Work format
remote
Work type
fulltime
1 week ago
AI/ML Engineer
ml
ai
nlp
document recognition
recommendation systems
AI/ML Engineer
Fully remote position
We are an international technology company developing digital solutions for content distribution and personalization. Our products enable users to access a wide range of materials in a convenient format. We actively leverage ML and AI for data analysis, recommendations and automation of key processes. Our focus areas include PDF processing, NLP, fact extraction, chatbots, recommendation systems and user analytics.
What would you be doing:
— Building and optimizing ML models for tasks such as document recognition, NLP, and recommendation systems.
— Developing and maintaining AI/ML pipelines, covering data collection, preprocessing, feature engineering, training, and deployment.
— Collaborating with cross-functional teams to integrate AI solutions into real-world applications.
— Researching and experimenting with state-of-the-art ML techniques to improve model accuracy and efficiency.
— Ensuring AI models operate efficiently at scale and can handle large datasets and real-time processing.
— Continuously monitoring, evaluating, and refining deployed models while adhering to AI ethics, data privacy, and security standards.
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Fully remote position
We are an international technology company developing digital solutions for content distribution and personalization. Our products enable users to access a wide range of materials in a convenient format. We actively leverage ML and AI for data analysis, recommendations and automation of key processes. Our focus areas include PDF processing, NLP, fact extraction, chatbots, recommendation systems and user analytics.
What would you be doing:
— Building and optimizing ML models for tasks such as document recognition, NLP, and recommendation systems.
— Developing and maintaining AI/ML pipelines, covering data collection, preprocessing, feature engineering, training, and deployment.
— Collaborating with cross-functional teams to integrate AI solutions into real-world applications.
— Researching and experimenting with state-of-the-art ML techniques to improve model accuracy and efficiency.
— Ensuring AI models operate efficiently at scale and can handle large datasets and real-time processing.
— Continuously monitoring, evaluating, and refining deployed models while adhering to AI ethics, data privacy, and security standards.
More details
Apply to