Available Offers for Python

ML Engineer (Researcher)

Full-time
Remotely

ML Engineer (Researcher) is required for a security building solutions company. 


Projects:

Development of a web service designed to help sales managers increase sales by providing prompts (to the manager) or directly answering the customer via a bot in messenger on requested products. Working with LMM, it is to investigate and select a model and build a web service interaction pipeline.

The project is aimed at unifying the investigation of various incidents (e.g. shoplifting, product fights, etc.). The project includes recording of the incident, its description, preparation of statistics and recommendations on elimination of possible incidents in the future according to a standard template. The project is on the border of CV and LMM, a series of studies to determine the optimal solution to the problem, to develop a pipeline of work with the model.

Left Behind Detector. Search for abandoned/suspicious items and notify SB of the event. The project is on the border of CV and LMM, a series of studies to determine the optimal solution to the problem, develop a pipeline of work with the model.

Free search in archives of surveillance videos. For example "find a video of two people fighting". It is to make a series of researches to determine the optimal solution to the problem, develop a pipeline of work with the model.


Requirements:

Deep knowledge of matimatics;

Experience in CV development;

Experience in developing NLP systems;

Experience in implementing LLM use cases;

Experience implementing approaches from scientific publications;

Python;

Linux, git flow;

Experience with data collection and partitioning tasks;

Experience developing and maintaining prototypes of business solutions;

Experience in implementing various solutions in CV and NLP (object detection / recognition, tracking, LLM, model optimization);

Understanding of how to optimize the speed of prototypes and inference models.

There is a knowledge of English at the level of reading articles;


Would be a plus:

Knowledge of Machine Learning/Deep Learning;

Experience with opensource LLM models;

Experience in publishing articles at a university.


Format: remote work, flexible schedule.

Time zone: GMT+3.

Robotics Perception Engineer

Office
Full-time

Company and project

The company operates with the vision to be the leader in making robots more accessible to anyone, wilt the leading role of the pick-assist market in Japan.

With the recent launch of the company, a product the specialist will be closely working on, is redefined Autonomous Storage and Retrieval Systems, blending top-tier performance with unmatched adaptability. With state-of-the-art technology on multi-robot systems, a strong customer base and the financial backing from industry titans like Goldman Sachs, Sony, they invite a strong specialist to join the team in sculpting the future of robotics.


Responsibilities

  • Design and implement perception features for warehouse robots
  • Work closely with the hardware team to choose the best sensors and compute for our robots
  • Develop proof of concepts to demonstrate the value added by robotic perception to customers
  • Work with the team to integrate perception features with the rest of the robotics software stack


Requirements

  • Strong background in classical computer vision
  • Strong background in robotics software engineering, specifically ROS
  • Python and C++ programming skills
  • Background in Machine Learning for computer vision
  • Demonstrable experience in developing real world computer vision applications
  • Solid understanding of algorithms and data structures
  • Strong analytical and debugging skills
  • Ability to build and deliver hands-on technology, proof of concepts, and demonstrations
  • At least 2 years of relevant work experience
  • Experience developing in a Linux/Unix environment


Preferred skills

  • Able to pick up new technologies on the fly
  • Basic familiarity with game engines is a plus
  • Willingness to look beyond just perception components and analyse the entire system and suggest improvements
  • Good communication skills, able to present their work to non-technical audiences