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Requirements
- 3+ years of real-world experience turning ideas into production-ready solutions
- Strong Python skills (OOP mindset) and a solid grasp of SQL
- Hands-on expertise in Machine Learning & Computer Vision, using tools like PyTorch, OpenCV, NumPy, HuggingFace, LangChain,SKLearn, XGB, LightGBM, Polars, Dask, and Vision AI APIs (GCP)
- A strong foundation in ML theory — you know not just how models work, but why
- Experience owning the full ML lifecycle: understanding business needs, preparing data, building features, evaluating models, testing hypotheses, and deploying to production
- Confidence working in the cloud (GCP/Azure)
- Professional English skills (B2+), written and spoken
Experience with big data or distributed systems.
Responsibilities
The successful candidate will leverage Generative AI Models where applicable and support project deliverables by collaborating closely with Customer stakeholders.
A critical component of this role is analyzing and interpreting findings, drawing actionable conclusions, and making recommendations that include expected benefits and measuring Return on Investment (ROI) for enhancing business processes.
A critical component of this role is analyzing and interpreting findings, drawing actionable conclusions, and making recommendations that include expected benefits and measuring Return on Investment (ROI) for enhancing business processes.
Our offer
- Competitive salary range commensurate with experience.
- Comprehensive benefits package.
- Opportunities for professional development and career growth.
- Remote work flexibility.
Key Skills
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