Senior Data Scientist - Applied AI & MLOps

Plain Concepts
Summary
Join Plain Concepts' AI/ML team as a senior-level Data Scientist to lead strategic initiatives and build impactful solutions. You will architect and develop end-to-end AI/ML solutions, lead technical design and implementation of production-grade models and pipelines, and own model and infrastructure deployment, optimization, and monitoring. Collaboration with cross-functional teams, mentoring peers, and knowledge-sharing are key aspects of this role. The ideal candidate possesses 7+ years of experience in AI/ML or Data Science, proven full-stack software development skills with embedded ML components, and expertise in NLP and Computer Vision. This position offers a flexible schedule, optional fully remote work, and a comprehensive benefits package.
Requirements
- 7+ years of experience in AI, Machine Learning, or Data Science
- Proven ability to build full-stack software products with embedded ML components
- Strong background in NLP and Computer Vision
- Expert-level Python skills and solid SQL knowledge
- Hands-on experience with ML frameworks (TensorFlow, PyTorch) and MLOps tools
- Fluent English (mandatory)
Responsibilities
- Architect and develop end-to-end AI/ML solutions tailored to complex business challenges
- Lead technical design and implementation of production-grade models and pipelines
- Own the deployment, optimization, and monitoring of models and infrastructure (MLOps)
- Collaborate across teams to ensure technical excellence and project success
- Mentor peers and contribute to knowledge-sharing across the organization
Preferred Qualifications
- 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
- Knowledge of TensorFlow Lite, TensorFlow Serving, gRPC, and unit testing
- Strong object-oriented programming skills
Benefits
- Flexible schedule 35 Hours / Week π
- Fully remote work (optional) π
- Flexible compensation (restaurant, transport, and childcare) β
- Medical and dental insurance (completely free of charge for the employee) π
- Individual budget for training or equipment and free Microsoft certifications π
- English lessons π½
- Birthday day off π΄π₯³
- Monthly bonus for electricity and Internet expenses at home π»
- Discount on gym plan and sports activities π
- Plain Camp (annual team-building event) πͺ
- Extra perks: events attendance and speakers, welcome pack, baby basket, Christmas basket, discount portal for employees β The pleasure of always working with the latest technological tools!