11 дней назад
AI and ML Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI and ML Engineer (AI/ML): Designing, optimizing, and deploying machine learning models and scalable pipelines for next-generation AI applications with an accent on model performance, production reliability, and MLOps. Focus on building training and inference pipelines, integrating large datasets, deploying low-latency models, and mentoring junior engineers.
Location: Bulgaria, Cyprus, Georgia, Latvia, Poland, Romania, Serbia, or Ukraine
Company
is presented as an organization developing impactful projects that power next-generation AI applications.
What you will do
- Design, implement, optimize, and tune machine learning and artificial intelligence models.
- Develop scalable pipelines for model training, validation, inference, and real-time data integration.
- Deploy models to cloud or on-premises production environments with high reliability, low latency, and scalability.
- Apply MLOps practices, including CI/CD, monitoring, automated retraining, and model registry management.
- Partner with data engineering, data science, software engineering, and product teams to align solutions with business goals.
- Provide technical guidance, participate in code reviews, and contribute to architecture and team best practices.
Requirements
- 5+ years of professional experience in machine learning, AI engineering, or a related field.
- Master’s degree in Computer Science, Machine Learning, Physics, or a related field; a PhD is preferred.
- Proficiency in Python and machine learning frameworks including TensorFlow, PyTorch, and Scikit-learn.
- Strong knowledge of algorithms, statistics, probability, linear algebra, and software engineering fundamentals.
- Hands-on experience with data pipelines, ETL tools, cloud platforms—preferably AWS—and production-scale model deployment.
- Familiarity with MLOps tools such as MLflow, Kubeflow, SageMaker, or Vertex AI, plus strong analytical and communication skills.
Nice to have
- Experience with agentic frameworks such as LangChain or LangGraph.
Culture & Benefits
- Work in a dynamic, fast-paced environment focused on cutting-edge AI technologies.
- Collaborate with cross-functional teams on impactful next-generation AI applications.
- Opportunity to contribute to state-of-the-art research and establish engineering best practices.
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