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What You’ll Do
You’ll design and deliver machine learning solutions that blend cutting‑edge research with practical deployment.
- Develop end‑to‑end computer vision models using deep learning architectures (YOLO, ResNet, optical flow, segmentation) tailored to complex visual data pipelines.
- Collaborate with software engineers and data scientists to integrate research‑driven models into deployable systems that operate in dynamic production environments.
- Work closely with external stakeholders to frame ambiguous problems, explore solution paths, and translate technical insights into impactful results.
- Lead the exploration and analysis of large datasets using Pandas, NumPy, and Spark to inform model design and evaluate performance under realistic constraints.
- Identify when state‑of‑the‑art ideas can be adapted and productionized to serve the problem at hand.
What We Need
- 2+ years of hands‑on experience building computer vision models using modern deep learning techniques.
- Proven ability to take models from prototype to production in Python‑based workflows.
- Experience working in client‑facing roles or directly engaging with stakeholders to refine project requirements.
Technical Expertise
- Strong proficiency in Python and commonly used ML/data libraries (Pandas, NumPy, PyTorch, etc).
- Familiarity with core computer vision tools and model types (YOLO, ResNet, segmentation, optical flow, etc).
- Experience working with large‑scale datasets using distributed tools such as Spark.
- Comfort navigating cloud environments (GCP, AWS, or similar); Databricks experience is a plus.
- Solid grasp of experimental design, model evaluation, and data debugging practices.
- Strong code hygiene: able to write clean, modular, testable code in collaborative environments.
Bonus (Nice To Haves)
- Familiarity with MLOps practices (model tracking, versioning, reproducibility).
- Experience contributing to multi‑model systems or pipelines built by larger teams of data scientists and engineers.
We offer a pay range of $30+ per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location.
As a contractor you’ll supply a secure computer and high‑speed internet; company‑sponsored benefits such as health insurance and PTO do not apply.
Important
All candidates must pass an interview as part of the contracting process.
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