Jobs

About the role
We’re hiring a Senior AI Engineer to design, develop, and deploy enterprise AI solutions including Agentic AI, intelligent automation, and predictive analytics, aligned with governance/security frameworks and business objectives.

What you’ll do

• Build AI/ML models (classification, prediction, NLP, computer vision) and optimize for performance/cost 
• Build LLM-based solutions (chatbots, copilots, automation agents) 
• Design and implement multi-agent architectures, orchestration logic, decision flows, and human-in-the-loop controls 
• Own data prep, feature engineering pipelines, training/fine-tuning/evaluation, and model lifecycle/versioning 
• Integrate AI into enterprise systems via APIs/microservices, including real-time inference services 
• Implement responsible AI practices (bias control, explainability, auditability) and secure AI pipelines/APIs (auth/authz) 
• Monitor production performance, logging/alerting, drift, and optimize latency/scalability 

Must-have

• 5+ years AI/ML engineering; production deployments; enterprise-scale AI systems/APIs 
• Hands-on LLMs/NLP or Computer Vision 
• Strong Python ML stack (TensorFlow/PyTorch/Scikit-learn) 
• LLM ecosystem experience (Azure OpenAI / OpenAI / Gemini / HuggingFace), embeddings/vector DBs 
• Agentic/orchestration frameworks (LangChain / Semantic Kernel / AutoGen; multi-agent frameworks; tool use) 
• Azure AI Services/Azure ML/Databricks + Docker/Kubernetes; REST/microservices, event-driven, APIM 

Authority / constraints

• Owns AI architecture/model development standards and Agentic AI implementation approaches 
• Cannot deploy without security/governance approval; cannot use external AI services without compliance validation 

Nice-to-have certs

• AI-102 preferred; DP-100 recommended

At WhiteTech, we empower businesses in the financial ecosystem with cutting-edge white-label and SAAS solutions.

Our comprehensive suite of tools is tailored for EMI, PSP, e-commerce, and open banking platforms. With WhiteTech, clients gain access to a platform designed for flexibility, scalability, and seamless integration.

Our mission is to help businesses unlock their full potential in a rapidly evolving financial landscape.

We are looking for a Project Manager who will take full ownership of the product lifecycle: from building and scaling a team and managing an MVP stage to delivering a full product release. You will be responsible for shaping the roadmap, hiring talent, working closely with UI/UX, and driving all operational tasks required to achieve business goals.

Your Key Responsibilities:

Team Formation & Leadership

• Build and scale the team according to product needs.
• Hire developers, designers, analysts, QA engineers, and other specialists.
• Create effective collaboration processes and foster a strong team culture.

Product Development

• Drive the product from MVP to a full-scale release.
• Define and maintain the Product Roadmap aligned with business goals and user needs.
• Approve and oversee UI/UX decisions throughout the development process.
• Conduct market and competitor research to support product decisions.

Process & Execution

• Define goals, success metrics, and key deliverables for the product.
• Plan, prioritize, and track milestones, ensuring on-time delivery.
• Apply Agile/Scrum methodologies to manage workflows.
• Maintain clear project documentation (Jira, Confluence, etc.).
• Handle operational tasks required to support and scale the product.

Stakeholder Management

• Collaborate with leadership (CTO, CPO, CEO) to align on product strategy.
• Lead regular meetings, sprint reviews, and retrospectives.
• Ensure transparent communication on progress, risks, and results.

Quality & Post-Launch Support

• Oversee product testing and quality assurance.
• Support the product after launch: gather feedback, plan improvements, and drive adoption.

Monitor performance metrics and continuously optimize the product.

Requirements & Skills:

• 5+ years of experience as a Project Manager in tech-driven companies.
• Proven experience building and leading teams.
• Hands-on experience taking products from MVP to launch.
• Strong understanding of SDLC and Agile practices.
• Background in business analysis, requirements gathering, and stakeholder management.
• Experience collaborating with UI/UX teams and validating design solutions.
• Ability to balance strategic vision with day-to-day operational tasks.
• Strong leadership, communication, and problem-solving skills.
• Industry expertise in SaaS.
• English proficiency: Upper-Intermediate.

Nice to Have:

• Experience managing distributed or remote teams.
• Technical background or software development experience.
• Certifications: PMI, PMP, Scrum Master, Product Owner.

We offer: 

• Competitive compensation package (commensurate with your experience)
• 19 business days of flexible Paid Time Off (PTO)
• Fully remote work with flexible hours (within the CET time zone) from any location of your choice
• Values-driven culture with a friendly and supportive work environment
• Opportunity to regularly participate in conferences and community events as both a participant and contributor
• Matrix organizational structure designed to streamline communication, remove barriers, and promote efficiency

About Forecasa

Forecasa is a profitable, founder‑led SaaS company that turns raw real‑estate transaction data into decision‑grade intelligence for hedge funds, private‑lenders, and MBS desks. We move fast, value autonomy with accountability, and maintain a culture where clear documentation beats hierarchy.

What you’ll do

• Engineer risk‑focused features (borrower, lender, property, geography)  in Python/PySpark.
• Develop and validate PD / LGD models using WoE, IV, logistic GBM, XGBoost, or similar.
• Prototype lender‑health metrics (capital‑diversification, portfolio turnover, market concentration, etc.) for client dashboards.
• Create robust, reproducible data pipelines (git‑versioned, unit‑tested, CI in GitLab).

• Produce concise notebooks & dashboards that can feed automated PDF reports.

   

Must‑have qualifications

• 4 – 6+ years in data science, risk analytics, or credit‑modeling.
• Strong Python (pandas, NumPy, scikit‑learn) and SQL; solid PySpark on distributed data a big plus.
• Hands‑on experience building or validating credit‑risk or fraud models (PD, scorecards, Basel/IFRS 9, etc.).
• Fluency in statistics (inferential tests, multicollinearity, model monitoring).
• Git workflow, code review discipline, and comfort with Agile/Kanban boards.
• Clear written & spoken English; able to summarize findings for non‑technical stakeholders.

Nice‑to‑haves

• Familiarity with U.S. mortgage or private‑lending data.
• Experience with Postgres, MinIO/S3, or dbt.
• Knowledge of BI/visualization tools (Plotly, PowerBI, Looker, etc).
• Prior work in a fully remote, internationally‑distributed team.

How we work

• Stack: Python • PySpark • PostgreSQL/Snowflake • GitLab CI • AWS & on‑prem Spark
• Communication: Slack, Zoom, Notion. Meetings kept lean; deliverables drive the schedule.
• Culture: Low‑ego, high‑ownership. We favor clarity, rapid feedback loops, and well‑documented processes.

We're looking for a sharp, curious, and driven Data Engineer to join Forecasa, a U.S.-based data startup delivering high-quality real estate data and analytics to lenders and investors.

You'll be part of our Data Acquisition & Quality team, helping scale and improve the systems that collect, validate, and monitor the data powering our platform. We've built serious AI-augmented development workflows internally - Claude Code, autonomous agents, GitLab-based orchestration - and we're looking for engineers who've already formed their own opinions about how to work effectively with these tools.

What You'll Do

• Develop and maintain Python-based web scrapers, using AI coding assistants to accelerate development while applying your judgment on reliability and edge cases
• Use tools like Selenium, BeautifulSoup, Pandas, and PySpark to extract and normalize data efficiently
• Package scrapers as Docker containers and deploy them to Kubernetes
• Create and manage Airflow DAGs to orchestrate scraping pipelines
• Build data validation pipelines to catch anomalies, missing values, and inconsistencies
• Review and refine AI-generated code for production reliability
• Set up Grafana dashboards to monitor pipeline health and data quality metrics

Our Tech Stack

Python · PySpark · Selenium · Airflow · Pandas · Postgres · S3 · Docker · Kubernetes · GitLab · Grafana · Claude Code

What We're Looking For

• Solid Python experience, especially building web scrapers
• Familiarity with Selenium, BeautifulSoup, or Scrapy
• Some experience with Docker, Airflow, or other orchestration tools
• Active use of AI coding tools (Claude Code, Cursor, Copilot, etc.) with opinions about what works and what doesn't - we want to hear about your preferred workflows
• Strong code review instincts - you can spot issues in code whether you wrote it or an AI did
• A resourceful, problem-solving mindset - not afraid to dig into a messy site or debug a flaky scraper

Bonus Points For

• Experience with Grafana or Prometheus for monitoring
• Exposure to cloud platforms (AWS preferred) and managing scrapers at scale
• Familiarity with CI/CD and Git workflows (we use GitLab)

About Us

Forecasa delivers enriched real estate transaction data to private lenders and institutional investors. We're a small, fast-moving team with a strong engineering culture. We've invested heavily in AI-augmented development - autonomous coding agents, GitLab orchestration - and we're looking for people who are already bought in on this direction, not people we need to convince.

Location

Remote – we welcome candidates from anywhere in the world.

To Apply

Tell us about your current AI coding workflow - what tools you use, what you've learned, what you'd do differently. Generic applications without this will be deprioritized.

Company Overview

BeomyTech is a dynamic technology company based in Israel, focused on the development of innovative solutions. Our projects require rapid prototyping, a high degree of flexibility in adopting new technologies, and the integration of artificial intelligence throughout the software development lifecycle.
 

Role Overview

We are seeking an experienced Full-Stack Engineer to work on end-to-end product development in an English-speaking team. The role involves building modern web applications and contributing to advanced AI-driven systems.

Technology Stack

• Frontend: Next.js, React, TypeScript
• Backend: Node.js, PostgreSQL, Drizzle ORM

• AI: LangChain, LangGraph, RAG, AI agents, vector databases

   

Requirements

• 5+ years of experience in full-stack product development
• Strong expertise in modern web technologies and backend systems
• Excellent English
• Proven experience working in an English-speaking team
• Ability to learn quickly, work autonomously, and maintain a high level of attention to detail

Get to know us

Ideals is a global B2B SaaS product company recognized as the most highly rated and customer-centric brand in the secure business collaboration market. Trusted by over 2,000,000 users from 300,000 companies globally, we help people run high-stakes processes and make important decisions with less stress, higher quality, and shorter hours.

Ideals Virtual Data Room (VDR): Secure document sharing and collaboration for due diligence, fundraising, corporate reporting, licensing, clinical trials, and other complex transactions.

Ideals Board: Board and leadership collaboration platform for faster, safer, and more compliant decision-making.

The role

As a Frontend Tech Lead (React), you’ll be a hands-on technical leader in a cross-functional product team building the Ideals Board. You will lead by example in engineering craftsmanship: owning frontend architecture decisions, raising delivery quality, and helping the team move faster with confidence.

What you will do

• Own frontend technical direction for a key area of Ideals Board: architecture, patterns, and long-term maintainability
• Make the design system work properly in real product development: ensure consistency, improve developer experience, and close gaps between design and implementation
• Lead redesigns of key product parts end-to-end (technical + UX): help shape solutions with Product Design and deliver robust implementations
• Raise quality ownership across the team: testing strategy, code review culture, definition of done, and proactive refactoring where it matters
• Drive technical design: write and review technical solutions, identify risks early, and align the team on implementation approaches
• Be a strong hands-on contributor: deliver features, tackle complex tasks, debug production issues, and improve performance and reliability
• Mentor and multiply: coach frontend engineers, share best practices, and grow overall team expertise and collaboration
• Collaborate closely with Product managers, Designers, Backend, QA, and DevOps Engineers to ensure smooth delivery and a great user experience

What you bring

• 6+ years of strong hands-on experience building production web applications with React + TypeScript
• Proven ability to lead technical design: decomposition, trade-offs, and aligning stakeholders on a clear approach
• Experience building or scaling design systems/component libraries, and enforcing consistency in a real product
• Strong engineering fundamentals: maintainability, performance, accessibility, security-minded UI development, and pragmatic quality practices
• Confidence with modern frontend tooling and delivery: testing (unit/integration/e2e), CI/CD, observability, and effective debugging
• Leadership through influence: mentoring, constructive feedback, driving alignment, and creating clarity in ambiguous areas
• A quality mindset: you care about outcomes, user impact, and leaving systems better than you found them

• English at the B2 level

   

Nice to have

• Experience with B2B SaaS products and high-trust environments (security/compliance-sensitive workflows)
• Familiarity with a broader stack and ecosystem (e.g., AWS/Kubernetes, backend integration patterns, API design collaboration)
• Experience running frontend initiatives that span multiple teams (shared components, platform improvements, standards)

What we offer

We highly value our people, so we will empower you with all the resources and support to help you reach your full potential.

For your best work

• Remote-first flexibility to shape your ideal workday
• Home workplace budget
• Resilient home budget for Ukraine-based teammates
• Resilient office in Kyiv & co-working expense coverage
• Individual IT budget for extra equipment
• Top-tier tech and AI-powered tools

For your growth

• Access to Ideals Academy with numerous courses
• Investment in external learning and development activities
• Guidance in Personal Development Plan creation
• Professional literature and subscriptions coverage
• Support of your passion as a speaker or writer
• Internal talent mobility opportunities

For your well-being

• Medical insurance and Wellness Package for sports activities
• Full coverage of mental health sessions for Ukrainian teammates
• Funding for sports competitions
• 20 business days of paid time off per year
• Unlimited health-related time-off

Extra perks

• Budget for meetups with your local team
• Generous internal referral program

Our culture

Commitment, Excellence, Collaboration, Trust and Care are core values to the Ideals team. For us, these are the principles that every Idealer lives and breathes. We are on the lookout for like-minded individuals who share our values. By doing so, we create a team where talents feel at ease and work to the best of their abilities.

Discover more.

Ideals is an equal opportunity employer

Ideals is made up of people from a wide variety of backgrounds and lifestyles. We embrace diversity and invite applications from people from all walks of life. We don’t discriminate against employees or applicants based on gender identity or expression, sexual orientation, race, religion, age, national origin, or citizenship.

Position: BDR (Business Development Representative)

About the Role

We are looking for a BDR with a primary focus on lead generation. Your key responsibility will be to identify and nurture potential clients, with further handoff to the BDM team.

Key Responsibilities

• Cold outreach via LinkedIn, messengers, and other channels
• Daily active communication (20–30 messages)
• Working with lead generation tools
• Recording, processing, and structuring incoming responses
• Transferring warmed-up and qualified leads to the BDM team

KPI

• 3–5 qualified leads per month

Requirements

• Strong English (mandatory)
• Basic experience in lead generation / digital / IT (a plus)
• Structured approach and ability to work with data
• High level of proactivity and initiative

Soft Skills

• Ambition and growth mindset
• Readiness for routine work and handling repetitive tasks
• Teamwork skills
• стресс resilience and understanding that results take time

Hiring Process

• 2 interview stages + test assignment

Career Growth

• Opportunity to transition to BDM
• Realistic timeline: from 6 months with strong performance
• Requirements: KPI achievement + proactive development (participation in meetings, learning)

Candidate Locations

We consider candidates from:

• Europe (including expats)
• Georgia, Armenia
• Asia (Thailand, Vietnam, Indonesia, Singapore, etc.)

Languages

• English – mandatory
• Russian – preferred but not required

Nice to Have

• Knowledge of Asian languages (Bahasa, Vietnamese, Thai, Japanese, Korean)
• Experience in international sales (Tier-1, APAC)
• Experience in building sales funnels
• Participation in conferences
• Existing client base

Compensation

• Junior: from $1500+
• Middle: from $2000+
• Lead-based bonuses (KPI-based)

Additional

We also consider strong BDM-level candidates with international sales experience and an established client base.

Who we are:

Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries.

About the Product:
The product is a cloud-based enterprise platform that helps organizations monitor, analyze, and automate the performance of digital workplaces and internal IT environments in real-time. A key part of the platform is an automation and integrations layer that allows organizations to orchestrate actions across different systems and significantly reduce manual operational work.

About the Role:
We are looking for a Senior Python Engineer with React experience with a strong backend focus to join a distributed engineering team. In this role, you will design and develop backend services that power integrations, automation workflows, and data processing pipelines. 

Your primary focus will be backend development (~90%), including API design, system integrations, and performance improvements. You will also occasionally support small UI tasks using React and TypeScript, mainly to maintain existing components when needed.

Key Responsibilities:

• Design, implement, and maintain Python-based REST APIs and backend services using FastAPI and AsyncIO.
• Integrate with external systems (cloud providers, identity platforms, ITSM tools) via HTTP/REST interfaces.
• Manage data persistence and caching with Postgres and Redis, ensuring performance and reliability.
• Collaborate on microservices architecture, contributing to code reviews and design discussions.
• Perform root-cause analysis and debugging of production issues to maintain high service availability.
• Support some front-end tasks in ReactJS and TypeScript
• Work with DevOps and infrastructure teams on cloud-based deployments and system design.
• Leverage AI-assisted development tools to improve code quality and productivity.

Required Competence and Skills:

• 6+ years of professional experience in software development, with a focus on Python.
• Strong understanding of computer science fundamentals, algorithms, and data structures.
• Proficiency with Postgres and Redis for data storage and caching.
• Experience deploying and operating services on Azure or another cloud platform.
• At least 6 months of experience with TypeScript and ReactJS for front-end maintenance tasks.
• In-depth knowledge of HTTP, REST API design, and OAuth protocols.
• Product-oriented mindset with experience collaborating directly with designers and stakeholders.
• Experience using AI-powered development tools (e.g., Copilot, Cursor) in daily workflow.

Nice to Have:

• Familiarity with Next.js for server-rendered React applications.
• Experience with Temporal or similar orchestration/workflow systems.
• Knowledge of message queue systems (Kafka, RabbitMQ) and event-driven architectures.

Why Us:

We provide 20 days of vacation leave per calendar year (plus official national holidays of a country you are based in).

We provide full accounting and legal support in all countries we operate.

We utilize a fully remote work model with a powerful workstation and co-working space in case you need it.

We offer a highly competitive package with yearly performance and compensation reviews.

We are looking for a Full-Stack Engineer to join our team and help build scalable systems and modern web applications that process and visualize large volumes of data.

In this role, you’ll work across both backend and frontend, collaborating closely with engineers and product teams to design performant APIs, data processing systems, and intuitive user interfaces.

This position is ideal for engineers who enjoy working with complex datasets, building scalable architectures, and delivering polished user experiences.

What You’ll Do

Backend

• Design and build scalable backend services and APIs
• Develop systems that process and manage large datasets
• Integrate backend services with external APIs and third-party platforms
• Ensure performance, reliability, and security of backend systems
• Collaborate with frontend engineers to design efficient API structures
• Maintain high code quality through testing and code reviews

Frontend

• Build responsive and accessible UI components
• Implement complex interfaces such as dashboards, tables, forms, and data views
• Integrate frontend applications with backend services
• Optimize performance and user experience

• Maintain quality through frontend testing and best practices

   

What We’re Looking For

Backend

• 4+ years of professional backend development experience
• Strong experience with Python or Node.js
• Experience designing and building REST APIs
• Solid understanding of relational databases and data modeling
• Experience with query optimization and large datasets
• Familiarity with asynchronous programming
• Experience with background jobs or task processing
• Familiarity with messaging systems or queues
• Experience integrating external APIs
• Experience with cloud platforms (AWS, GCP, or similar)
• Experience writing automated tests
• Experience collaborating in a team environment and reviewing code

Frontend

• 3+ years of experience with React
• Strong knowledge of JavaScript or TypeScript
• Experience building modern web applications
• Experience integrating frontend with backend APIs
• Experience with forms, tables, and complex UI components
• Understanding of responsive design and accessibility
• Experience with state management solutions
• Familiarity with frontend testing

Nice to Have

• Experience with AI or LLM integrations
• Experience with vector databases or search systems
• Experience processing documents or large structured datasets
• Experience with event-driven architectures
• Experience with Next.js or similar frameworks
• Experience optimizing large frontend applications
• Experience implementing real-time features (WebSockets, etc.)

• Experience with data visualization or dashboards

   

What We Offer

• Opportunity to work on diverse and technically challenging projects
• A supportive and collaborative engineering team
• 12 vacation days per year
• 5 sick days per year
• English classes
• Mental health support, including access to therapist and psychologist services

Хелоу, люба спільното \0/

Ми продовжуємо нарощувати команду американського Survey SaaS, що аналізує поведінку юзерів під час digital опитувань. По суті, це платформа, де бізнес може засетапити своє опитування та отримати швидкий результат, очищений від ботів + отримати advanced behavioural analytics від нашої моделі.

Вам сподобається, якщо ви:
- самодостатні та организовані.
- хочете автономію та відповідальність за свою ділянку.
- вам дійсно цікаво те, чим ви займаєтесь.

На цьому я дозволю перемкнутись на англійську, бо далі конкретніше.

About the role

Build and own ML models that predict survey respondent certainty and detect fraud from behavioral signals — mouse movement, click patterns, timing, browser/OS data. You'll be the sole ML engineer maintaining a production hybrid CNN+tabular certainty model (already in client deliverables) and building the new bot detection model. You'll work directly with a US-based AI scientist who provides strategic direction.
 

What you'll work on

• Improve the hybrid 1D CNN (mouse trajectories) + MLP (tabular features) certainty model — error analysis, hyperparameter tuning, augmentation, loss experiments 
• Build the bot detection classifier — binary human/bot model reusing behavioral pipeline infrastructure 
• Run segment-level evaluations — per-survey quality checks, precision/recall optimization, calibration analysis 
• Track experiments in MLflow — every run logged with parameters, metrics, dataset versions 
• Process raw time-series — mouse trajectories as [T, 7] tensors (x, y, speed, acceleration, dt, dx, dy) 
• Document to audit standard — code, dataframes, notebooks, reproducible results with artifact links
   

What we're looking for

• Strong PyTorch — built and trained CNNs from scratch, not just fine-tuned 
• Tabular ML experience — LightGBM, XGBoost, or gradient boosted trees 
• Rigorous evaluation mindset — calibration, segment analysis, label quality, beyond single-metric optimization 
• Time-series/sequence data experience — temporal patterns in any domain (NLP, audio, sensors, clickstream) 
• Imbalanced classification expertise — precision/recall tradeoffs, threshold tuning, AUC-ROC 
• MLflow or similar (W&B, Neptune) 
• Self-directed — you're the only ML person on execution, strategic guidance from US AI scientist 
• Auditable work — advisor reviews regularly, notebooks/scripts must be clean
• Clean verbal English
   

Nice to have

Behavioral/clickstream analysis • time-series augmentation • fraud/anomaly detection • model serving • survey methodology/psychometrics
 

Stack

Python • PyTorch • LightGBM • MLflow • HDF5 • PostgreSQL
 

What this is NOT LLM/GenAI role, but classical ML + deep learning on structured behavioral data 

The Team

• Product Manager
• 2x Fullstack Devs
• Anti-Fraud Automation QA
• DevOps
   

We offer

• 15 paid day-offs per year.
• 10 US/UA holidays.
• Flexible schedule and fully remote work from anywhere with reliable overlap to CET.
• Senior team members and strong AI Scientist Advisor.
• Minimal bureaucracy, high authonomy and trust, fast decisions.

BigD is a rapidly expanding iGaming product company. We are currently looking for a People Partner to help us not only manage HR processes, but also focus on what matters most: staff retention, team development and a healthy workplace culture.
In this role, you will work closely with managers and teams, helping them build effective collaboration, boost employee engagement and reduce staff turnover. We are looking for an HR professional who thinks like a business partner, enjoys working with people and wants to influence processes, rather than just support them.
This is a great opportunity for a People Partner / HR Generalist who already has experience in retention or engagement and wants to develop within a product-focused environment.

Key responsibilities:
• Partnering with teams and managers on people management issues
• Working on employee retention and retaining key staff
• Conducting one-to-one meetings, stay interviews and exit interviews
• Supporting employees throughout their entire lifecycle within the company
• Fostering and developing engagement and corporate culture
• Advising managers on motivation, development and team management
• Analysing HR data and identifying opportunities to improve processes
• Participating in the launch and development of HR initiatives and internal programmes

Essential professional experience:
• At least 3 years’ experience as a People Partner / HR Business Partner / HR Generalist in the iGaming sector
• Experience with retention or engagement initiatives
• Understanding of the HR lifecycle
• Ability to work in a fast-paced environment
• Strong communication and empathy skills
• English at a level sufficient for business communication

Working conditions:
 

• Direct communication with the core TEAM
• 28 calendar days of vacation
• Paid sick leave
• Sports compensation
• Compensation for courses and training
• Day off for birthday
• Flexible work schedule
• Regular salary reviews
• Salary paid at a favorable rate
• Non-toxic work environment, free of bureaucracy
• Stable salary payment

Join a fast-growing team at the forefront of the iGaming industry, where your expertise will directly contribute to the company's growth and success.

BigD are seeking a proactive and motivated Machine Learning Engineer to join our vibrant team. As an ML Engineer, you will play a crucial role in designing, developing, and deploying scalable machine learning models, optimizing model performance, and bridging the gap between data science research and production environments. We are interested in a full-time position.

We invite those who are fired up to

— Design, train, and deploy ML models into production environments

— Optimize model performance, scalability, and latency for high-load services

— Develop and maintain ML pipelines (data ingestion, feature engineering, training, and evaluation)

— Implement MLOps practices to streamline model deployment, monitoring, and retraining

— Collaborate with Data Engineers to ensure high-quality data pipelines and feature stores

— Explore new ML techniques and frameworks to solve complex business problems

— Maintain comprehensive documentation for models, experiments, and production infrastructure

Essential professional experience

— 2+ years of professional experience in an ML Engineer or Data Scientist role with a focus on production systems

— Proficiency in Python and deep understanding of core ML libraries (e.g., Scikit-learn, Pandas, NumPy)

— Hands-on experience with deep learning frameworks (e.g., PyTorch or TensorFlow)

— Experience with production deployment of ML models (FastAPI, Flask, or similar)

— Strong experience with MLOps tools and workflow orchestration (e.g., MLflow, Airflow, Kubeflow)

— Solid knowledge of SQL and experience working with relational databases and data warehouses (PostgreSQL, AWS, etc.)

— Proficiency in containerization and cloud orchestration (Docker, Kubernetes, AWS/GCP/Azure)

— Strong foundation in statistics, probability, linear algebra, and machine learning theory

We also appreciate

— Self-motivated with a strong ownership mentality and ability to deliver results independently

— Excellent problem-solving skills and attention to detail

— Ability to translate business requirements into technical ML solutions

— Strong communication skills for cross-functional collaboration with product and engineering teams

Working conditions:

• Direct communication with the core TEAM
• 28 calendar days of vacation
• Paid sick leave
• Sports compensation
• Compensation for courses and training
• Day off for birthday
• Flexible work schedule
• Regular salary reviews
• Salary paid at a favorable rate
• Non-toxic work environment, free of bureaucracy

• Stable salary payment

   

Join a fast-growing team at the forefront of the iGaming industry, where your expertise will directly contribute to the company's growth and success.

Requirements 

Experience 

• 5+ years of software development experience
• Strong expertise in Golang and building production-grade backend systems. 

Architecture & Systems 

• Solid understanding of microservices and distributed systems (concurrency, messaging, event-driven design). 
• Proven experience designing and supporting high-load systems. 

Cloud & Databases 

• Hands-on experience with AWS (EC2, S3, RDS, Lambda, API Gateway). 
• Advanced PostgreSQL skills, including query optimization, indexing, and replication. 

Containers & DevOps 

• Strong experience with Docker and Kubernetes. 
• Understanding of CI/CD pipelines and Infrastructure as Code concepts. 

Leadership & Soft Skills  

• Excellent communication and collaboration skills. 
• English: Upper-Intermediate or higher. 
• Proactive, ownership-driven, and results-oriented mindset. 

Nice to Have 

• Experience with high-traffic or mission-critical systems. 
• Knowledge of Redis, Kafka, RabbitMQ, MongoDB, or similar technologies. 
• Experience with Terraform or CloudFormation. 
• Background in healthcare or pharmaceutical software. 
• Familiarity with security standards and compliance (GDPR, HIPAA). 

Responsibilities: 

• Design & Develop: Build robust backend services and RESTful APIs in Golang to power our cloud-based CRM system, ensuring high performance and scalability. 
• Microservices Architecture:Implement and maintain an event-driven microservices architecture, including inter-service communication and data pipelines. 
• Database & Optimization: Work extensively with PostgreSQL(complex queries, indexing, performance tuning) to handle large volumes of data efficiently. 
• DevOps Collaboration:Collaborate with DevOps engineers to deploy and operate services using Docker, Kubernetes, Terraform, and AWS (EC2, S3, RDS, Lambda, etc.), following CI/CD best practices. 
• Code Quality:Ensure high code quality by writing unit/integration tests and participating in code reviews, following best practices for maintainability and security. 
• Team Collaboration:Work closely with front-end developers, QA, and product managers in an Agile environment to deliver features from concept to production, and troubleshoot issues in a timely manner. 

We Offer 

• Competitive Compensation with regular reviews and performance-based bonuses. 
• 100% Remote & Flexible Work schedule. 
• Paid Time Off: 24 working days of paid vacation, plus paid sick leave and public holidays. 
• Great Team & Culture: an international team with open communication, no micromanagement, and a strong focus on innovation and growth. 

About GoViral

GoViral is a performance-driven content agency for e-commerce brands in the Netherlands, DACH region, UK, and US. We help DTC brands grow with ads that don’t feel like ads, but convert like crazy. We’re a small (16) and ambitious remote team of strategists, creators, editors, and designers. Everything we do is about quality, speed, and ownership.

We’re growing fast, which is why we’re looking for a Creative Strategist who can turn research into winning ad concepts. Someone who thrives on data, creative ideas, and scripts that drive performance. Not just a thinker, but a doer who owns the creative process end-to-end.

Mission of this role

We have an exciting opportunity for someone who loves turning insights into ads that perform. In this role, you are responsible for researching, scripting, and validating ad concepts across multiple markets. You make sure that at least 10% of your ads are winners (hitting client KPIs with €1K+ spend).

You’ll work closely with Project Managers, Editors, and Creators. You don’t have to speak to clients, we’ve got PMs for that, but you own the process from research to final ad review.

Your responsibilities

Creative Research & Ideation

• Research competitors, trends, and best-performing ads to fuel new concepts
• Translate insights into ad frameworks and creative directions

Scriptwriting & Creative Development

• Write scripts for UGC-style ads (EN, NL, DACH, with translators where needed)
• Approve or reject creators sourced by the team based on fit with scripts
• Review final edits to ensure quality and strategy alignment

Data & Performance Analysis

• Analyze ad account data and spot patterns for new creative directions
• Work with PMs to track performance and iterate on concepts
• Document learnings to improve the team’s overall hit rate

Process & Collaboration

• Use Asana, Notion, Slack, and Drive to manage all work
• Communicate proactively and keep the team aligned
• Continuously suggest better processes for faster and higher-quality output

What we’re looking for

• Minimum 1 year experience as Creative Strategist, Copywriter, or UGC Ad Scriptwriter
• Proven track record of writing ad scripts that spend €40K+ (preferably in e-commerce)
• Strong data analysis skills: can turn numbers into creative insights
• Fluent in English (spoken + written) — other languages are a plus
• Growth mindset, speed, ownership, problem-solving, proactive communication
• Comfortable working remotely with international teams
• Bonus: experience with Meta Ads Manager or multi-market ads

What you can expect from us

• Work with A-players in a fast-growing remote team
• Opportunity to grow with an agency that aims to double in 12 months
• Direct impact on creative quality and client success
• A culture where quality always comes before convenience
• Full-time job (40hr/week)
• Remote-first setup, with the option to join in-person sessions in Eindhoven (NL)
• Books, courses, and learning materials covered

While we aim to reply to all applicants, the high volume of applications may prevent us from doing so. If you haven’t heard from us within 2 weeks, please assume you haven’t been selected.

Domain: iGaming / Gambling
Format: Product company
Experience: 5+ years

About the Company

We are an international product company operating in the gambling sector. Our platform delivers real-time personalization for casino and sportsbook products using advanced machine learning. The solution processes live behavioral, transactional, and contextual data to improve player engagement, retention, and overall performance for operators worldwide.

Our focus is on building production-grade ML systems that directly influence what users see in real time — from game recommendations to personalized content and promotions.

Role Overview

We are looking for a Senior Data Scientist to join a product-focused team working on real-time personalization and recommendation systems for iGaming platforms.

This is a hands-on role that combines modeling, experimentation, and close collaboration with engineering and product teams in a high-load, real-time production environment.

Main Responsibilities

• Develop ML-driven features for casino products using supervised learning (regression, ranking, classification)
• Maintain and improve existing recommendation systems in production
• Enhance models using gradient boosting and other supervised approaches
• Perform data cleaning, preprocessing, and feature engineering
• Design and maintain pre- and post-processing workflows
• Optimize training and inference pipelines for performance and reliability
• Integrate ML models into Airflow pipelines in a multi-tenant environment
• Adapt and configure the solution for different clients (tenants)
• Collaborate closely with product and engineering teams on experimentation and feature delivery

As Part of the Team You Will

• Work cross-functionally with data scientists, engineers, product owners, designers, and researchers
• Analyze large-scale datasets to extract insights for product and business decisions
• Propose, implement, and evaluate ML approaches to solve real business problems
• Support and evolve a recommendation solution used across multiple tenants
• Influence product strategy through research, experimentation, and data-driven insights into user behavior

Experience & Education

• 5+ years of professional experience in data science
• Degree in a quantitative field (Mathematics, Statistics, Computer Science, or similar)

Core Skills

• Strong proficiency in Python and SQL
• Hands-on experience with data processing tools (Pandas, Polars)
• Solid engineering skills for building and maintaining scalable ML systems
• Experience implementing observability in ML pipelines (metrics, logging, alerting)
• Knowledge of Docker and Kubernetes
• Strong analytical mindset with the ability to solve loosely defined problems
• Hands-on experience with supervised ML techniques, including:
  • Regression and ranking models (XGBoost, LightGBM, CatBoost, neural networks)
  • Feature engineering and model evaluation (AUC, NDCG, MSE, uplift metrics)
  • Personalization or recommendation systems
• Proven experience deploying ML models to production (near real-time or batch)
• Solid understanding of statistical methods (A/B testing, significance testing)

Nice to Have

• Production experience with large-scale recommendation systems
• Experience with Airflow, Valkey/Redis, FastAPI in production
• Familiarity with contextual bandits or reinforcement learning
• Experience with AutoML tools