Innowise

Lead ML/DS Engineer

In short

Lead ML/DS Engineer позиция в Innowise, компании со опытом реализации более 1300 проектов для клиентов по всему миру. Роль требует глубокой экспертизы в Data Science, NLP, Computer Vision, LLM/RAG решениях и MLOps процессах, а также навыков менторства и лидерства в команде. Формат работы полностью удалённый, необходим английский и/или немецкий на уровне B2+.

Описание
Innowise is a team of professionals that has implemented over 1,300 projects for clients worldwide.
Задачи
No tasks specified
Требования
•Strong Python skills
•3+ years of professional commercial experience applying Data Science, NLP, and/or Computer Vision to business problems
•Familiarity with state-of-the-art models and advanced approaches in Data Science, NLP, and Computer Vision
•Deep knowledge of ML/AI frameworks, algorithms, and techniques, including TensorFlow, PyTorch, Scikit-learn, supervised, unsupervised, and reinforcement learning, feature engineering, model optimization, and hyperparameter tuning
•Experience developing solutions based on LLMs and RAG, building intelligent agents, and applying MCP techniques and other modern AI approaches
•Understanding of big-data platforms and cloud services for scalable deployment
•Basic DevOps skills, including CI/CD, Linux fundamentals, and Docker
•Experience building MLOps processes, automating ML model lifecycles, managing data and model versions, configuring pipelines, and A/B testing
•Experience using Git for version control and collaboration
•Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Statistics, or a related discipline
•Ability to work with product managers, data analysts, and business leaders
•Experience mentoring and delegating tasks within a team
•Strong communication skills and a desire to develop leadership competencies
•English and/or German proficiency at B2 level or higher
Будет плюсом: Certifications in ML, data science, or cloud platforms; knowledge of modern AI tools and experience using them at work
Условия
•Flexible work schedule
•Experience working with clients worldwide
•Financial assistance
•Medical insurance

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