Jobs at Djinni

We are looking for an HTML5 Game Developer to build on-chain games (lottery, roulette, instant games) for a Web3 platform.

Responsibilities

• Develop game scenes using PixiJS (Canvas / WebGL)
• Implement spinners / roulettes with deterministic outcomes (exact stop by index)
• Integrate real-time data from smart contracts
• Embed game scenes into a React application (canvas-based components)
• Optimize performance for desktop and mobile (stable FPS)
   

Requirements

• Strong experience in HTML5 game development (not just frontend UI)
• Solid knowledge of PixiJS (Phaser experience is a plus)
• Understanding of game loops, easing, timing, and animations
• Experience with Canvas / WebGL
• Ability to implement precise, math-based animations (no “visual guessing”)
   

Web3 Experience (Required)

• Experience reading data from smart contracts
• Familiarity with ethers.js / wagmi / web3.js
• Understanding of contract events and real-time updates
• Experience integrating blockchain data into games or interactive UIs
   

Not a Fit If

• Your main background is React animations (GSAP / Framer Motion)
• You have no experience with Canvas-based games
• You rely on visual tweaks instead of deterministic logic
   

Nice to Have

• Experience with casino games, slots, roulettes, case openers
• Mobile performance optimization experience
• Knowledge of Pixi containers, batching, textures

About the Project

We’re building a modern SaaS platform for US-based home medical equipment (HME) providers and hospitals.
The product helps teams manage daily operations — from appointment scheduling and invoicing to documentation and medical deliveries — all in one place.
You’ll join a long-term initiative focused on improving healthcare workflows, efficiency, and patient service delivery.

Does this relate to you?

 - 6+ years of experience in backend software development with a strong focus on REST API design and implementation.
- Proven experience with .NET Core technologies (C#, ASP.NET Core Web API).
- Solid knowledge of microservices architecture and inter-service communication.
- Proficiency with MySQL and/or PostgreSQL databases; experience writing optimized queries, Dapper, DDD.
- Understanding of OOP, OOD, SOLID, and common design patterns.
- Experience with API documentation and testing tools (Swagger, Postman).
- Knowledge of authentication, authorization, and API security best practices.
- Experience with the full SDLC and agile methodologies (Kanban/Scrum).
- English level: Upper-Intermediate or higher.

Nice to Have:
- Experience with Docker and Kubernetes.
- Familiarity with AWS service.

- 6 months of experience with AI feature development and integration.
- Experience building high-load or healthcare-related APIs.

A new team member will be in charge of:

- Design, develop, and maintain RESTful APIs and backend microservices using .NET Core (.NET 6.0 / 8.0 / 3.1).
- Build efficient and reusable API endpoints, focusing on scalability, performance, and security.
- Collaborate with frontend, mobile, and DevOps teams to ensure smooth API integration and deployment.
- Create and maintain API documentation using tools like Swagger / OpenAPI.
- Optimize existing endpoints and database queries for better response times.
- Implement API versioning, request validation, and error handling standards.
- Ensure API security through authentication and authorization mechanisms (JWT, OAuth2).
- Participate in code reviews and contribute to improving coding standards and best practices.
- Support continuous integration and delivery (CI/CD) processes for API deployment

💬 Want to work on something that truly matters?

Send your CV — we’d love to hear from you.

We are looking for a junior backend VLSI engineer to join our Physical Design team.

This role is ideal for new graduates with strong academic foundations in digital design and VLSI who want to learn and execute a full RTL→GDSII implementation flow using Synopsys tools.

You will gain hands-on experience working on advanced semiconductor technologies, including nodes down to 7 nm, 5 nm, 3 nm, and 2 nm.

Responsibilities:

Assist in synthesis (Design Compiler / Fusion Compiler) from RTL to gate-level netlist

Support floorplanning, power planning, and clock tree design

Perform place and route (P&R) using ICC2 / Fusion Compiler

Contribute to timing analysis and closure using PrimeTime (STA)

Run physical verification checks: DRC, LVS, antenna, IR-drop, EM

Prepare and validate design constraints (SDC, clock definitions, I/O timing)

Help generate and validate physical deliverables (LEF/DEF, SPEF, SDF)

Collaborate with RTL, DFT, package, verification, and integration teams

Document design steps, results, and signoff data

Required Qualifications:

B.Sc. or M.Sc. in Electrical Engineering, Computer Engineering, or related field

Strong understanding of digital logic, synchronous design, and timing fundamentals

Academic exposure to VLSI backend flows

Basic familiarity with: synthesis, place & route, STA

Scripting skills (TCL, Python, Shell)

Strong analytical and problem-solving mindset

Motivation to learn deep-submicron implementation techniques (FinFET and GAA nodes)

Nice-to-Have Skills

Exposure to Synopsys tools (DC, ICC2, PT) through coursework or projects

Understanding of setup/hold timing, OCV, derates, clock uncertainty

Basic knowledge of physical effects: congestion, crosstalk, IR-drop, EM

Linux environment experience

Familiarity with Git or similar tools

What We Offer:

Hands-on work on advanced semiconductor nodes down to 2 nm

Full training in modern RTL→GDSII physical design flows

Mentorship from senior PD and STA engineers

Opportunity to work on high-performance ASICs and SoC designs

Clear growth path toward P&R specialist, STA engineer, PD lead, or chip integration engineer

Requirements:

• Proficiency with React and TypeScript for frontend development
• Strong backend development experience with Python and PostgreSQL, including schema design and migrations (SQLAlchemy + Alembic)
• Hands-on experience working with Apache Airflow, including DAG's and backend integrations
• Build and maintain infrastructure using Terraform, Kubernetes and Helm
• Experience deploying and operating services on Kubernetes, including maintaining Helm charts
• Ability to work highly autonomously, proactively clarify requirements and driving work forward with minimal supervision
• Strong communication skills and experience working in distributed teams

Nice-to-Have:

• Familiarity with FastAPI
• Experience with Bazel build system (training can be provided)
• Experience with CI/CD pipelines
• Prior experience in environments with limited product management and high ownership

Key Responsibilities:

• Design, build and deliver full-stack features using Python, PostgreSQL, React and TypeScript
• Take ownership of features from initial, sometimes ambiguous ideas to production, including:
• clarifying requirements and assumptions
• technical design
• implementation
• testing, deployment and monitoring
• Design and maintain integration-heavy backend services, collaborating with other teams and consuming internal API's
• Work closely with Apache Airflow pipelines (seamless integration with backend services)
• Design and implement scalable backend systems using PostgreSQL
• Proactively identify risks, dependencies and gaps in requirements, and drive solutions independently
• Build and maintain infrastructure using Terraform, Kubernetes, and Helm
• Collaborate with team members in regular syncs to discuss progress, blockers and demos
• Participate in code reviews, design discussions and cross-team technical coordination

About the Project:

We’re hiring a Full-Stack Software Engineer (Python + React) to join a fast-paced, highly autonomous team. This role is ideal for an engineer who is comfortable working across the stack, passionate about writing clean and scalable code, and capable of driving features end-to-end - from design to infrastructure provisioning to production monitoring.

Engineers are trusted to make decisions, ask the right questions and deliver production-ready solutions. The work spans backend services, Airflow-driven workflows, infrastructure and frontend with a strong emphasis on building reliable, well-integrated systems that scale.

You will work closely with cross-functional teams to build new features from scratch.

Waites Inc. — is the product company that develops a system of condition control, preventive monitoring and vibrating equipment diagnostics. We provide a complete cycle of product development, from designing and manufacturing our own sensors, data modules, gateways, and our radio protocol to processing billions of incoming telemetry data, machine learning, web mapping systems, analytics systems, and mobile applications.Our systems help customers identify equipment malfunctions long before they fail, and plan repairs or replacements without loss.

We are looking for a Junior Project Manager to join our team and support the delivery of initiatives by optimizing internal processes and ensuring smooth execution across stakeholders. This role focuses on operational coordination, process management, and delivery oversight, ensuring projects are delivered on time, within scope, and to quality standards. The successful candidate will work closely with our Product Owner and development teams to transform strategic vision into tactical execution.

Required Qualifications

• 2-5 years of project management experience, preferably in technology or data analytics environments
• Experience with Agile methodologies
• Strong analytical and problem-solving skills
• Excellent communication and stakeholder management abilities
• Experience working with cross-functional teams including developers, data scientists, and business stakeholders

Key Responsibilities Project Management

• Plan, execute, and monitor software projects from initiation to closure
• Develop project schedules, budgets, and resource allocation plans
• Identify and mitigate project risks and issues
• Ensure projects are delivered on time, within scope, and budget
• Facilitate sprint ceremonies (planning, review, retrospective, daily stand‑ups).
• Maintain Jira boards, burn down charts, and delivery metrics.
• Own the RAID log; escalate issues and blockers promptly.
• Produce weekly status reports and contribute to PMO dashboards.
• Coordinate cross‑team dependencies and release readiness tasks.
• Champion process compliance (Definition of Ready/Done, workflow gates).
• Drive continuous improvement actions from retrospectives.

Stakeholder Management

• Coordinate with Product Owner and Product Manager on product requirements and priorities
• Facilitate communication between technical teams and business stakeholders
• Conduct regular project status meetings and provide progress reports
• Manage expectations and resolve conflicts

Process Improvement

• Maintain PMO standards and best practices
• Contribute to the continuous improvement of project management processes
• Support the team in adopting new methodologies and tools

Performance Metrics

Success in this role will be measured by:

• On-time delivery rate and sprint goal achievement
• Team velocity and delivery predictability
• Adherence to PMO standards and quality gates
• Quality of project documentation and reporting
• Issue resolution time and risk mitigation effectiveness
• Stakeholder satisfaction and communication quality
• Contribution to team efficiency and process improvements
• Stakeholder satisfaction score

Our benefits

Work from the comfort of your home 
Enjoy 24 annual vacation days and unlimited sick leave, all covered by the company
Have fun with our online events and team-building activities

Headway Inc is a global tech company, revolutionizing lifelong learning by creating digital products for over 150 million users worldwide. Our mission is to help people grow. We’re proud to be ranked 4th among the World’s Top EdTech Сompanies by TIME magazine. We believe lifelong learning should be accessible, personalized, and impactful to each individual. That’s how we change the world and why we bring together exceptional minds.

The core of our achievements is our team. We believe in people and shared values SELECT. That’s why, together with Ivan Makaruk, Product Manager at Skillsta by Headway Inc, we’re looking for a Product Analyst to join our team of superstars transforming the EdTech industry.

What product will you be working on?

Skillsta is an app that helps users worldwide improve their social skills through short interactive lessons based on real-life situations. The app ranked among the top 20 in the Education category on the US App Store.

You're definitely a fit for us if you want to:

• Shape and grow a brand-new EdTech product, solving real user challenges, driving innovation, and uncovering new growth directions with a passionate team.
• Collaborate within a dynamic cross-functional team where your insights, ideas, and decisions truly influence the product and the business.
• Be a part of the culture that embraces change and encourages fresh thinking.
• Have full ownership of key product initiatives and the freedom to test bold hypotheses directly on real users.
• Learn through knowledge exchange with talented analysts and experts across our teams and products.

What you'll be doing:

• Own the complete A/B testing cycle — from hypothesis generation and test design to dashboards, insights, and learnings that fuel the next iteration.
• Uncover growth opportunities by diving deep into data and turning insights into meaningful business impact.
• Co-create and implement ideas with the team that align with our product vision and drive measurable results.
• Analyse markets and competitors to discover new angles and opportunities for growth.
• Explore user behavior and content interactions to shape data-informed decisions.
• Clearly communicate findings and recommendations that move the business forward.
• Continuously learn, experiment, and apply cutting-edge tools and practices to stay ahead of the curve.

We're looking for you if you have:

• 1+ years of experience as a Product, Data, or Marketing Analyst.
• Solid understanding of mathematics and statistics.
• Hands-on experience working with databases (SQL).
• Experience with A/B testing or a strong grasp of its core principles.
• Understanding of product metrics and how they’re connected.
• Experience with data visualisation tools (e.g., Tableau, Looker, Power BI, etc).
• Embrace team values and thrive in a collaborative environment (SELECT).

What do we offer:

• Work within an ambitious team on a socially impactful education product.
• An office with a reliable shelter, generators, satellite internet, and other amenities.
• Access to our corporate knowledge base and professional communities.
• Personal development plan.
• Compensation for English language learning, external training, and courses.
• Medical insurance and full sick leave compensation.
• Company doctor and massage in the office.
• Sports activities: running, yoga, boxing, and more.
• Corporate holidays: we go n a week-paid holiday to rest and recharge twice a year.
• Supporting initiatives that help Ukraine. Find out more about our projects here.

Working schedule

This is a full-time position with a hybrid remote option. It means that you can decide for yourself: whether you want to work from the office, remotely, or combine these options.

Are you interested?
Send your CV!

REQUIREMENTS

• Higher technical education (Computer Engineering or related field)
• Proven experience in engineering management or technical leadership
• Deep understanding of software development processes
• Hands-on experience with C++, Linux, and single-board computers (ARM)
• Experience with Scrum, Jira, Git
• Strong strategic and analytical thinking

NICE TO HAVE

• Experience in Automotive projects
• Background in product companies or startups
• Strong hands-on expertise with C++
• Understanding of full-cycle technology product development — from concept to release
• Experience with custom hardware development

RESPONSIBILITIES

• Lead the product development process (Scrum)
• Coordinate work across teams and different product areas
• Ensure quality, timelines, and efficiency of technical solutions
• Develop and mentor engineering teams, supporting their professional growth
• Shape the product vision and technical strategy
• Drive communication between engineering, product management, and other departments

WHAT YOU WILL GET

• Challenging tasks
• Competence development
• Ability to influence project technologies
• Team of professionals
• Dynamic environment with low level of bureaucracy

About the Role:

We are looking for a firmware engineer who really knows how to work with modern hardware (ESP32-S3, PICAD-compatible boards) and Zephyr OS. The main task is to write stable, production-ready code for IoT devices of the "data logger / gateway" level: sensors, Modbus, LTE/Wi-Fi, OTA, local logic, energy saving.

No academic R&D — you need a person who quickly makes a working product.

Responsibilities:

• Development of firmware for Zephyr OS for ESP32-S3 / ESP32-C6;
• Work with PICAD-compatible peripherals (sensors, interfaces, IO);
• Implementation of protocols: Modbus RTU/TCP, UART, RS-485, SPI, I2C;
• Network stack settings: Wi-Fi, LTE (via external modules), MQTT;
• OTA updates (MCUboot, Zephyr samples, custom schematics);
• Data buffering, local storage, fallback modes;
• Integration with backend API (REST/MQTT), queue/telemetry processing;
• Optimization of power consumption and performance;
• Writing unit-/integration-tests, working with hardware-bring-up.

Requirements:

• Deep experience in C/C++ firmware development;
• Commercial experience with Zephyr RTOS is required (device tree, Kconfig, drivers, subsystems);
• Practical experience with ESP32-S3 / ESP32-C3 / ESP32-C6;
• Understanding of MCUboot, partition layout, OTA-pipeline;
• Ability to work with peripherals: UART, SPI, I2C, PWM, ADC, RS-485;
• Experience with Modbus (master/slave), preferably with real devices;
• Debug experience: JTAG, OpenOCD, logic analyzer;
• Git, CI/CD, the ability to work in a normal product, and not "flash firmware".

Nice to have:

• BLE (Zephyr BT stack);
• Python for tooling (scripts, tests, production tools).

We Offer:

• Work on a real IoT product (energy logger / gateway), which is already in production;
• Opportunity for professional growth and career development;
• Vacation — 18 working days per year;
• Friendly working environment;
• Sick leave — 5 working days (without documents);
• Health insurance.

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.

About the client:
Our client is an IT company that develops technological solutions and products to help companies reach their full potential and meet the needs of their users. The team comprises over 600 specialists in IT and Digital, with solid expertise in various technology stacks necessary for creating complex solutions.

About the role:
We are looking for a Data Engineer (NLP-Focused) to build and optimize the data pipelines that fuel the Ukrainian LLM and NLP initiatives. In this role, you will design robust ETL/ELT processes to collect, process, and manage large-scale text and metadata, enabling the Data Scientists and ML Engineers to develop cutting-edge language models.

You will work at the intersection of data engineering and machine learning, ensuring that the datasets and infrastructure are reliable, scalable, and tailored to the needs of training and evaluating NLP models in a Ukrainian language context.

Requirements:
- Education & Experience: 3+ years of experience as a Data Engineer or in a similar role, building data-intensive pipelines or platforms. A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field is preferred. Experience supporting machine learning or analytics teams with data pipelines is a strong advantage.
- NLP Domain Experience: Prior experience handling linguistic data or supporting NLP projects (e.g., text normalization, handling different encodings, tokenization strategies). Knowledge of Ukrainian text sources and data sets, or experience with multilingual data processing, can be an advantage given the project’s focus.
Understanding of FineWeb2 or a similar processing pipeline approach.
- Data Pipeline Expertise: Hands-on experience designing ETL/ELT processes, including extracting data from various sources, using transformation tools, and loading into storage systems. Proficiency with orchestration frameworks like Apache Airflow for scheduling workflows. Familiarity with building pipelines for unstructured data (text, logs) as well as structured data.
- Programming & Scripting: Strong programming skills in Python for data manipulation and pipeline development. Experience with NLP packages (spaCy, NLTK, langdetect, fasttext, etc.). Experience with SQL for querying and transforming data in relational databases. Knowledge of Bash or other scripting for automation tasks. Writing clean, maintainable code and using version control (Git) for collaborative development.
- Databases & Storage: Experience working with relational databases (e.g., PostgreSQL, MySQL), including schema design and query optimization. Familiarity with NoSQL or document stores (e.g., MongoDB) and big data technologies (HDFS, Hive, Spark) for large-scale data is a plus. Understanding of or experience with vector databases (e.g., Pinecone, FAISS) is beneficial, as the NLP applications may require embedding storage and fast similarity search.
- Cloud Infrastructure: Practical experience with cloud platforms (AWS, GCP, or Azure) for data storage and processing. Ability to set up services such as S3/Cloud Storage, data warehouses (e.g., BigQuery, Redshift), and use cloud-based ETL tools or serverless functions. Understanding of infrastructure-as-code (Terraform, CloudFormation) to manage resources is a plus.
- Data Quality & Monitoring: Knowledge of data quality assurance practices. Experience implementing monitoring for data pipelines (logs, alerts) and using CI/CD tools to automate pipeline deployment and testing. An analytical mindset to troubleshoot data discrepancies and optimize performance bottlenecks.
- Collaboration & Domain Knowledge: Ability to work closely with data scientists and understand the requirements of machine learning projects. Basic understanding of NLP concepts and the data needs for training language models, so you can anticipate and accommodate the specific forms of text data and preprocessing they require. Good communication skills to document data workflows and to coordinate with team members across different functions.

Nice to have:
- Advanced Tools & Frameworks: Experience with distributed data processing frameworks (such as Apache Spark or Databricks) for large-scale data transformation, and with message streaming systems (Kafka, Pub/Sub) for real-time data pipelines. Familiarity with data serialization formats (JSON, Parquet) and handling of large text corpora.
- Web Scraping Expertise: Deep experience in web scraping, using tools like Scrapy, Selenium, or Beautiful Soup, and handling anti-scraping challenges (rotating proxies, rate limiting). Ability to parse and clean raw text data from HTML, PDFs, or scanned documents.
- CI/CD & DevOps: Knowledge of setting up CI/CD pipelines for data engineering (using GitHub Actions, Jenkins, or GitLab CI) to test and deploy changes to data workflows. Experience with containerization (Docker) to package data jobs and with Kubernetes for scaling them is a plus.
- Big Data & Analytics: Experience with analytics platforms and BI tools (e.g., Tableau, Looker) used to examine the data prepared by the pipelines. Understanding of how to create and manage data warehouses or data marts for analytical consumption.
- Problem-Solving: Demonstrated ability to work independently in solving complex data engineering problems, optimizing existing pipelines, and implementing new ones under time constraints. A proactive attitude to explore new data tools or techniques that could improve the workflows.

Responsibilities:
- Design, develop, and maintain ETL/ELT pipelines for gathering, transforming, and storing large volumes of text data and related information.
- Ensure pipelines are efficient and can handle data from diverse sources (e.g., web crawls, public datasets, internal databases) while maintaining data integrity.
- Implement web scraping and data collection services to automate the ingestion of text and linguistic data from the web and other external sources. This includes writing crawlers or using APIs to continuously collect data relevant to the language modeling efforts.
- Implementation of NLP/LLM-specific data processing: cleaning and normalization of text, like filtering of toxic content, de-duplication, de-noising, detection, and deletion of personal data.
- Formation of specific SFT/RLHF datasets from existing data, including data augmentation/labeling with LLM as teacher.
- Set up and manage cloud-based data infrastructure for the project. Configure and maintain data storage solutions (data lakes, warehouses) and processing frameworks (e.g., distributed compute on AWS/GCP/Azure) that can scale with growing data needs.
- Automate data processing workflows and ensure their scalability and reliability.
- Use workflow orchestration tools like Apache Airflow to schedule and monitor data pipelines, enabling continuous and repeatable model training and evaluation cycles.
- Maintain and optimize analytical databases and data access layers for both ad-hoc analysis and model training needs.
- Work with relational databases (e.g., PostgreSQL) and other storage systems to ensure fast query performance and well-structured data schemas.
- Collaborate with Data Scientists and NLP Engineers to build data features and datasets for machine learning models.
- Provide data subsets, aggregations, or preprocessing as needed for tasks such as language model training, embedding generation, and evaluation.
- Implement data quality checks, monitoring, and alerting. Develop scripts or use tools to validate data completeness and correctness (e.g., ensuring no critical data gaps or anomalies in the text corpora), and promptly address any pipeline failures or data issues. Implement data version control.
- Manage data security, access, and compliance.
- Control permissions to datasets and ensure adherence to data privacy policies and security standards, especially when dealing with user data or proprietary text sources.

The company offers:
- Competitive salary.
- Equity options in a fast-growing AI company.
- Remote-friendly work culture.
- Opportunity to shape a product at the intersection of AI and human productivity.
- Work with a passionate, senior team building cutting-edge tech for real-world business use.

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.
 

About the client:
Our client is an IT company that develops technological solutions and products to help companies reach their full potential and meet the needs of their users. The team comprises over 600 specialists in IT and Digital, with solid expertise in various technology stacks necessary for creating complex solutions.
 

About the role:
We are looking for an experienced Senior Data Scientist / NLP Lead to spearhead the development of cutting-edge natural language processing solutions for the Ukrainian LLM project. You will lead the NLP team in designing, implementing, and deploying large-scale language models and NLP algorithms that power the products.

This role is critical to the mission of advancing AI in the Ukrainian language context, and offers the opportunity to drive technical decisions, mentor a team of data scientists, and shape the future of AI capabilities in Ukraine.
 

Requirements:
Education & Experience:
- 5+ years of experience in data science or machine learning, with a strong focus on NLP.
- Proven track record of developing and deploying NLP or ML models at scale in production environments.
- An advanced degree (Master’s or PhD) in Computer Science, Computational Linguistics, Machine Learning, or a related field is highly preferred.

NLP Expertise:
- Deep understanding of natural language processing techniques and algorithms.
- Hands-on experience with modern NLP approaches, including embedding models, text classification, sequence tagging (NER), and transformers/LLMs.
- Deep understanding of transformer architectures and knowledge of LLM training and fine-tuning techniques, hands-on experience developing solutions on LLM, and knowledge of linguistic nuances in Ukrainian or other languages.

Advanced NLP/ML Techniques:
- Experience with evaluation metrics for language models (perplexity, BLEU, ROUGE, etc.) and with techniques for model optimization (quantization, knowledge distillation) to improve efficiency.
- Background in information retrieval or RAG (Retrieval-Augmented Generation) is a plus for building systems that augment LLMs with external knowledge.
ML & Programming Skills:
- Proficiency in Python and common data science libraries (pandas, NumPy, scikit-learn).
- Strong experience with deep learning frameworks such as PyTorch or TensorFlow for building NLP models.
- Ability to write efficient, clean code and debug complex model issues.

Data & Analytics:
- Solid understanding of data analytics and statistics.
- Experience in experimental design, A/B testing, and statistical hypothesis testing to evaluate model performance.
- Experience on how to build a representative benchmarking framework given business requirements for LLM.
- Comfortable working with large datasets, writing complex SQL queries, and using data visualization to inform decisions.

Deployment & Tools:
- Experience deploying machine learning models in production (e.g., using REST APIs or batch pipelines) and integrating with real-world applications.
- Familiarity with MLOps concepts and tools (version control for models/data, CI/CD for ML).
- Experience with cloud platforms (AWS, GCP or Azure) and big data technologies (Spark, Hadoop) for scaling data processing or model training is a plus.
- Hands-on experience with containerization (Docker) and orchestration (Kubernetes) for ML, as well as ML workflow tools (MLflow, Airflow).
Leadership & Communication:
- Demonstrated ability to lead technical projects and mentor junior team members.
- Strong communication skills to convey complex ML results to non-technical stakeholders and to document methodologies clearly.

Responsibilities:
- Lead end-to-end development of NLP and LLM models - from data exploration and model prototyping to validation and production deployment. This includes designing novel model architectures or fine-tuning state-of-the-art transformer models (e.g., BERT, GPT) to solve project-specific language tasks.
- Analyze large text datasets (Ukrainian and multilingual corpora) to extract insights and build robust training datasets.
- Guide data collection and annotation efforts to ensure high-quality data for model training.
- Develop and implement NLP algorithms for a range of tasks such as text classification, named entity recognition, semantic search, and conversational AI.
- Stay up-to-date with the latest research to apply transformer-based models, embeddings, and other modern NLP techniques in the solutions.
- Establish evaluation metrics and validation frameworks for model performance, including accuracy, factuality, and bias.
- Design A/B tests and statistical experiments to compare model variants and validate improvements.
- Deploy and integrate NLP models into production systems in collaboration with engineers - ensuring models are scalable, efficient, and well-monitored in a real-world setting.
- Optimize model inference and troubleshoot issues such as model drift or data pipeline bottlenecks.
- Provide technical leadership and mentorship to the NLP/ML team.
- Review code and research, uphold best practices in ML (version control, reproducibility, documentation), and foster a culture of continuous learning and innovation.
- Collaborate cross-functionally with product managers, software engineers, and MLOps engineers to align NLP solutions with product goals and infrastructure capabilities.
- Communicate complex data science concepts to stakeholders and incorporate their feedback into model development.

The company offers:
- Competitive salary.
- Equity options in a fast-growing AI company.
- Remote-friendly work culture.
- Opportunity to shape a product at the intersection of AI and human productivity.
- Work with a passionate, senior team building cutting-edge tech for real-world business use.

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.

About the client:
Our client is an IT company that develops technological solutions and products to help companies reach their full potential and meet the needs of their users. The team comprises over 600 specialists in IT and Digital, with solid expertise in various technology stacks necessary for creating complex solutions.

About the role:
We are looking for an experienced Senior/Middle Data Scientist with a passion for Large Language Models (LLMs) and cutting-edge AI research. In this role, you will focus on designing and prototyping data preparation pipelines, collaborating closely with data engineers to transform your prototypes into scalable production pipelines, and actively developing model training pipelines with other talented data scientists. Your work will directly shape the quality and capabilities of the models by ensuring we feed them the highest-quality, most relevant data possible.

Requirements:
Education & Experience:
- 3+ years of experience in Data Science or Machine Learning, preferably with a focus on NLP.
- Proven experience in data preprocessing, cleaning, and feature engineering for large-scale datasets of unstructured data (text, code, documents, etc.).
- Advanced degree (Master’s or PhD) in Computer Science, Computational Linguistics, Machine Learning, or a related field is highly preferred.
NLP Expertise:
- Good knowledge of natural language processing techniques and algorithms.
- Hands-on experience with modern NLP approaches, including embedding models, semantic search, text classification, sequence tagging (NER), transformers/LLMs, RAGs.
- Familiarity with LLM training and fine-tuning techniques.
ML & Programming Skills:
- Proficiency in Python and common data science and NLP libraries (pandas, NumPy, scikit-learn, spaCy, NLTK, langdetect, fasttext).
- Strong experience with deep learning frameworks such as PyTorch or TensorFlow for building NLP models.
- Ability to write efficient, clean code and debug complex model issues.
Data & Analytics:
- Solid understanding of data analytics and statistics.
- Experience in experimental design, A/B testing, and statistical hypothesis testing to evaluate model performance.
- Comfortable working with large datasets, writing complex SQL queries, and using data visualization to inform decisions.
Deployment & Tools:
- Experience deploying machine learning models in production (e.g., using REST APIs or batch pipelines) and integrating with real-world applications.
- Familiarity with MLOps concepts and tools (version control for models/data, CI/CD for ML).
- Experience with cloud platforms (AWS, GCP, or Azure) and big data technologies (Spark, Hadoop, Ray, Dask) for scaling data processing or model training.
Communication & Personality:
- Experience working in a collaborative, cross-functional environment.
- Strong communication skills to convey complex ML results to non-technical stakeholders and to document methodologies clearly.
- Ability to rapidly prototype and iterate on ideas

Nice to have:
Advanced NLP/ML Techniques:
- Familiarity with evaluation metrics for language models (perplexity, BLEU, ROUGE, etc.) and with techniques for model optimization (quantization, knowledge distillation) to improve efficiency.
- Understanding of FineWeb2 or similar processing pipelines approach.
Research & Community:
- Publications in NLP/ML conferences or contributions to open-source NLP projects.
- Active participation in the AI community or demonstrated continuous learning (e.g., Kaggle competitions, research collaborations) indicating a passion for staying at the forefront of the field.
Domain & Language Knowledge:
- Familiarity with the Ukrainian language and context.
- Understanding of cultural and linguistic nuances that could inform model training and evaluation in a Ukrainian context.
- Knowledge of Ukrainian text sources and data sets, or experience with multilingual data processing, can be an advantage given the project’s focus.
MLOps & Infrastructure:
- Hands-on experience with containerization (Docker) and orchestration (Kubernetes) for ML, as well as ML workflow tools (MLflow, Airflow).
- Experience in working alongside MLOps engineers to streamline the deployment and monitoring of NLP models.
Problem-Solving:
- Innovative mindset with the ability to approach open-ended AI problems creatively.
- Comfort in a fast-paced R&D environment where you can adapt to new challenges, propose solutions, and drive them to implementation.

Responsibilities:
- Design, prototype, and validate data preparation and transformation steps for LLM training datasets, including cleaning and normalization of text, filtering of toxic content, de-duplication, de-noising, detection and deletion of personal data, etc.
- Formation of specific SFT/RLHF datasets from existing data, including data augmentation/labeling with LLM as teacher.
- Analyze large-scale raw text, code, and multimodal data sources for quality, coverage, and relevance.
- Develop heuristics, filtering rules, and cleaning techniques to maximize training data effectiveness.
- Collaborate with data engineers to hand over prototypes for automation and scaling.
- Research and develop best practices and novel techniques in LLM training pipelines.
- Monitor and evaluate data quality impact on model performance through experiments and benchmarks.
- Research and implement best practices in large-scale dataset creation for AI/ML models.
- Document methodologies and share insights with internal teams.

The company offers:
- Competitive salary.
- Equity options in a fast-growing AI company.
- Remote-friendly work culture.
- Opportunity to shape a product at the intersection of AI and human productivity.
- Work with a passionate, senior team building cutting-edge tech for real-world business use.

We are looking for an OpenStack Engineer to join our team.

Requirements:

- 4+ years of experience as a Linux System Administrator/TechOps Engineer;
- Strong knowledge of maintaining and operating private clouds;
- Should have good understanding of Openstack implementation;
- Hands on operational experience with OpenStack;
- Needs experience with DevOps within OpenStack;
- Strong knowledge of distributed object store systems (Ceph or similar);
- Strong knowledge of Linux architecture and systems implementation;
- Strong knowledge of IaC approach(Ansible, Terraform);
- Knowledge of Kubernetes management;
- Knowledge of Linux OS (RHEL family, Debian/Ubuntu);
- Storage technologies (RAID, LVM, distributed storages);
- Good understanding of networking concepts and protocols;
- Knowledge of virtualization solutions (libvirt, KVM, quemu);
- English: Upper-Intermediate.

Will be plus:

- Network certification like CCNA;
- Common Linux certification like RHCSA or LPIC-1,2;
- Storage certification like CL260;
- OpenStack certification like COA.

Responsibilities:

- Support and evolution of the current internal cloud infrastructure with a focus on HA approach
- Development and improvement of the list of PaaS, SaaS services provided by the internal cloud
- Automate and improve current processes using an IaC approach to accelerate the deployment of new environments
- Maintain solutions for operational administration, system/data backup, and disaster recovery;
- Troubleshooting and resolving incidents related to the holding's internal cloud and storage infrastructure

Our benefits to you:

☘️An exciting and challenging job in a fast-growing holding, the opportunity to be part of a multicultural team of top professionals in Development, Architecture, Management, Operations, Marketing, Legal, Finance and more
🤝🏻Great working atmosphere with passionate experts and leaders, sharing a friendly culture and a success-driven mindset is guaranteed
🧑🏻‍💻Modern corporate equipment based on macOS or Windows and additional equipment are provided
🏖Paid vacations, sick leave, personal events days, days off
💵Referral program — enjoy cooperation with your colleagues and get the bonus
📚Educational programs: regular internal training sessions, compensation for external education, attendance of specialized global conferences
🎯Rewards program for mentoring and coaching colleagues
🗣Free internal English courses
✈️In-house Travel Service 
🦄Multiple internal activities: online platform for employees with quests, gamification, presents and news, PIN-UP clubs for movie / book / pets lovers and more
🎳Other benefits could be added based on your location

We are looking for a seasoned C++ developer who bridges the gap between software and hardware to our office in Krakow/Poland.
The ideal candidate has strong experience in computer vision and GUI development (Qt) on Linux platforms.
A critical requirement is prior commercial experience working on projects that involved processing data from camera sensors.

Required Technologies / Skills:
C, C++, Bash, OpenCV, image processing, signal processing, computer vision, Qt
 

Nice to have:
Python, machine learning

We are looking for a Salesforce Developer with a strong understanding of Salesforce UI, configuration, and custom development. You will work on improving existing solutions and building new features within our Salesforce environment.
 

Responsibilities:

- Develop and customize Salesforce features based on business needs.

- Work with Salesforce UI, layouts, and user experience improvements.

- Create and manage custom objects and related configurations.

- Support and optimize workflows, automation, and system processes.

- Collaborate with the team to deliver scalable and reliable solutions.

Requirements:

- Practical experience working with Salesforce (UI, configuration, customization).

- Understanding of data models, custom objects, and basic automation tools.

- Experience with Apex or general Salesforce development practices.

- Ability to work with stakeholders to clarify and implement requirements.

- Upper-Intermidiate English 
 

Nice to Have:

- Salesforce certifications.

- Experience with integrations or API-based solutions.

- Familiarity with Agile development processes.

• Project Description:

  We are seeking a Bid Manager (Project Manager/ Deal Coordinator) to join the GrowthX Bid Management Team to support the bid process, new business generation activities, and preparation of documentation for formal tenders, handling client requests (RFIs/ RFPs, etc.), and creating content for client's presentations. Multitasking and being proactive is a must. Each team member is also expected to lead one or more internal team areas or initiatives contributing towards evolution of business processes and effectiveness.

  
  The Bid Manager owns the full bid management cycle to increase efficiency, time to quote, quote to cash and consequently significantly improves our customer experience.

   

• Responsibilities:

  Managing multiple, parallel bids to meet sales bid deadlines
  Studying and analyzing bid documents to understand the needs of the client
  Making the proposal structure and bid approach fit the customer bid requirements
  Managing bid pricing and commercial strategy within agreed bid frameworks and approval frameworks
  Managing and reviewing bid inputs (internal and third-party) to ensure high-quality output, e.g. SOW and pricing
  Producing and managing preliminary and final quotes, commercial project contracts, and any document related to the bid
  Documenting/ archiving bid information in dedicated databases and data sharing sites, ensuring that all critical information is
  current and complete
  Coordinating joint efforts of the bid team, distributing the tasks
  Preparing case studies and other reference materials
  Collating materials provided by various departments

   

• Mandatory Skills Description:

  A team player with a strong personal integrity
  Motivated, flexible, organized and process-oriented
  Able to track and manage multiple discussion threads and bids, ensuring continuity and follow-up
  Analytical, project coordination and business analysis skills
  Project management experience
  Perfect English (C1)
  Distinct ability to work independently, though being flexible to work under supervision/ in teams
  Advanced knowledge of Microsoft Office (PowerPoint, Word, Excel)
  Understanding of SDLC

   

• Nice-to-Have Skills Description:

  Knowledge of Core Banking and Application Modernization
  Atlassian JIRA and Confluence
  Sharepoint