Вакансия: ML Engineer
Описание вакансии
About the company
International technology company specializing in digital solutions for content distribution and personalization. The company develops products that provide users with seamless access to various materials in a convenient format.
Working with large-scale data, the company employs cutting-edge models, including proprietary AI solutions, fine-tuned LLMs, and third-party integrations. Key areas of expertise include PDF processing, NLP, fact extraction, chatbots, recommendation systems, and user analytics.
The company is currently looking for an experienced AI/ML Engineer to join their team. Since their headquarters are in Canada, a candidate will be required to be available for company team meetings from 6 p.m. to 9 p.m. CET.
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.
What We're Looking for in a Candidate:
- Bachelor s or Master s degree in Computer Science, Machine Learning, AI, Data Science or a related field.
- 3-5 years of hands-on experience in AI/ML model development and deployment.
- Contributions to open-source AI/ML projects or published research (preferred).
- Proficiency in Python (specifically PyTorch) and other AI/ML frameworks.
- Strong understanding of deep learning, NLP, and/or computer vision techniques.
- Experience with cloud platforms (AWS, Azure, Google Cloud) for AI/ML workloads.
- Familiarity with MLOps best practices (monitoring, versioning, CI/CD).
- Strong problem-solving skills and ability to thrive in a fast-paced environment.
- Excellent communication skills and ability to work with cross-functional teams.
- Fluent English (B2/C1)
Benefits of working with us:
- Fully remote position (40 hours per week) .
- Flexible working hours, with required availability from 9 AM to 12 PM PST for team meetings; remaining hours can be scheduled as preferred.
- Opportunity to work with cutting-edge AI technologies and solve complex problems.
- Collaboration with a highly skilled and motivated team in a dynamic environment.
