Product Manager (NLP)

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Requirements:

• Experience as an NLP Engineer in the past or present.
• Ability to fine-tune open LLMs, with experience in leading a team that does.
• Practical experience with basic NLP concepts such as ngrams, skip-grams, and tf-idf.
• Experience in developing components for dialogue systems, either directly or by leading a team.
• Experience managing an ML team.
• Understanding of mathematical algorithms for machine learning and criteria for model performance evaluation.
• Practical experience in developing and deploying microservices.
• Proficiency in Python and machine learning libraries like Scikit-learn, Pandas, Matplotlib, Numpy, and Scipy.
• Knowledge of the PyTorch Deep Learning framework.
• Confident use of Linux/Unix and version control systems like git.
• Ability to independently build a pipeline.
• Understanding of ONNX.
• Experience with SQL/NoSQL databases.
• Experience fine-tuning GPT-like models and working with technologies such as GloVe, ELMo, RNN, CNN, Transformer, BERT.
• Experience with virtualization technologies like Docker and tools like deepspeed/Jax.
• Courses like ODS, MIPT+Huawei will be an advantage.

Responsibilities:

• Manage a team of ML engineers and improve the architecture of ML services to achieve business goals.
• Develop and implement a strategy for the NLP direction.
• Break down business tasks into sub-tasks and determine necessary resources for execution.
• Lead and oversee the creation and integration of ML models into the overall system.
• Test and evaluate the created solutions.
• Optimize model training and improve automated testing.
• Collect and prepare data needed for model training.