Remote Senior Data Scientist - Applied AI & MLOps

Description:

• We are expanding our AI/ML team with a senior-level engineer ready to lead strategic initiatives.
• This role is ideal for someone with deep technical expertise and a passion for building impactful solutions.
• You will be part of a multidisciplinary team, driving innovation and delivering high-quality AI systems.
• You will be responsible for architecting and developing end-to-end AI/ML solutions tailored to complex business challenges.
• You will lead the technical design and implementation of production-grade models and pipelines.
• You will own the deployment, optimization, and monitoring of models and infrastructure (MLOps).
• You will collaborate across teams to ensure technical excellence and project success.
• You will mentor peers and contribute to knowledge-sharing across the organization.

Requirements:

• You must have 7+ years of experience in AI, Machine Learning, or Data Science.
• You should have a proven ability to build full-stack software products with embedded ML components.
• A strong background in NLP and Computer Vision is required.
• You must possess expert-level Python skills and solid SQL knowledge.
• Hands-on experience with ML frameworks (TensorFlow, PyTorch) and MLOps tools is necessary.
• Fluency in English is mandatory.
• Bonus skills include experience with Big Data tools and cloud platforms (especially Azure), RESTful API development, and DevOps practices (Docker, CI/CD).
• Familiarity with recommendation systems, unsupervised learning, and ranking models is a plus.
• Knowledge of TensorFlow Lite, TensorFlow Serving, gRPC, and unit testing is advantageous.
• Strong object-oriented programming skills are required.

Benefits:

• Salary will be determined by the market and your experience.
• You will have a flexible schedule of 35 hours per week.
• Fully remote work is optional.
• Flexible compensation options are available for restaurant, transport, and childcare.
• Medical and dental insurance is provided completely free of charge for the employee.
• An individual budget for training or equipment and free Microsoft certifications will be offered.
• English lessons will be provided.
• You will receive a birthday day off.
• A monthly bonus for electricity and Internet expenses at home will be included.
• Discounts on gym plans and sports activities are available.
• An annual team-building event called Plain Camp will be organized.
• Additional perks include events attendance, speakers, a welcome pack, a baby basket, a Christmas basket, and a discount portal for employees, along with the opportunity to work with the latest technological tools.