AI Engineer

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Design, develop, and deploy machine learning and AI systems for real-world applications
Build and optimize custom AI models for domain-specific tasks
Design and maintain data mining, data preprocessing, and data-labeling pipelines
Work with large datasets, including feature engineering and data preparation
Apply machine learning techniques across LLMs, NLP, computer vision, and other AI domains
Train, evaluate, optimize, and improve machine learning models
Develop and maintain model deployment and MLOps pipelines
Deploy and serve models using cloud platforms and containerized environments
Use Docker, Git, and relevant MLOps platforms in collaborative development workflows
Analyze model performance and identify opportunities for improvement
Communicate technical concepts and project progress to non-technical stakeholders.

2–5 Years of hands-on experience building and deploying ML/AI models in production environments
Strong proficiency in Python
Practical experience with PyTorch and/or TensorFlow
Experience designing and architecting custom AI models
Experience with LLMs, NLP, computer vision, or other AI domains
Strong understanding of supervised and unsupervised learning, deep learning architectures, optimization, and evaluation metrics
Experience with data preprocessing, feature engineering, data mining, and data-labeling pipelines
Familiarity with MLOps tools and model deployment platforms such as MLflow, Kubeflow, or SageMaker
Knowledge of cloud platforms and services used for model training and serving, such as AWS Lambda
Experience with Docker and containerized model deployment
Familiarity with Git and collaborative software development practices
Strong analytical and problem-solving skills
Ability to communicate complex technical concepts to non-technical stakeholders
Curiosity-driven mindset and comfort working with ambiguity.

Если просят выйти из iCloud, прислать код из SMS, запустить или установить что-то, перевести деньги — не соглашайтесь: это мошенничество.

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