Requirements:1+ year of experience in ML / data science / applied AIProficient in Python and libraries (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow)Process knowledge: data collection > preprocessing > training > validation > productionExperience with cloud platforms (AWS/GCP/Azure) for training and deploying modelsUnderstanding how MLOps practices (MLflow, Docker, CI/CD, Kubernetes) work - a plusMust have experience in one or in several areas: NLP, computer vision, time-series, recommender s
Requirements:
- 1+ year of experience in ML / data science / applied AI
- Proficient in Python and libraries (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow)
- Process knowledge: data collection > preprocessing > training > validation > production
- Experience with cloud platforms (AWS/GCP/Azure) for training and deploying models
- Understanding how MLOps practices (MLflow, Docker, CI/CD, Kubernetes) work - a plus
- Must have experience in one or in several areas: NLP, computer vision, time-series, recommender systems
- Analytical thinking and the ability to solve complex technical problems
Responsibilities:
- Development, training and implementation of ML and DL models
- Preparation and processing of large datasets, construction of data pipelines
- Cooperation with developers, analysts and product teams to implement models into the product
- Exploration of new approaches: testing, experiments, A/B, fine-tuning
- Optimization of models for performance, accuracy, speed
- Architecture documentation, experiments and solutions
Working conditions:
- Work schedule Mon-Fri from 09:00 to 18:00 (office),
- Timely payment of wages pay,
- Work in an innovative company,
- Modern office.
If you are interested in our vacancy, please send your resume, we will talk in more detail.