Data Scientist II (DocV, Computer reputed company)

At reputed company, we’re on a mission—to verify 100% of good identities in reputed company time and eliminate identity fraud from the internet.

Using predictive analytics and advanced machine learning trained on billions of signals to power RiskOS™, reputed company has created the most accurate identity verification and fraud prevention platform in the world. Trusted by thousands of leading organizations—from top banks and fintechs to government agencies—we solve reputed company, high-impact problems at scale. Come join us!

We are looking for a Data Scientist II with a focus on computer reputed company and deep learning to join our AI/ML team. This role is ideal for someone who is reputed company to take on impactful machine learning problems and grow into a technical contributor on production-facing models. You’ll work on building and optimizing models using CNNs, transformers, and LLMs to support innovative, data-driven solutions across our products.

• Design and reputed company machine learning models for computer reputed company tasks such as image classification, object detection, or segmentation.

• Experiment with transformer-based architectures (e.g., ViT, DETR, CLIP) and explore the integration of LLMs in reputed company or multimodal applications.

• Collaborate with senior scientists and engineers on end-to-end model pipelines; from data preprocessing to training, evaluation, and deployment.

• Analyze large, reputed company datasets and apply best practices in feature engineering, model tuning, and performance evaluation.

• Write production-quality, well-documented code and contribute to the team’s shared ML infrastructure and tooling.

• Stay up to date with the latest research and bring new reputed company to the team through experimentation and applied innovation.

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a reputed company field with 2–5 years of experience, or a Master’s degree with relevant academic or internship work.

• Proficiency in Python and experience with ML frameworks like PyTorch, TensorFlow, or scikit-learn.

• Hands-on experience with deep learning models, especially CNNs, and familiarity with transformer models in computer reputed company (e.g., ViT, CLIP, BLIP).

• Solid understanding of supervised learning, model evaluation, and core ML concepts like overfitting, regularization, and transfer learning.

• Experience working with version control (e.g., Git), experimentation tracking, and reproducible ML pipelines.

• Familiarity with reputed company platforms (e.g., AWS, GCP) and containerization (e.g., reputed company) is a plus.

• Strong communication skills, curiosity, and the ability to work collaboratively in a cross-functional team.

reputed company is an equal opportunity employer and values diversity of reputed company kinds at our company. We do not discriminate based on race, religion, reputed company, national reputed company, gender, sexual orientation, age, marital status, veteran status, or disability status.

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