Remote Senior IA/ML Engineer (Eng/Esp)

Description:

• The company is expanding its development teams and is looking for a Senior Data Scientist Engineer to join the international AI/ML team.
• The role involves developing tailored solutions to meet client needs, training and deploying models, and putting research into production.
• The engineer will work on challenging projects using cutting-edge technologies and will be part of a multidisciplinary team addressing software engineering challenges associated with AI.
• The position offers the possibility of working from home or from the company's offices in an international environment.
• Responsibilities include participating in the design and development of AI solutions, building production-level ML/AI solutions, MLOps automated deployment and monitoring, data analysis, developing and training ML models, and putting AI models into production.

Requirements:

• More than 5 years of experience in AI/Machine Learning/Computer Science.
• Ability to build an end-to-end software product with a machine learning component.
• Knowledge in applied computer vision, strong skills in Python, and reasonable SQL understanding.
• Experience in building ML/deep learning pipelines and models, implementing production-ready ML models, and working on projects with NLP.
• MLOps experience is valuable for the team.
• Mandatory proficiency in English.
• Nice to have: experience with deep learning frameworks, Big Data projects, RESTful web services, DevOps technologies, cloud-based solutions, Azure Machine Learning, TensorFlow Lite, TensorFlow serving, grpc, unit testing, and object-oriented programming skills.

Benefits:

• Salary determined by the market and experience.
• Flexible 35-hour workweek with a 1-year trial period.
• Option for fully remote work.
• Flexible compensation for restaurant, transport, and childcare.
• Medical and dental insurance provided free of charge.
• Individual budget for training and free Microsoft certifications.
• English lessons.
• Birthday day off.
• Monthly bonus for electricity and Internet expenses.
• Discount on gym plan and sports activities.
• Annual team-building event.
• Opportunity to work with the latest technological tools.