• GPU (CUDA, OpenCL, DirectX, Shader language, ISA, GPU assembler)

Company published in 1997, was built from the ground up to specialize in new product development and R&D, tackling the most difficult problems in the tech sphere. Now company expanded to offer early-stage innovation and ideation plus digital transformation business consulting. Company's superpower is to deliver all of this under one roof on a global scale.

We are looking for a Senior or Lead Machine Learning/Signal Processing Engineer to spearhead the development of cutting-edge ML/DL models tailored for ultra low-power devices. You will play a key role in the end-to-end pipeline - from sensor data acquisition and signal processing to model optimization and deployment on microcontrollers. 

Key Responsibilities

• ML/DL Model Development 

• Design, implement, and optimize ML/DL models for ultra low-power devices, focusing on efficient use of limited resources. 

• Collaborate with firmware developers to integrate models into embedded systems. Signal Processing & Feature Extraction 

• Process and analyze sensor data (e.g., accelerometers, GPS) to extract meaningful features and insights. 

• Leverage advanced signal processing techniques and algorithms to improve data quality and model accuracy. Data Collection & Management.

• Curate and manage datasets, ensuring data quality and relevance for training and testing. 

• Oversee data collection processes, coordinate sensor setups, and validate incoming data for consistency and accuracy. Model Optimization.

• Implement and maintain model compression, quantization, and pruning techniques for microcontrollers. 

• Conduct performance analysis and benchmark models across different hardware platforms. 

Collaboration & Leadership 

• Work closely with firmware developers to ensure smooth model integration and real-time deployment. 

• Mentor junior engineers, provide technical guidance, and help shape the overall ML roadmap. 

Qualifications Education & Experience 

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field; PhD is a plus. 

• 5+ years of experience in designing and deploying ML/DL models, with a strong emphasis on signal processing. 

• Good level of English (both written and spoken), B2+.

Technical Skills 

• Proficiency in Python and at least one deep learning framework (e.g., TensorFlow, PyTorch). 

• Strong understanding of signal processing algorithms (Fourier transforms, filtering, denoising, feature extraction). 

• Experience with sensor data (accelerometers, GPS) and data collection pipelines. 

• Hands-on experience with embedded systems and microcontroller-based deployments. 

• Familiarity with model optimization techniques such as quantization, pruning, and knowledge distillation. 

• Comfortable with Git, CI/CD pipelines, and version control best practices.

Soft Skills 

• Excellent problem-solving skills and attention to detail. 

• Strong communication and collaboration abilities. 

• Ability to work effectively in a fast-paced, cross-functional environment. 

Nice to Have 

• Familiarity with C/C++ for embedded firmware development. 

• Experience with ultra low-power device constraints and power management techniques. 

• Prior contributions to open-source ML or signal processing projects. 

• Knowledge of hardware design and sensor fusion techniques.

• Location: Poland
• 100% remote work

The project, a platform for creating and publishing content on social media using artificial intelligence tools, is looking for a Lead Data Engineer.

Responsibilities:

- Design, develop, and maintain robust and scalable data pipelines for collecting.

processing, and storing data from diverse social media sources and user interactions.

- Design of data warehouse.

- Implement rigorous data quality checks and validation processes to uphold the integrity.

accuracy, and reliability of social media data used by our AI models.

- Automate Extract, Transform, Load (ETL) processes to streamline data ingestion and transformation, reducing manual intervention and enhancing efficiency.

- Continuously monitor and optimize data pipelines to improve speed, reliability, and scalability, ensuring seamless operation of our AI Assistant.

- Collaborate closely with Data Scientists, ML Engineers, and cross-functional teams to understand data requirements and provide the necessary data infrastructure for model development and training.

- Enforce data governance practices, guaranteeing data privacy, security, and compliance with relevant regulations, including GDPR, in the context of social media data.

- Establish performance benchmarks and implement monitoring solutions to identify and address bottlenecks or anomalies in the data pipeline.

- Collaborate with data analysts and business teams to design interactive dashboards that enable data-driven decision-making.

- Develop and support data marts and dashboards that provide real-time insights into social media data.

- Stay updated with emerging data technologies, tools, and frameworks, evaluating their potential to improve data engineering processes.

Qualifications:

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

- Proven experience in data engineering, focusing on ETL processes, data pipeline development, and data quality assurance.

- Strong proficiency in programming languages such as Python, SQL and knowledge of data engineering libraries and frameworks.

- Experience with cloud-based data storage and processing solutions, such as AWS, Azure, or Google Cloud.

- Familiarity with DataOps principles and Agile methodologies.

- Excellent problem-solving skills and the ability to work collaboratively in a cross-functional team.

- Strong communication skills to convey technical concepts to non-technical stakeholders.

- Knowledge of data governance and data privacy regulations is a plus.

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

Responsibilities:

• Managing a distributed team of DevOps engineers and streams within the project
• Participating in customer meetings, setting objectives, and responding to inquiries
• Advising on technical aspects of installation, configuration, sizing, and scaling in Azure Cloud
• Providing new Azure Cloud resources and services via Terraform and/or Azure 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, environments, and automation processes
• Deploying and configuring various data pipelines based on Data Factory, Azure Batch, and Azure Databricks
• Automating deployment of application code to different environments
• Managing build assembly, deployment, and configuration, testing implemented solutions.
• Managing and deploying custom scripts.

What we expect:

• Deep understanding of Azure Cloud, Azure DevOps/Pipelines
• Effective team management skills
• Strong customer negotiation skills
• Good knowledge of Terraform and/or Azure ARM templates/Blueprints
• Solid 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, Security Center, Log Analytics, and App Insights and ability to use them for system monitoring and developer support (logs, traces, RCAs)
• Experience in creating infrastructure (planning, scaling, monitoring)
• Upper-Intermediate English or higher.

Objectives: 

• Build end-to-end LiDAR based hardware and software solutions for the physical security market that are easy to install and easy to use when compared to typical camera-based solutions and video management solutions.
• Develop a modern, efficient regression testing process to test the entire SW stack.
• Estimate a challenge, рrepare a task pool for the team.
• Manage the work of the testing team. 

The skill-set required:

• Experience in the physical security market (QA/Dev for a VMS provider, Access Control provider, Camera manufacturer, Integration Solutions Provider).
• Experience in testing/developing solutions for Linux, Windows, Web-Based platforms.
• For Windows in particular, experience in .NET/C#.
• Experience with virtual environments, containers (VMWare, Docker, etc.)

Who we are looking for Server software expert (Java 11+, Spring Boot, Maven / Gradle, Junit, Mockito, SQL / ORM)

Certain responsibilities that involve development and deployment of strategic products

5 reasons why you would like to work with us

1. Fintech

Unique domain area that contains lots of interesting tasks.

Real Highload - estimated number of unique users per day is expected to be 5 million people.

Increased requirements for security and fault tolerance of the solution.

We are creating a payment method which means that the Platform we are creating must be available 24/7/365.

At the same time, we are constantly testing new product hypotheses, so we are focused on the "purity" of the solutions created and the internal quality of the code.

2. Real product development

We are developing a product that is very important in daily life of people.

You can tell your mom what you're working on, and she'll not only understand you, but she'll be happy that you're solving real problems of real people.

Each sprint we fulfill a business goal - we actively test business hypotheses.

What you do today will be sold tomorrow by a sales specialist, you will be fully integrated with the business team.

You can influence the product and we need such proactive people. We have a flat structure and open communication.

3. We develop – we launch.

We are engaged not only in development, but also in operation.

We build and develop a mature DevOps process; system engineers are part of our development team.

You will develop the ability to think about how your solution will behave in operation.

4. Mature Scrum process, no “inventing the wheel”

We work with Scrum; we scale Scrum with LeSS.

This means we work in small, long-lived product feature teams.

You will work hand-in-hand with colleagues from other disciplines to get the job delivered.

We practice swarming - we are constantly communicate online with other team members.

Participation in our teams involves T-shaping, you can painlessly and comfortably master related specialties.

You won't be left alone with process issues - we have one scrum master for every three teams.

You will influence the effectiveness of the team, avoiding unnecessary losses, influence the process as a whole.

5. A real startup with all it entails

A unique experience that will be useful to you in the future if you are going to create your own startup.

We go through all phases of development, from finding early followers to launching marketing campaigns.

This is a startup, not an enterprise - minimum bureaucracy, open communications, a culture of errors and security.

International multicultural mature team with average team member age of 30.

How about building together an alternative financial ecosystem in one single country with the potential to scale into Asian markets?

Would you like to digitize oriental bazaars with us?

We are creating a new payment method, an alternative to cash and plastic cards, with our own unique set of financial instruments aimed at ordinary people.

We are looking for

A person who can take responsibility for the quality of the backend code and the efficiency of the backend developers.

A backend development expert (Java 11+, Event Driven Microservices on Spring's stack).

Experience, Competencies and Skills Required

• Participation in the design of platform components, audit of design solutions offered by other developers
• Selection of technologies and tools for development and operation, we profess the “you code it you run it” approach
• Expert leadership of the backend developer community - coaching, implementation of effective development practices, facilitation, design sessions
• Development of code conventions and responsibility for their implementation by the community of backend developers
• Identification of problems and wastes in the work of backend developers
• Collaboration with the Scrum Master service to improve current processes and practices
• Of course, you will write code, both purely technological parts of the system and product features.