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Data scientist – Computer vision Engineer

Job in Dallas, Dallas County, Texas, 75215, USA
Listing for: Largeton Group
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Data Scientist – Computer Vision Engineer

Data Scientist – Computer Vision Engineer

Location
:
Dallas, TX (Hybrid) – Need local residents

Duration
: 6 months + possible extension

Interview Type
:
Video

Base Pay Range
: $58.00/yr – $60.00/yr

Responsibilities
  • Train computer vision and deep learning models to solve computer vision use cases.
  • Create and optimize algorithms for image and video analysis, such as object detection, image recognition, segmentation and video analytics.
  • Implement expertise on different object tracking algorithms and track multiple objects in multi-camera setups.
  • Articulate camera calibration and region of interest extraction.
  • Work on large-scale implementations with 100+ streams in real time.
  • Fine-tune deep learning models (CNNs, vision transformers) using Tensor Flow, PyTorch, ONNX, etc.
  • Develop inference pipelines and deploy using NVIDIA frameworks (NGC models, TAO toolkit, Metropolis Deep Stream, Triton Server).
  • Optimize inference pipelines for edge devices.
  • Perform necessary pre/post-processing to optimize computer vision models and evaluate them.
  • Work on action recognition with temporal analysis.
  • Prune models for deployment on edge/ARM devices.
  • Collaborate with Business and IT teams.
Qualifications
  • Minimum 8+ years of software development experience with at least 5 years of hands‑on design and implementation of Computer Vision solutions.
  • Proficiency in Python, PyTorch, Tensor Flow, and CV/ML model development.
  • Experience with object recognition/detection, image segmentation, and video analytics.
  • Knowledge of NVIDIA technologies, MLOps, and optimization for edge deployment.
  • Strong communication skills, including presenting DL and Visa copies during video calls.
Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Engineering and Information Technology

Industries

Information Services

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