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Специализация
Data Scientist & Machine Learning / Python / Data Engineer
Stack
LinuxSQL/Spark/pandas/NumPyPython
We are looking for a Senior ML Infrastructure Engineer to join a leading high-frequency trading (HFT) company in Moscow. The role involves working on high-load systems, building and optimizing infrastructure for ML models, and collaborating with a team of experienced engineers and researchers.
Responsibilities
- Developing a library for executing task graphs on the cluster, with a focus on enhancing the user experience with writing, maintaining, and debugging these graphs.
- Improving the user experience in data analytics and dataset creation.
- Building datasets from the company’s data.
- Working on dataset creation speed, for example, by optimizing Pandas/Polars/Spark queries.
- Working closely with quantitative researchers to improve the realism of simulation and user experience.
- Building a library for working with the company’s data.
- Optimizing storage formats and data retrieval methods.
- Creating user-friendly interfaces for feature and target engineering.
- Automating the generation and updating of datasets with new features and data.
- Optimizing execution time.
- Supporting the Python simulator.
Requirements
- At least 3 years of professional experience as a Python/C++/ML Engineer.
- Proficiency in Python.
- Experience in SQL/Spark/pandas/NumPy.
- Strong expertise in databases, data pipelines, and service development.
- Experience contributing to projects with complex architecture.
- Linux expertise.
- Expertise in algorithms and data structures.
- Ability to work in a fast-paced environment and efficiently multi-task.
- Ability to communicate effectively within your team and with other teams.
Would be great if you had this
- Experience in developing high load services.
- Experience in PyTorch/Jax.
- Competency in Go/C++.
- Understanding of operating systems, networks, and performance optimization.
- Any experience in competitive programming contests (IOI, ICPC, hashcode) or CTFs.
What we offer
- Competitive compensation above the market with bonuses twice a year up to 50% of annual salary.
- Sophisticated internal training and development programs.
- Comprehensive health insurance.
- Reimbursement for sports activities.
- Engaging in corporate events twice a year.
- High level of influence and ownership of the process.
- Work closely with experienced team in a flat organizational structure.