Jobs

NuxGame works with iGaming operators of all scales helping companies access new markets or enhance their existing brands. As a casino gaming software company, NuxGame provides solutions that allow building outstanding brands and fulfilling your business goals. We are looking for a  PHP Developer (Laravel) to join our team.

What we expect from the candidate:

- At least 2 year of experience in a similar position;

- Deep understanding of PHP and its features in the context of Laravel;

- Experience with HTTP, REST, and API integrations;

- Also experience with Git, Gitflow;

- Basic knowledge of Linux, Nginx, Docker;

- English language level from Intermediate (B1).

Your position will include:

- Developing program code for the company's products;

- Performing tasks in accordance with the work plan;

- Quality control of the written program code;

- Writing automated tests for previously developed program code;

- Support of the program code and its functions.

What we offer:

- Remote work format;

- Working hours from 10:00 to 18:00 (Mon-Fri);

- Interesting work in successful projects;

- Timely payment of salaries, official employment, 24 days of vacation and fun corporate events;

- A friendly team and a pleasant atmosphere without pressure, stress and other negative things.

We believe in the importance of unlocking the inner potential of each team member, we have an open and democratic system of work organization.

We are waiting for you on our team!

Meet the YozmaTech

YozmaTech isn’t just another tech company – we’re a global team of go-getters, innovators, and A-players helping startups and product companies scale smarter and faster.
We build dedicated development teams across 10+ countries, creating strong, long-term partnerships based on trust, transparency, and real impact.
Here, every idea counts. We value people who are proactive, open-minded, and ready to grow. If you’re passionate about building meaningful products and want to join a team that feels like family – you’ll feel right at home with us.

Our client is a US-based startup building AI-powered tools for product and engineering teams, focused on autonomous “agentic AI” systems that turn product requirements into working features directly within real codebases. Their platform integrates with tools like Jira, Git, and design systems to generate production-ready code, reuse existing components, follow company standards, and automatically create pull requests.

The solution operates within real development environments and is designed to understand codebase structure, dependencies, and architecture, enabling it to act more like an experienced developer than a basic assistant.

Our client is looking for a Senior Full-Stack Engineer to join their team and help shape the future of autonomous AI agents for developers. In this role, you will work closely with AI engineers to build tools that enhance coding workflows, automate tasks, and boost productivity.

Why join this project?

• Be part of next-generation AI-powered development tools redefining software engineering
• Collaborate with top-tier engineers and AI specialists
• Solve complex challenges in a fast-paced, growing environment
• Enjoy a dynamic work culture with exciting growth opportunities
• Gain hands-on experience with cutting-edge technologies as the product evolves rapidly

Our tech stack:
React, TypeScript, Python, Postgres, Redis, AWS (leveraging its services extensively).

Key Requirements:
🔹 10+ years in full-stack engineering, with strong backend and frontend experience;
🔹 Startup experience is a must;
🔹 Backend: Strong experience with cloud architectures and AWS services;
🔹 Experience with Infrastructure as Code (IAC) tools such as Terraform or Pulumi;
🔹 Frontend: Deep expertise in React, TypeScript, and modern frontend architectures;
🔹 Experience working with CI/CD pipelines, automated testing, and modern development workflows;
🔹 Passion for developer tools and high-quality code;
🔹 Advantage: Use AI-powered dev tools in your day-to-day workflow;
🔹 Advantage: Experience with Python;
🔹 English – Upper-Intermediate or higher.

What you will do:
🔹 Design and develop scalable full-stack solutions, balancing backend and frontend;
🔹 Architect and optimize cloud-based systems using AWS;
🔹 Build and maintain high-performance backend services and APIs;
🔹 Develop modern, interactive UI components using React and TypeScript;
🔹 Work on developer-focused tools, including IDE plugins and workflow integrations;
🔹 Solve complex technical challenges (e.g. large codebase parsing, performance optimization, AI integrations);
🔹 Collaborate closely with AI engineers to integrate AI-driven features into the product;
🔹 Take ownership of key technical decisions and contribute to overall system architecture;

Interview stages:
🔹HR interview;
🔹Initial interview (30 min);
🔹Technical interviews;
🔹Interview with CTO (30 min);
🔹Interview with CEO (30 min);
🔹References;
🔹Offer.

Why Join Us?

At YozmaTech, we’re self-starters who grow together. Every day, we tackle real challenges for real products – and have fun doing it. We work globally, think entrepreneurially, and support each other like family. We invest in your growth and care about your voice. With us, you’ll always know what you’re working on and why it matters.
From day one, you’ll get:
🔹 Direct access to clients and meaningful products;
🔹 Flexibility to work remotely or from our offices;
🔹 A-team colleagues and a zero-bureaucracy culture;
🔹 Opportunities to grow, lead, and make your mark.

After you apply

We’ll keep it respectful, clear, and personal from start to offer.
You’ll always know what project you’re joining – and how you can grow with us.

Everyone’s welcome

Diversity makes us better. We create a space where you can thrive as you are.

Ready to build something meaningful?

Let’s talk. Your next big adventure might just start here.

We are looking for an Autonomous systems engineer with a background in computer vision, control theory and mathematical modelling. The ideal candidate will have a strong math background, experience with autonomous systems, modelling and control design. 

Required Qualifications: 

• 2 years of hands-on experience with classical computer vision
• Understanding of geometrical computer vision principles 
• System identification and control
• Sensor fusion/signal processing
• Proficiency in C++ and/or experience with Python
• Experience with Linux and single-board computers
• Experience with PID controllers tuning in embedded or autonomous systems
• Ability to quickly navigate through recent research and trends in computer vision and autonomous systems
• Relevant work experience or education in STEM field

Nice to Have:

• Experience with SLAM and/or Visual-Inertial Odometry (VIO)
• Matlab
• Experience with PX4, betaflight, Ardupilot 
• Familiarity with neural networks and common CV frameworks/libraries (OpenCV, NumPy, PyTorch, ONNX, Eigen, etc.)
• Experience with simulation tools (Gazebo, AirSim)
• SITL, HITL testing
• ROS2

We’re a recruitment agency working with space companies and R&D teams. These are hard-to-fill roles with high standards and multi-stage interview processes.

Example roles you’ll work on

• SAR System Engineer with AI to work in Berlin 
• PHP - NL 
• Engineering Manager RF/PCB - Finland

What you will do (freelance recruiter scope)

• Source candidates (LinkedIn, communities, job boards, referrals, your network)
• Run first outreach + initial screening
• Collect required answers in writing or via a quick call (we provide questions/template)
• If the candidate matches requirements — hand off to our team (CV + answers + short recruiter summary)
• We validate and submit to the client
• You stay in touch with the candidate and with us to move them through interview stages until offer/start

Requirements

• Proven experience in IT/Tech recruitment (agency or in-house)
• Strong sourcing skills (LinkedIn + Boolean)
• Solid English (messaging + short screening calls)
• Comfortable working with complex profiles and international pipelines
• Reliable communication, fast follow-ups, clean reporting

Nice to have: Space/Defense/Embedded/SAR-related hiring experience; EU/Canada hiring exposure

Bonus & payment terms

• €1,000 – €2,000 – €3,000 per successful hire
• Payment split:
  • 50% after candidate’s start date
  • 50% after passing probation (3 months)

How to apply

Please share:

• Short intro (your recruiting background)
• 2–3 examples of roles you’ve closed (stack + geography)
• Your sourcing channels
• Weekly availability (hours/time zone)

Senior Full-Stack Engineer (AI Products)

26 Lines Of Code  is looking for a Senior Full-Stack Engineer who doesn’t just code, but leads projects and drives execution.

🔹 What You’ll Do

• Lead projects end-to-end (architecture → delivery).
• Design scalable, AI-powered solutions.
• Connect product vision with technical execution.
• Communicate trade-offs, timelines, and risks to clients.
• Mentor engineers and maintain high code quality.
• Work with microservices and REST APIs.
• Handle authentication (OAuth, SAML, SSO).

🔹 Requirements

• 5+ years of Full-Stack experience.
• Strong React.js, Node.js, JavaScript, TypeScript.
• SQL (MySQL/PostgreSQL) + Redis or other NoSQL.
• Cloud platforms (AWS / Azure / GCP).
• Solid knowledge of design patterns & best practices.
• Strong communication skills (English B2+).
• Availability for overlap with Eastern USA time zone.

🚫 Not a fit if you’re looking for a pure coding role without ownership.

• Full-time
• Remote
• B2B/ UKR FOP
• Long term project

We are working with a forward-thinking startup that puts its products first in finding an experienced Senior DevOps/Platform Engineer to help establish and grow the platform that their product teams are building upon.

This is a highly hands-on role; we’re looking for someone who enjoys solving real production challenges, working close to the code, and continuously improving the developer experience across the engineering organization.

The position involves a lot of platform engineering, infrastructure reliability, and product development. This is an amazing fit for someone who loves fast-paced startup culture, craves ownership, and has a say in how products are developed.
 

What you’ll do:

• Design, build, and operate scalable cloud infrastructure on AWS
• Improve and maintain CI/CD pipelines, developer tooling, and deployment workflows
• Own observability across the platform: logging, metrics, tracing, dashboards, and alerting
• Partner closely with product engineers to improve developer productivity and production visibility
• Drive infrastructure and architectural decisions with a pragmatic startup mindset
• Continuously improve system reliability, performance, and operational efficiency
• Explore and implement practical AI tooling within engineering workflows

What we’re looking for:

• Strong hands-on experience with AWS infrastructure and production systems
• Deep understanding of networking, compute, containers, and orchestration
• Solid backend engineering background and experience shipping production software
• Experience building and operating observability systems for distributed applications
• Proven ability to debug complex production issues and improve system reliability
• Experience working in fast-paced startup environments
• Strong ownership mindset and ability to operate autonomously
• Daily hands-on coding and infrastructure work
• Experience using AI tools in software engineering workflows

Nice to have:

• Experience building internal developer platforms
• Exposure to ML/AI infrastructure or GPU workloads
• Open-source contributions or experience with observability tooling

Why this opportunity:

• High-impact role with significant ownership and autonomy
• Opportunity to shape platform engineering from the ground up
• Startup environment where your work directly influences product velocity and company growth
• Collaborative engineering culture focused on pragmatism, speed, and quality

Rock&Apps is looking for a Media Buyer who has experience working with ad networks (push, pop’s) to boost the team’s performance 🚀

Location: Remote or Warsaw office / hybrid 

Format: Full-time 

Seniority: Middle+ / Senior (We will assess your seniority not by years of experience, but by reviewing the case statistics you have worked with)

What you’ll do

- Develop and implement effective advertising strategies for highly competitive products and target markets, ensuring alignment with budgetary guidelines 

- Communication with partners + setting up workflows with new ones 

- Continuously analyze and optimize ad performance using metrics like CPA, CPC, CPM, and ROI to maximize return on investment and payback 

- Conduct competitors’ research, generating insights and presenting findings to stakeholders for data-driven decision-making 

- Collaborate with designers, developers, and other specialists to bring your creative ideas for ads and landing pages to life

What we’re looking for

- At least 3 year of experience working with add networks 

- Ability to analyze key metrics and work with models like CPA, CPC, CPM, CPI 

- Familiarity with leading global ad networks 

- Strong skills in working with spreadsheets and BI Tools 

- Experience managing >100k budgets in verticals with high competition 

- Responsibility, attention to detail, and accuracy 

- Positive mindset and challenging spirit to push boundaries

What we offer

- A fast-growing environment with minimal bureaucracy 

- Support for professional development 

- 15 paid vacation days 

- 15 paid sick days 

- 5 paid days off 

- Benefit bar

Position Overview

We are seeking an experienced Data Scientist/ML Engineer specializing in neural networks, with 3+ years experience in the applied field. The ideal candidate should be a great mentor and team player; python ninja with a strong background in various neural network architectures (recurrent, convolutional, feedforward, etc.) and a deep understanding of developing, tuning, and deploying different architectures. This role also requires excellent Python programming skills and a solid foundation in data analysis and statistics. If you strive in a fast pace environment, with tight deadlines but fast professional growth, you are welcome in our team!

Key Responsibilities:

• Create statistical summaries to support hypothesis testing and data-driven decisions during EDA
• Implement data preparation and feature engineering pipelines for the models
• Plan and implement algorithms for predictive modeling.
• Provide continuous improvement of models in production
• Lead the ML-driven python coding for end to end model deliveries, support our ML-related libraries/
• Collaborate with a cross-functional team of specialists, including senior and junior data scientists, Python developers and ML engineers, data analysts, and DevOps specialists.
• Provide expertise in tuning loss functions, metrics, sample weights adjustment, hyperparameter tuning and model improvement in general.
• Generate detailed evaluation reports, summarizing key findings and presenting actionable insights to stakeholders.
• Keep up with tight deadlines, agile environment of work with evolving objectives and KPIs, having the highest level of organisation and self management to provide a full work clarity, extensive tracking and documentation of your work.

Required Skills and Qualifications:

• Minimum of 3 years of professional experience as a Data Scientist or Machine Learning Engineer.
• Proficient in building custom neural networks using PyTorch.
• Strong experience with various neural network architectures specialised for time-series modelling and tabular data predictive modelling 
• Proficiency with neural network layers (like LSTM, GRU, Conv1D, Dense, Dropout, BatchNormalization) and activation functions (ReLU, Sigmoid, Tanh, Softmax).
• Experience with time series data, including loading, cleaning, and feature engineering using libraries like pandas, numpy. Knowledge of Darts library would be a large bonus.
• Expertise in model development, including selecting and developing models from the Darts library and building custom neural network architectures.
• In-depth knowledge of Python programming and relevant libraries (e.g., Scikit-learn, Pandas, PyTorch, Shap). We want to emphasize this requirement of excellency in python, including good working OOP knowledge. We do noе accept candidates with partial experience in python, as our projects require solid programming skills for writing and supporting data science related functionalities and libraries
• Solid understanding of statistics and data analysis.
• Skilled in using and tuning loss functions such as MSE, MAE, Cross-Entropy Loss, and custom loss functions relevant to time series forecasting.
• Experience with hyperparameter optimization using libraries like Optuna or Hyperopt.
• Capable of implementing and optimizing training loops in PyTorch, including data loaders and training validation steps.
• Knowledge of time series-specific cross-validation techniques and regularization methods to prevent overfitting.
• Strong skills in evaluating model performance using metrics like MSE, RMSE, MAE, MAPE, and R-squared.
• Familiarity with backtesting functionalities for validating model performance.
• Experience in model deployment, including serialization and deployment of models for real-time services.
• Strong communication skills for presenting findings and progress to stakeholders, using visualizations created with matplotlib, seaborn, or plotly.
• Proficiency in using Git for version control and collaboration.
• Major education in Data Science, Computer Science, or a related field IS A MUST. We do not accept people with other backgrounds.
• Certifications in deep learning are preferred.
• Excellent command of spoken and written English.
• Strong self-management, time management, and organizational skills.

• Ability to work under a structured management system while independently handling creative tasks.

   

What We Offer:

• Competitive remuneration package.
• Bonuses
• Professional mentorship and guidance from experienced team members.
• Opportunities for professional growth and continuous learning.
• A dynamic and collaborative work environment.
   

About DataObrii
DataObrii is a high-tech consulting firm specializing in data science, machine learning, and AI-augmented Internet of Things. Our team comprises experienced data scientists, python engineers, devops, hardware electrical engineers, and business analysts dedicated to delivering innovative, data-driven solutions that enhance business intelligence and efficiency. We emphasize continuous improvement, keeping up with current and emerging technologies, and delivering complete timely, effective solutions.

Our Values:

• Efficiency: We employ an agile approach to ensure timely delivery of high-quality solutions. This governs fast delivery cycles, quick and efficient solutions, iteratively going from PoC developments to fully enhanced production systems.
• Professionalism: Our commitment to excellence drives us to achieve success for our clients. This includes both technical and ethical proficiency required from all our employees.
• Creativity: We utilize design thinking to develop innovative solutions that address complex business challenges.
• Care: We invest time in understanding our clients' business models to provide tailored solutions that align with their objectives.
   

We are looking for a Senior Data Analyst. 

This is not a standard analyst role. We are building a dynamic identity resolution system where AI is deeply integrated — both as a productivity multiplier and as a core component of our data processing logic for identity resolution and LLM-based scoring.

We run enrichment against 70+ TB of data, apply AI and LLM-based scoring on top, and process around 20 million enrichment operations per day across hundreds of thousands of records.

The analytical challenges ahead are substantial: how to measure the quality of AI-driven scoring, how to validate that a change makes the system better, how to know where our money and time deliver the most value, and how to turn the questions our internal teams bring in into fast data-backed answers. You will own this side of the business, working daily alongside engineers and the product lead to turn these challenges into decisions that ship.

The main part of the role is not building dashboards — it is the data work that makes a meaningful dashboard possible in the first place. Concretely, you will be:

• Looking at data from multiple vendors side by side and deciding what to trust.
• Reconciling entities across sources that have different shapes and quality.
• Proposing and validating the logic that matches and scores them.
• Defining metrics and ground truth for questions nobody has asked before.
• Tracing why numbers don't line up across partial and sometimes contradictory sources.

Dashboards and visualizations are part of how findings get communicated, but they come at the end — the surface of the work, not its core. Most of your time is spent on what sits underneath: methodology, judgment calls on data quality, and shaping how the domain understands its own numbers.

Responsibilities

• Measurement & Evaluation Foundations: Define how we measure what matters — data quality, the accuracy of our AI scoring, how many records actually get matched to usable signals, cost per outcome. Build the feedback loops that tell us whether a change makes the system better or worse.

• Scoring Intelligence (co-owned with engineers): Partner with the engineering team on the LLM-based scoring system. You will build the evaluation framework for AI scoring, run experiments comparing prompts, models, and approaches against a baseline, and make data-backed calls on where we invest next. Our AI scoring system is actively evolving — you will shape how we measure and improve it.

• Client-related Analysis: Own the analytical side of the work that internal sales and media-buying teams bring in from pharma clients — how reachable a target audience is, how good the data looks, why a campaign performed the way it did. You turn their questions into data-backed answers they can use. Identity is a product core; the analyst works with internal teams, not with clients directly.

• Cost and Value Analysis: Turn cost and value into product decisions. Which data sources and enrichment scenarios pay off, where we overspend, what to cache, what to cut. We operate a mix of free owned data and paid external providers — the decisions have real dollar impact.

• Active AI Usage: Use Claude Code and modern AI engineering tools to multiply your own output. Automate the repetitive parts of analysis so you can focus on the decisions. We provide Claude Code licenses and expect active daily use.

• Data Quality Response: When pipeline output drifts, a provider degrades, or upstream data shifts, you notice first, diagnose the root cause, and drive the fix. You treat data quality as a product, not a ticket queue.

Requirements

• 5+ years as a Data Analyst, Analytics Engineer, or Data Scientist in a product team (not consultancy, not BI-only roles).
• Advanced SQL at TB scale — BigQuery, Snowflake, or equivalent warehouse. You can read and write complex queries on tens of terabytes without someone pre-modelling the data for you.
• Python for analysis at a working level — pandas, Jupyter, or modern equivalents. Comfortable putting together a small script or helper when an existing tool doesn't cover your case.
• Built measurement or evaluation frameworks from scratch for systems that had no baseline. You are comfortable defining what and how to measure, not consuming someone else's KPI.
• Comfort with probabilistic systems. You understand that noise is inherent and 100% accuracy is not the goal — scoring, matching, ranking.
• AI-native workflow. You already use Claude Code, ChatGPT, Copilot, or similar AI tools daily and integrate them into your analytical process.
• English: B2+ (Upper-Intermediate) or higher.

Strong plus (one or more)

• LLM evaluation experience — A/B testing AI-powered features, output scoring, prompt iteration with measurable outcomes.
• Identity resolution / identity graph experience — adtech, martech, or customer data platform context (LiveIntent, LiveRamp, Epsilon, Experian Marketing, Acxiom, Merkle, or similar).
• Healthcare or pharma data — working with NPI, HCP-level data, healthcare taxonomies, pharma targeting.

Nice to have

• Experience running controlled experiments on data pipelines.
• Prompt engineering or structured LLM prompt design.
• Prior work in AI-first product companies.

Culture & Mindset

• Self-improvement: You are a fast learner. You don't fear AI replacing you; you master it to replace your manual tasks.
• Ownership: You treat the Identity domain as your own business. If scoring quality drifts or a provider degrades, you notice it and drive the fix without being asked.
• Internal Locus of Control: You take responsibility for outcomes. If external data shifts or an API changes, you build around it instead of blaming the provider.
• Get It Done: You prioritize shipping answers. You know when to send a rough estimate and when to build a proper framework.
• Openness: You share findings and admit mistakes openly — both wins and failures travel across the team. If you spot a better way to do something, you volunteer it without being asked.

What We Offer

• Fully remote with flexible hours, with working overlap in CET ±2 hours for syncs.
• AI-Native Environment: We provide licenses for Claude Code and encourage using the bleeding edge of AI tech — both for daily work and as part of product logic.
• High-Impact Role: You will directly shape how we identify, score, and reach healthcare professionals — the core business of our domain.
• Small team, direct impact: You will work directly with Product and Engineering leads — no layers between you and the people making decisions.
• No Bureaucracy: Fast decisions, no legacy processes, focus on results.

We are looking for a Senior AI/ML Engineer to design, build, and scale AI-driven solutions within the Palantir Foundry and AIP ecosystem.

In this role, you will take ownership of developing production-ready AI systems, including LLM-powered applications, RAG pipelines, and machine learning models, while collaborating closely with cross-functional teams. You will contribute to architectural decisions, ensure high-quality implementations, and help evolve AI capabilities within enterprise environments.

Key Responsibilities

• Design, develop, and enhance AI-driven solutions, including machine learning models, LLM-based applications, and NLP workflows for analytics, automation, and decision-making
• Build and optimize RAG pipelines, including embeddings, retrieval strategies, chunking approaches, and hybrid search techniques
• Develop AI solutions within Palantir Foundry, leveraging Ontology objects, pipelines, and workflows
• Apply LLMs and GenAI techniques (prompt engineering, fine-tuning, embeddings, retrieval-augmented generation) using Palantir AIP
• Own the end-to-end lifecycle of AI solutions: data preparation, model development, evaluation, deployment, and monitoring
• Collaborate with data engineers to ensure data quality, pipeline efficiency, and scalable data processing
• Integrate AI models into production workflows to deliver business-facing insights and automation capabilities
• Evaluate and improve model and system performance, including accuracy, latency, scalability, and cost-efficiency
• Contribute to architecture decisions, including selection of tools, frameworks, and design patterns for AI systems
• Implement and follow MLOps / LLMOps best practices, including versioning, evaluation frameworks, monitoring, and continuous improvement
• Ensure responsible AI practices, including data privacy, governance, and compliance considerations
• Collaborate with stakeholders to translate business needs into practical and scalable AI solutions
• Mentor junior engineers and contribute to knowledge sharing within the team

Requirements

• 4–5+ years of experience in AI/ML engineering, applied data science, or related fields
• Strong proficiency in Python and experience with ML frameworks (e.g., scikit-learn, XGBoost, PyTorch, TensorFlow)
• Hands-on experience with LLMs, NLP, or GenAI applications (prompt engineering, embeddings, text processing, summarization, etc.)
• Practical experience with RAG architectures, vector databases, and retrieval strategies
• Strong understanding of the ML lifecycle: data preparation, feature engineering, model training, evaluation, and deployment
• Experience building and deploying production-grade AI systems
• Familiarity with structured and unstructured data processing (tabular, time series, text, documents)
• Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes)
• Understanding of MLOps / LLMOps practices, including monitoring, evaluation, and iteration
• Experience working in enterprise data environments with cross-functional teams
• Ability to communicate AI concepts and results to technical and non-technical stakeholders
• Upper-Intermediate English or higher

Nice to Have

• Experience with Palantir Foundry (Ontology, Object Builders, Code Repositories, AIP)
• Experience in regulated industries (e.g., pharma, finance)
• Experience with distributed data processing (e.g., Spark)
• Exposure to multilingual or multimodal AI systems

Akurateco is a cutting-edge white-label payment software provider with 15+ years of hands-on experience in the payment industry. We bring our clients fully-brandable and easily customizable payment software.
Our team is looking for Senior Monitoring Analytics Specialist.

Requirements:

• Experience working with NoSQL databases, specifically OpenSearch (Elasticsearch) is must have.
• Ability to build queries, filters, and aggregations in OpenSearch.
• Understanding of alerting principles and monitoring rule configuration.
• Strong analytical thinking, attention to detail, and a structured approach to working with large datasets.
• Experience with Power BI (building interactive reports and data visualizations).
• Experience with Redash (SQL queries and dashboard creation).
• Knowledge and hands-on experience in Machine Learning (building models for monitoring and antifraud) will be a plus.

Responsibilities:

• Development and maintenance of analytical reports for the monitoring team.
• Creation and optimization of alerts to detect suspicious transactions and incidents.
• Data visualization in dashboards for real-time monitoring.
• Close collaboration with risk management and monitoring teams to уточнити вимоги.
• Analysis of the effectiveness of configured rules and their optimization.

We offer:

• Interesting and extensive project;
• Fair remuneration;
• Flexible working hours and work-life balance;
• 20 vacation days, sick leaves upon request;
• Corporate English language classes.

We are currently seeking a skilled and driven Senior AI/ML Engineer to join our R&D team.

We believe that you have:

• In-depth knowledge of Machine Learning (ML) and Deep Learning (DL) principles
• A minimum of 3 years of experience working as a Software/ML Engineer
• Strong proficiency in Python programming and ML related libraries and engines
• Experience with AI Agents
• Proven experience in prompt engineering, Large Language Models (LLM)
• LLM Fine-tuning: Experience in fine-tuning pre-trained language models for specific tasks or domains
• LLM Frameworks and Tools: Langchain / LlamaIndex or other + familiarity with other relevant frameworks such as Transformers, GPT-Index, or FAISS
• Experience with one or more machine learning libraries such as TensorFlow, Keras, PyTorch
• Ability to extract meaningful business insights from data and identify the stories behind the patterns
• Willingness to work in an R&D team with shifting priorities and actively engage in PoC initiatives.

• Intermediate or higher level of English proficiency

   

Cool to have:

• Experience with Computer Vision
• Expirience with LLMOps
• DevOps & MLOps: CI/CD pipelines, Docker, Kubernetes
• Experience with SQL, NoSQL and Vector databases

• Experience with NLP, NLU, Semantic Search

   

Responsibilities:

• Collaborate closely with the web development team to design, develop, and deploy machine learning models
• Develop new machine learning models or enhance existing ones to meet project requirements

• Monitor and maintain machine learning models in production, ensuring their optimal performance and stability

   

We offer:

• Flexible schedule
• Horizontal management and communication directly with project stakeholders
• 20 days of paid vacation
• Paid sick-leaves
• Annual activities budget — we endorse your wish to self-improvement
• Remote work

It is a high-growth SaaS company selling IT Service Management, a space that is being propelled into high growth as businesses worldwide accelerate their digital transformation and start to adopt new workstyles for their employees.

We have over 4,000 customers in 140 countries. We are deployed in 42 different languages and used daily by over 100,000 system administrators. Our software impacts the daily working lives of over 9 million end users.

About the role:
We’re looking for an experienced Full-Stack Developer to join our mission. If you’re passionate about building impactful products, love working with cutting-edge AI technologies, and want to help push the boundaries of what’s possible.

What You’ll Do:

• Develop AI capabilities in the backend using Node.js, build and maintain robust API and connectivity infrastructure, while creating advanced React-based applications as part of global SaaS platforms.
• Take ownership of both backend and frontend features, with a strong emphasis on backend excellence
• Upgrade and enhance existing code, implementing the latest standards and technologies
• Work with TypeScript, and modern development tools (Webpack, Vite, Jest)
• Collaborate within an Agile team, contributing to technical decisions and shaping the user experience
• Ensure system performance, code quality, and ongoing maintenance
   

What We’re Looking For:

• 4 years of experience in web development, primarily backend, with full-stack capabilities
• Strong hands-on experience in Node.js
• Experience with React and frontend development
• Familiarity with CI/CD processes and DevOps tools, an advantage
• Creative thinker, problem solver, and a strong team player
• Team player with creative thinking and strong problem-solving skills
   

Bonus Point:

Experienced in designing and deploying vector databases for semantic search, as well as developing AI-driven applications leveraging RAG techniques.

What we offer:

• 20 working days’ vacation; 
• 10 paid sick leaves;
• public holidays;
• equipment;
• accountant helps with documents;
• many cool team activities.

Do you want to take part in interesting and diverse projects, work with the latest equipment, using advanced technologies, participate in the creation of unique devices that will be born right before your eyes? Then welcome to Ektos! We are looking for developers in our office located in Ivano-Frankivsk.

Who are we?

A Danish company that has been successfully operating since 2007 and is one of the leaders in the Embedded direction. And you can become one of us!

Key Responsibilities

• Define hardware architectures and detailed system specifications for analogue, digital, and mixed-signal circuits.
• Produce high-quality documentation that clearly describes and justifies hardware design choices in accordance with EKTOS quality procedures
• Perform electrical and thermal design calculations, simulations, and analyses.
• Design and validate power electronics, including AC/DC and DC/DC converters, battery charging systems, and battery-powered electronics.
• Conduct battery life estimation and energy consumption optimization for portable and low-power designs.
• Design and integrate RF circuits and antenna systems, including matching networks and 3rd-party antenna integration.
• Perform multilayer PCB layout, including HDI, flex, and flex-rigid board designs.
• Design high-speed PCB interfaces with a strong understanding of signal integrity validation.
• Apply EMC design principles, perform pre-compliance testing, and conduct EMC troubleshooting.
• Perform hardware bring-up, verification, and validation.
• Support the transition from prototype to mass production, including technical interaction with manufacturing.

Technical Competencies

• Advanced proficiency in analogue, digital, and mixed-signal electronics design, supported by strong analytical and simulation capabilities.
• Skilled in performing circuit- and temperature-level simulations and using industry-standard tools such as LTspice, PSpice, and Micro-Cap.
• A solid foundation in power electronics is essential, including experience with AC/DC and DC/DC converters, battery management systems, and battery-powered product design.
• Practical knowledge in RF design, encompassing antenna matching and  layout optimization for RF SoC and module-based systems (Wi-Fi, BLE, LoRa, GSM, LTE, NB-IoT, etc.).
• Proficiency in multilayer PCB design, including HDI, flex, and flex-rigid boards, is required, along with experience in creating production-ready PCB documentation.
• A comprehensive understanding of high-speed design principles—covering USB, Ethernet, DDR2/3, and HDMI interfaces—and of signal integrity and power integrity validation methods is expected.
• An in-depth understanding of EMC fundamentals, filtering, and shielding strategies, combined with hands-on experience in EMC pre-compliance testing and debugging, is essential.
• Proficient in the practical use of standard laboratory equipment such as oscilloscopes, logic analyzers, multimeters, signal generators, and spectrum analyzers.
• Strong prototype debugging, troubleshooting and repair skills.

General & Leadership Skills

• Experience in mentoring junior engineers.
• Ability to manage technical handovers, address customer issues, and support field troubleshooting.
• Skilled in task decomposition, time estimation, and proactive project communication.
• Upper-Intermediate or higher English proficiency (written and spoken).
• Proactive, self-correcting, and committed to continuous technical improvement through collaboration and hands-on experience.

Qualifications

• M.Sc. or B.Sc. in Electronics Engineering, Electrical Engineering, or related discipline.
• 7+ years of proven experience in hardware development.
• Expertise in full hardware development cycles from concept to production release.
• Familiarity with CE, FCC, EMC, and electrical safety certification standards.

About us and what we can offer:

• 24 working days of paid vacation;
• Paid sick leave;
• Complex lunches right in the office;
• Free English classes twice a week;
• Children's room with a teacher for children of company employees;
• Experienced colleagues willing to share knowledge;
• Regular performance and salary negotiations;
• Professional growth: variety of projects and technologies, mentoring;
• Corporate health insurance;
• Friendly atmosphere, concern for the comfort of specialists;
• Working trips to Denmark to exchange experience with colleagues (discussed individually);
• Ability to work in different projects, one or more at the same time;
• Easy rotation between projects;
• The office has a kitchen, shower, seating area;

ONLY 1−2 interviews (online and/or office)

EKTOS is a dynamically developing company that works with many different clients from all over the world in such areas as healthcare, finance, transport, agriculture, navigation, travel, banking, and many others.

We develop in C / C ++ for various microcontrollers and processors with and without an operating system and create ready-made working prototypes of devices with our departments.

Working at EKTOS will allow you to see projects from both hardware and software sides and get a high level of skill. We care about creating an informal, safe, and open environment in our offices and we offer a competitive salary.

Location: Romania

Job Description

The skills and qualifications required for this role:

• 2+ years of relevant technical experience.
• Strong experience in Web APIs: REST, SOAP, GraphQL, oAuth, pagination.
• Experience in data formats such as JSON, XML, CSV, etc.
• Strong knowledge of Postman, SOAP UI,…
• Knowledge of common network protocols: HTTPS, FTP, SMTP, etc.
• Experience with iPaaS platforms or ETL is a plus.
• Coding/scripting background, preferably in PHP (or willingness to learn PHP).
• Proficient in SQL queries and have a good understanding of relational data models.
• Strong communication skills
• Proven experience building strong relationships with stakeholders
• Knowledge of Qlik products (Qlik Sense, Qlik Talend Data Integration, ...) is a plus.

Key Responsibilities & Tasks

• Become an expert on Qlik Automate and other Qlik Sense products with a specific focus on connectivity.
• Maintain and improve our 80+ internal and external API connectors and help us grow our connector suite for enterprise customer use cases.
• Become an expert in Qlik’s APIs for products such as Qlik Sense, Qlik AutoMl, Qlik Talend Data Integration, Qlik Answers …
• Research external platforms (e.g. CRM systems like Salesforce, AI/ML platforms,…) and API documentation to design and implement the best connectivity approach.
• Perform manual and automated testing and write documentation for our connectors.
• Collaborate with other connector team members and help drive continuous improvement in the team.

• Coordinate closely with our stakeholders in product management and related development teams about delivery timelines and risks.

   

Department/Project Description

What makes us Qlik

Qlik helps enterprises around the world move faster, work smarter, and lead the way forward with an end-to-end solution for getting value out of data. A Gartner Magic Quadrant Leader for 15 years in a row! Our platform is the only one on the market that allows for open-ended, curiosity-driven exploration, giving everyone – at any skill level – the ability to make real discoveries that lead to real outcomes and transformative changes. We are a Values-Driven organization, operating in over 100 countries with 38,000 customers around the world. If you think we are interesting, please read on – we may be looking for you!

About the team

The Workflow Automation development team is looking for an Integration Engineer to join our Qlik Automate product development team. This role will specifically focus on connectivity development to external applications.

Qlik Automate plays a central role in automating and orchestrating inside Qlik Sense and allows customers to integrate seamlessly with 3rd party applications. We currently have a suite of 80+ internal and external connectors and plan on growing this in the future.

Keyskills - Must Have

• REST
• JSON
• Postman
• HTTPS and TLS/SSL

• SQL

   

Keyskills - Nice to Have

• Qlik products
• PHP
• SOAP
• SOAP UI
• oAuth
• XML
• GraphQL