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.

In search of a strong Data Scientist position on a long-term project of a large international company in the field of commercial and luxury residential real estate. 

Tasks:

• Analyze and process data. Identify anomalies, dependencies, trends, etc.;
• Collect and update analytical dashboards (Power BI, DataLens), visualize data and metrics;
• Formalize business objectives and generate hypotheses for research;
• Describe data warehousing change and optimization requirements;
• Select and optimize machine learning models to solve business problems;
• Present the results of your work and research.

We expect you to:

• Has been involved in analytics and Data Science for more than 3 years;
• Worked in a team, communicative and stress-resistant;
• want to understand data deeply and learn new things;
• worked with tasks from a business customer.

Skills:

• Are confident writing in Python and SQL;
• have good spreadsheet skills (excel, google);
• know how to apply ML in applied business tasks;
• know how to put forward analytical and product hypotheses, know how to organize and conduct experiments and interpret the results;
• know statistics;
• have experience with neural networks, generative machine learning models.

Level of Russian language: from B2.

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

The project - a platform for creating and publishing content on social media using artificial intelligence tools.

Responsibilities

- Implementation, and maintenance of automation tools that interact with the Instagram Graph API to enable actions such as posting, liking, following, and commenting, all while adhering to Instagram's usage policies.

Requirements

- Bachelor's or Master's degree in Computer Science, Software Engineering or related field.

- 3 years or more of software development experience with a focus on web applications and APIs.

- Proficiency in Python, a deep understanding of one or more of these languages, and the ability to write production code.

- Deep knowledge of Instagram Graph API, its features, limitations and best practices for interacting with it is an advantage.

- Experience building automation tools or bots for social media platforms, particularly Instagram, is highly desirable.

- Strong understanding of software design principles, data structures, algorithms and system architecture.

- Knowledge of version control systems (e.g. Git) and CI/CD pipelines.

- Ability to address potential risks associated with automation on the Instagram platform, ensuring a safe user experience.

- Passion for DS and keeping up to date with SotA Machine Learning algorithms and developments is a plus;

We are looking for a skilled and motivated Bioinformatician / Data Scientist to join a dynamic team. In this role, you will have the opportunity to work on a diverse range of projects, utilizing your expertise in bioinformatics and data science to tackle complex scientific challenges. As a key member of our team, you will contribute to the development and application of cutting-edge computational methods and algorithms, enabling our clients to gain valuable insights from their data.

Should be able to be present in person at Cambridge, USA office at least once week.

Responsibilities:

• Collaborate closely with clients to understand their specific research goals and design tailored bioinformatics and data analysis solutions.
• Collaborate with interdisciplinary teams of biologists, geneticists, and data scientists to develop and implement computational strategies for analyzing large-scale biological datasets.
• Develop and implement computational pipelines and workflows for processing and analyzing diverse biological data types, including genomics, transcriptomics, proteomics, and metabolomics.
• Participation in development, deployment and optimization of bioinformatic workflows pipelines for processing NGS data (single-cell and bulk RNA-seq). Interpret results from these workflows to generate insights.
• Perform statistical analysis and data mining to identify patterns, correlations, and biomarkers.
• Apply statistical modeling and machine learning techniques to identify patterns, correlations, and predictive models from large-scale datasets.
• Stay up-to-date with the latest advancements in bioinformatics and contribute to the continuous improvement of existing methodologies and algorithms.
• Present findings and results to internal teams and external stakeholders in a clear and concise manner.
• Deploy and optimize bioinformatic workflows for the integration and analysis of NGS data, including short and long read sequencing data. Interpret results from these workflows to generate insights.
• Perform quality control checks, align sample data to the reference genome, and produce variants called files (VCFs), and joint-genotyped VCF files.
• Conduct statistical and genomic analysis, develop custom algorithms.

What we expect:

• B.S. or M.S. level of relevant education with hands on experience (Computer Science, Bioinformatics etc) in NGS workflow development and analysis.
• Experience with GxP, Genedata Selector and NGS for Cell Therapy domains is a must.
• Solid understanding of bioinformatics concepts, algorithms, and tools.
• Proven experience in analyzing high-throughput genomic, transcriptomic, or proteomic data.
• Hands-on experience with creating single-cell and bulk RNA-seq data processing pipelines.
• Proficiency in pipeline development using Nextflow, Cromwell, or other popular framework.
• Experience with Python programming language. Proficiency in programming languages such as Python or R and experience with relevant bioinformatics software and tools.
• Solid knowledge of statistical analysis, machine learning, and data mining techniques.
• English level C1 or higher.

Nice to have:

• Experience in next-generation sequencing (NGS) data analysis and variant calling.
• Knowledge of structural bioinformatics and molecular modeling.
• Familiarity with cloud computing platforms and big data analysis frameworks.
• Experience with deploying pipelines to AWS.
• Familiarity with cloud computing platforms and big data analysis frameworks.
• Strong communication and interpersonal skills with the ability to effectively collaborate with cross-functional teams and communicate complex concepts to non-technical stakeholders.

The project - a platform for creating and publishing content on social media using artificial intelligence tools is looking for a  Data Science Team Leader with a focus on generative models (m/f).

Responsibilities:

— Study and transform data science prototypes.

— Research and implement appropriate ML algorithms and tools.

— Design machine learning systems.

— Develop machine learning applications according to requirements.

— Know the SOTA in the field of generative technologies and be able to reproduce key experiments.

— Develop prototypes based on generative models for multimodal content (text, images, video).

— Develop and implement a pipeline of product integration for successful prototypes.

— Manage a team of machine learners to plan, implement and support new technologic solutions.

— Understand how certain product features impact business results.

Requirements

— Previous experience efficiently conducting research and creating ad hoc generative prototypes.

— Previous experience in the management of RnD teams.

— A strong background in probability theory and statistics, data mining, and machine learning.

— Proficiency in Python and proven experience using popular ML packages (PyTorch, TensorFlow, huggingface,etc).

— Deliver your work to production as a stand-alone microservice.

— Be enthusiastic about DS and stay up to date with SotA Machine Learning algorithms and developments.

— Be eager to help your teammates, share your knowledge with them, and learn from them.

— Be able to write production code.

— Be open to receiving constructive feedback.

— Academic papers at major ML conferences is a plus.

— Experience as a CTO in a start-up is a plus.

A company that provides high quality software solutions and services that drive business efficiency and effectiveness is looking for a Field Service Engineer.

Responsibilities:

• Comprehend customer requirements and make appropriate recommendations. 

• Respond to customer inquiries and assist in troubleshooting and resolving challenges.

• Manage all onsite installation, repair, maintenance and test tasks.

• Document the functional and, sometimes, technical design of the system.

• Maintain a working log detailed all required system updates, as well as the date of completion. 

• Coordinate and setup training classes and train end users on best practices, maintaining consistency across users. 

• Improve existing programs by evaluating objectives and specifications, reviewing proposed changes and making recommendations.

• Manage all assigned projects to completion ensuring on-time delivery and meeting of budgetary demands.

Requirements:

• 6 months to 1 year of experience in electrical installations (Residential or Industrial) or Electrical Controls or Automation Systems for batching.

• 6 months to 1 year of experience in industrial automation system implementation for software.

• Curious mindset translating to key discovery skills (questioning & listening to understand) with the ability to identify problem areas (pain points). 

• Proficiency in machine automation, mechanics and electronics.

• Provide technical hardware instruction and assistance to customer representatives regarding installation, operation, and maintenance. 

• Strong verbal/written communication and documentation skills.

• Interpersonal skills.

Languages: Dutch / English (C1)

Location: Nederlands

Project: IT service provider for the life science and healthcare industry.

Responsibilities:

• Provision of new Azure Cloud resources and services via ARM templates (including Azure Policies and Azure Blueprints)
• Managing and supporting various environments in Microsoft Azure Cloud
• Configuring and managing the infrastructure deployed in Azure Cloud
• Developing and managing the CI/CD process in Azure DevOps for different types of applications and environments and automation of as many processes as possible
• Deploying and configuring Data Factory, Batch, Databricks, Data Lake, Azure Machine Learning
• Automating deployment of application code to different environments
• Designing and implementing build, deployment, and configuration management, testing implemented designs
• Managing and deploying custom scripts
• Providing advisory on technical aspects of installation, configuration, sizing, and scaling in Azure Cloud.

What we expect:

• Deep understanding of Azure Cloud, Azure DevOps/Pipelines
• Knowledge of ARM templates/Blueprints
• Experience with Kubernetes/Docker
• Knowledge of Azure Virtual Networks, App Services, PostgreSQL, Virtual machines, Data Factory, Batch, Functions (Serverless), Logic Apps
• Knowledge of Azure Monitor, Log Analytics, App Insights and ability to use them for monitoring and developer support (logs, traces, RCAs)
• Experience in creating infrastructure
• Upper-Intermediate English or higher.

Terms: we need specialists for 3-4 months with possible prolongation.

Requirements:

• Knowledge of Outlook authentication methods (e.g. OAuth / Graph API)
• Very good Data Engineering / Machine learning engineering skills
• Very good knowledge of Python
• Knowledge of the scikit learn stack
• Good Knowledge of Databricks
• Knowledge of Azure VMs
• Experience in DevOps way of working
• Excellent English language skills, German beneficial
• Analytical and structured thinking to solve complex inquiries
• Ability to work independently, result orientated and very proactively in an agile environment
• Capability of communicating and interacting effectively with product owners and development team in an international environment