AI Engineer
New
PolandFull-TimeMiddle
Salary30,000 - 70,000 USD per year
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Job Details
- Experience
- 3+ years
- Required Skills
- AWSPythonMachine LearningPyTorchData StructuresTensorflowCI/CDscikit-learnNLPMLOps
Requirements
- 3+ years of experience as an AI/Machine Learning Engineer, Data Scientist, or a related role.
- Strong proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Proven experience designing, training, and deploying machine learning models in a production environment.
- Solid understanding of data structures, algorithms, and statistical methods.
- Experience with natural language processing (NLP), computer vision, or deep learning models.
- Proficiency in Python and familiarity with other programming languages (e.g., Java, C++).
- Experience working with cloud platforms like AWS, GCP, or Azure, and deploying AI solutions in a cloud-native environment.
- Experience with MLOps best practices, including version control, automated testing, and CI/CD pipelines for machine learning models.
- Strong analytical and problem-solving skills, with an ability to work through ambiguity and adapt to a fast-paced startup environment.
Responsibilities
- Design, build, and deploy AI/ML models that solve real-world problems, including recommendation systems, predictive analytics, and natural language processing (NLP) solutions.
- Collaborate with product managers and stakeholders to identify AI opportunities that align with business objectives.
- Collect, preprocess, and analyze large datasets to build and train machine learning models.
- Implement end-to-end pipelines for deploying AI models, including data collection, feature engineering, model training, and production deployment.
- Continuously improve the performance and accuracy of existing models by monitoring them in production and iterating based on user feedback and new data.
- Ensure the scalability and reliability of AI systems by optimizing them for performance on cloud platforms such as AWS.
- Stay up to date with the latest research and trends in machine learning, deep learning, and AI.
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