized by the Ministry of Science, Industry and Technology as one of Turkey’s most successful Technoparks. Our offices incorporate UI/UX, Mobile, Cloud Technologies along with Computer Vision, Deep Learning, Data Science and Unity teams. Rapsodo is rapidly growing, and we are looking for team players who will contribute to deliver state-of-the-art solutions with us.

We're looking for a Deep Learning Engineer to join our Computer Vision & Machine Learning team!

Key Responsibilities

• Own the full deep learning model lifecycle, from data collection to deployment.
• Design and improve data collection, labeling, and annotation pipelines.
• Train, evaluate, and optimize detection, segmentation, keypoint, and tracking models.
• Develop synthetic datasets using Blender and Python-based rendering pipelines.
• Build and maintain reproducible MLOps pipelines, including experiment tracking and dataset versioning.
• Optimize models for deployment on embedded hardware.
• Define evaluation benchmarks and ensure model quality through automated testing.
• Collaborate with cross-functional teams to deliver production-ready AI solutions.

Qualifications

• Bachelor's degree in Computer Engineering, Computer Science, Mathematics, Electrical Engineering, or a related field.
• Strong Python skills with hands-on experience in PyTorch or TensorFlow.
• Good understanding of computer vision fundamentals, including camera models and image formation.
• Experience with Blender or other 3D rendering tools.
• Familiarity with Linux, Git, and Docker.
• Strong analytical and problem-solving skills with attention to data quality.
• Good communication skills in English.
• Personal projects, research, or open-source contributions are highly valued.

Nice to Have

• Experience with MLflow, Weights & Biases, DVC, ClearML, or Kubeflow.
• Experience deploying models with TensorRT, ONNX Runtime, or TensorFlow Lite.
• Knowledge of multi-object tracking or pose estimation.
• Experience with C++ for inference optimization.
• Interest in sports technologies.