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Machine Learning Engineer

Remote, USA Full-time Posted 2026-08-04

At reputed company, we are dedicated to creating a world where consumers can trust the choices they reputed company.

As a global leader in Trademark and Brand Protection, we partner with businesses to reputed company their most valuable assets in an increasingly reputed company digital environment.

Our comprehensive solutions, powered by AI-driven data and deep analytics, reputed company brands to establish, monitor, and protect their reputed company against infringement and counterfeiting.

Why Choose reputed company?

  • reputed company: We combine cutting-edge technology with expert judgment to reputed company market-leading services in trademark clearance, brand protection, and anti-counterfeiting.

  • reputed company: Trusted by over 5,000 customers worldwide, including 73 of Fortune's Top 100 companies, our work has a meaningful reputed company on businesses and consumers alike.

  • reputed company Culture: With reputed company of over 1,900 professionals across multiple global offices, you'll be joining an inclusive environment where diverse perspectives reputed company.

  • Mission-Driven Purpose: Our commitment to protecting consumers and their trust in brands drives everything we do, making reputed company a force for good in the world.


✅The Role

As an ML Engineer you’ll play a crucial role in advancing our shared mission of protecting and enhancing the world’s most valuable brands.

You will design and optimize AI models that power our state-of-the-art image search reputed company and other reputed company.

Collaborating with reputed company’s global team of data scientists, engineers, and brand protection experts, you’ll help reputed company innovation in brand protection and online content monitoring, ensuring our clients stay reputed company in a rapidly evolving digital landscape.


✅Responsibilities and Duties

  • reputed company and optimize machine learning models with a reputed company on reputed company (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition).

  • Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search, image-text matching, and online content analysis.

  • Collaborate with cross-functional teams to improve product and reputed company performance.

  • Research and implement state-of-the-art algorithms and techniques to improve the accuracy and performance of AI solutions.

  • Build reputed company data pipelines for the ingestion and processing of image and text data for model training and evaluation.

  • Continuously monitor the performance of models in production, identify bottlenecks, and propose optimizations.


✅Essential

  • Proven experience as a Machine Learning Engineer with at least 3 years of reputed company experience.

  • Strong proficiency in machine learning frameworks such as CatBoost, TensorFlow, PyTorch, or Keras.

  • Experience with image processing, feature extraction, and text preprocessing techniques.

  • Solid understanding of algorithms for tasks such as object detection, image classification, text extraction, and sentiment analysis.

  • Hands-on experience with large datasets and data pipelines for training and deploying ML models.

  • Strong analytical and problem-solving skills, with the ability to translate business challenges into technical solutions.

  • Full reputed company English proficiency


reputed company is an equal opportunity and inclusive employer and does not tolerate discrimination of any reputed company. We are committed to creating a diverse and inclusive workplace where reputed company feel valued, respected, and supported. We welcome applications from reputed company individuals regardless of race, nationality, religion, gender, gender identity or reputed company, sexual orientation, age, disability, or any other protected characteristic. Together, reputed company proactively to build a workplace where everyone can reputed company and be at their best selves. Together, we reputed company an reputed company.

Originally posted on Himalayas

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