Jobs Data & Analytics

Bulls Media is looking to hire a strong BI developer and data analyst.

The role involves both data analytic and technical skills : gathering data , developing tools and dashboards,  evaluating data and sharing findings that affect business decisions. 

Responsibilities:

• Working with different company departments and setting business requirements for BI tools
• Translating business requirements into technical ones
• Suggesting technical options to meet the requirements and creating an BI architecture. Providing time estimation
• Leading and executing BI software development, deployment, and maintenance: 
  • Creating Power BI reports based on client requirements 
  • Taking data from different data sources : databases, internal and external API, google sheets and more
  • Developing different visualization levels and dashboards
  • Maintaining and optimizing existing reports
  • Ensuring data correctness
  • Testing reports of other BI developers
• Creating technical documentation for BI tools
• Evaluating data, collating findings relevant to the business, and sharing them in a manner that can bring about an effective change in a business:
  • Breaking down key business data: gather, clean, and analyze data
  • Interpreting the data: Find patterns or see areas in the data that signal a potential for improvement in business practices
  • Sharing findings:visualizing data in graphs and charts, recommendations to improve or grow the business based on their findings.

Required Skills/Abilities:

• At least 2 year experience in a BI developer & data Analyst role
• Experience with PowerBI including a good knowledge of DAX
• Deep knowledge of SQL Databases and SQL script optimisation
• Good knowledge of excel / Google sheet (formulas)
• Basic knowledge of Python
• Non relational database - advantage
• Advanced analysis and problem solving skills
• Attention to detail
• The ability to work both as a team player and independently
• Ability to multitask in a fast-paced environment
• Self learning abilities

What We Offer:

• 21 days of paid Leave per year.
• 7 days of sick Leave annually.
• English-speaking Clubs.
• Corporate Events and team buildings.
• Long term cooperation.
• Performance review once a year
• Health insurance.
• All necessary technical equipment provided.
• 4 days work on-site in comfortable office and 1 day fully remote.

Steps of the hiring process:

• Recruitment interview.
• Technical interview.
• Test task.
• Final interview with CTO.

Bulls Media is looking to hire a strong BI developer and data analyst.

The role involves both data analytic and technical skills : gathering data , developing tools and dashboards,  evaluating data and sharing findings that affect business decisions. 

Responsibilities:

• Working with different company departments and setting business requirements for BI tools
• Translating business requirements into technical ones
• Suggesting technical options to meet the requirements and creating an BI architecture. Providing time estimation
• Leading and executing BI software development, deployment, and maintenance: 
  • Creating Power BI reports based on client requirements 
  • Taking data from different data sources : databases, internal and external API, google sheets and more
  • Developing different visualization levels and dashboards
  • Maintaining and optimizing existing reports
  • Ensuring data correctness
  • Testing reports of other BI developers
• Creating technical documentation for BI tools
• Evaluating data, collating findings relevant to the business, and sharing them in a manner that can bring about an effective change in a business:
  • Breaking down key business data: gather, clean, and analyze data
  • Interpreting the data: Find patterns or see areas in the data that signal a potential for improvement in business practices
  • Sharing findings:visualizing data in graphs and charts, recommendations to improve or grow the business based on their findings.

Required Skills/Abilities:

• At least 2 year experience in a BI developer & data Analyst role
• Experience with PowerBI including a good knowledge of DAX
• Deep knowledge of SQL Databases and SQL script optimisation
• Good knowledge of excel / Google sheet (formulas)
• Basic knowledge of Python
• Non relational database - advantage
• Advanced analysis and problem solving skills
• Attention to detail
• The ability to work both as a team player and independently
• Ability to multitask in a fast-paced environment
• Self learning abilities

What We Offer:

• 21 days of paid Leave per year.
• 7 days of sick Leave annually.
• English-speaking Clubs.
• Corporate Events and team buildings.
• Long term cooperation.
• Performance review once a year
• Health insurance.
• All necessary technical equipment provided.
• 4 days work on-site in comfortable office and 1 day fully remote.

Steps of the hiring process:

• Recruitment interview.
• Technical interview.
• Test task.
• Final interview with CTO.

Client

Our client is a large international manufacturing company listed in the S&P 500 and operating within a complex, multi‑site global environment. As part of a Data Strategy Development initiative, the organization is working to define a clear, pragmatic, and scalable data strategy aimed at improving decision‑making, reducing manual processes, strengthening data ownership, and laying a solid foundation for future analytics and digital transformation. The engagement is currently focused on strategy definition and is expected to progress into platform and analytics implementation phases.

Position overview

The Senior Data Engineer supports the Data Solutions Architect during the strategy phase by validating technical assumptions and assessing the feasibility of the proposed data architecture. The role focuses on hands-on analysis of existing data assets, data pipelines, and data quality, as well as targeted proofs of concept to reduce technical and delivery risk without full production implementation.

Responsibilities

• Review and inventory existing data assets across enterprise and operational systems
• Assess data quality and availability for priority business and analytics use cases
• Validate feasibility of proposed data architecture and integration approaches
• Analyze data sourcing options from ERP, manufacturing, logistics, and BI systems
• Identify technical complexity, risks, and mitigation options
• Develop lightweight proofs of concept to validate data availability or transformation approaches
• Provide technical inputs into the implementation roadmap and sequencing

Requirements

• 5+ years of experience in data engineering within analytics-focused environments
• Hands-on expertise with Azure and Snowflake ecosystems
• Experience assessing existing data pipelines and data quality challenges
• Strong understanding of data integration, transformation, and modeling concepts
• Ability to balance hands-on technical work with strategic architecture validation
• Experience working closely with architects and strategy teams

Nice to have

• Experience in manufacturing or industrial data environments
• Familiarity with SAP ECC / SAP BW, ERP, and operational systems
• Experience with Power BI datasets, Qlik Sense, Alteryx, ExQL
• Experience contributing to strategy-phase or pre-implementation initiatives

Client

Our client is a large international manufacturing company listed in the S&P 500, operating a complex, multi-site global environment. As part of a Data Strategy Development initiative, the organization is defining a clear, pragmatic, and scalable data strategy to improve decision-making, reduce manual processes, strengthen data ownership, and establish a strong foundation for future analytics and digital transformation. The engagement focuses on strategy definition and is expected to continue into platform and analytics implementation phases.

Position overview

The Data Solutions Consultant provides strategic oversight and expert advisory support throughout the Data Strategy engagement. The role ensures alignment with industry best practices, modern data and analytics trends, and proven transformation frameworks.

This position acts as a senior expert advisor across architecture, governance, operating model, and value realization topics validating strategic decisions, challenging assumptions, and guiding the team and client stakeholders on complex data transformation questions.

Responsibilities

• Provide strategic oversight across all Data Strategy workstreams (business, technology, governance, operations)
• Ensure alignment of the data strategy with industry best practices and modern data & analytics trends
• Advise on complex data governance and operating model design challenges
• Validate current-state assessment findings and strategic conclusions
• Review and challenge proposed architecture, governance, and operating model approaches
• Validate use case prioritization and value realization logic
• Advise on change management and adoption approaches for enterprise data programs
• Support risk identification and mitigation at strategy and model design level
• Contribute to and shape executive-level Data Strategy messaging and narrative
• Provide expert input into strategic principles, guardrails, and decision frameworks

Requirements

• Extensive experience in data strategy, data governance, and analytics transformation programs
• Proven advisory or consulting background in enterprise data initiatives
• Strong knowledge of industry best practices and data transformation frameworks
• Experience advising senior and executive-level stakeholders
• Ability to evaluate and validate strategic solution approaches across multiple domains
• Strong strategic thinking and structured problem-solving skills
• Experience with enterprise-scale data and analytics operating models

Nice to have

• Experience in manufacturing or industrial enterprise environments
• Background in large-scale data or digital transformation programs
• Familiarity with Azure, Snowflake, and modern cloud data platforms
• Experience contributing to executive-level strategy reports and board-level materials
• Consulting or principal-level advisory experience in global organizations

About the Role

We are looking for a Senior Business Analyst with 7+ years of experience and a strong background in life sciences, healthcare, or other regulated industries.

You will lead requirements gathering, process analysis, and stakeholder alignment for complex regulated data systems (including Veeva Vault environments). Your work will ensure business needs are clearly documented and translated into actionable technical requirements while maintaining full regulatory compliance.

This role requires strong analytical thinking, regulatory knowledge, and exceptional communication skills to effectively bridge business and technical teams.

Key Responsibilities

🔹 Requirements Gathering & Analysis

• Elicit, document, and validate business requirements for regulated systems (Veeva Vault, RIM, Clinical, QA, etc.)
• Analyze current business processes, identify gaps, and recommend improvements
• Define functional specifications, workflows, use cases, and acceptance criteria
• Ensure complete traceability between requirements and system implementation

🔹 Data & Reporting Oversight

• Collaborate with data engineering teams on data extraction, transformation, and loading (ETL)
• Maintain metadata and ensure downstream analytics traceability
• Support creation of dashboards, reports, and KPIs for data-driven decision-making

🔹 Stakeholder Communication & Collaboration

• Act as the primary liaison between business stakeholders, technical teams, and compliance officers
• Facilitate workshops, meetings, and alignment sessions
• Clearly communicate changes while ensuring regulatory and business standards are met

🔹 Governance & Compliance

• Ensure all documented requirements meet regulatory standards
• Support audit preparation and documentation
• Maintain compliance traceability across systems and data workflows

Required Experience & Skills

•  7+ years of Business Analysis experience
• Mandatory experience in life sciences, healthcare, or other regulated industries
•  Strong experience with regulated document management systems (preferably Veeva Vault)
•  Excellent English communication skills (C1–C2)
• Strong analytical, documentation, and problem-solving skills
• Ability to work remotely with EST overlap

Nice to Have:

• Experience with data pipelines, metadata management, and analytics workflows

What We Offer

• Opportunity to lead business analysis efforts for critical regulated data systems
• Collaboration with global teams
• High-impact work in a compliance-driven environment
• Competitive B2B compensation ($4,500–$5,500 gross)
• 10 public holidays per year
• Remote work flexibility

Position Type: Full-time, Remote

This role involves support/creation of web scraping configurations, that are running on our engine and are based on regular expressions. You will work with server logs, HTTP requests, regexp tools, spreadsheets, and big structured and unstructured files. This role combines tech duties and project coordination duties in the future. See more https://www.webspidermount.com/jobmarketpulse/

Skills to succeed in this role are:

1. HARD SKILLS

• General knowledge of web technologies such as HTML, JavaScript, FTP, SFTP, XML, JSON, CSV, APIs.

• Regular expressions.

• Experience with web scraping tools and frameworks, such as Scrapy, BeautifulSoup, Selenium, etc

• Proficiency in Excel/Google Spreadsheets.

• Optional: XSLT templates, Velocity templates.

2. SOFT SKILLS:

• Proactivity and responsibility, attention to detail.

• Ability to create the work process

• Experience in team coordination

• Ability to work not only according to instructions but to create them for yourself

• English language - Intermediate (read and write without vocabulary)

3. DUTIES & RESPONSIBILITIES:

• Setting up new crawling robots using our own system, based on regular expressions

• Monitoring and improvement of existing crawling robots

• Making sure data is collected and provided correctly

• Communicating with clients via tickets

• Communication with team

• Solving not typical working issues

4. WORK SCHEDULE

• Work remotely from home

• Full time

• Target work schedule is 10:00-19:00 (GMT+2), flexible schedule allowed

WHAT WE OFFER

A competitive compensation package includes:

- wage and periodic reviews

- yearly bonus

- health support bonus

- performance-based growth opportunities

- paid vacation and sick leaves

- hardware

Online and offline test are will be provided after first interview

Please, apply with CV in English

salary $800-1200 gross per month, depends on skills

We are building the next generation of AI Agentic Marketing Solutions specifically for the Game Development industry. We don’t just build simple chatbots; we build autonomous agents that plan, execute, and optimize User Acquisition (UA) and marketing campaigns for gaming studios.

We already have our technical leadership in place. Now, we are looking for a highly autonomous Senior Engineer who loves "getting their hands dirty" with complex agentic logic and scaling our AI platform.

The Role: Builder First

This position is for those who are passionate about coding and want to remain in a technical, individual contributor role. We need a "crafter" who enjoys diving into agent architectures, optimizing RAG pipelines, and writing high-performance code without the distraction of people management or "ivory tower" meetings.

Our Stack: Python (FastAPI, AsyncIO), LangChain / LangGraph, Redis, PostgreSQL, AWS.

Key Responsibilities

• Develop AI Agents: Design and implement complex, stateful workflows using LangGraph.
• Hands-on Engineering: Serve as a primary contributor to the core Python codebase. We expect daily commits and rapid iteration.
• Production-Grade AI: Work on agent reliability, mitigate hallucinations, manage agent memory systems, and build robust evaluation loops.
• Integrations: Connect AI agents with gaming metrics, store APIs (App Store/Google Play), and ad platform dashboards.
• Performance Tuning: Optimize LLM usage for latency and cost-efficiency.

Requirements

• Python Mastery: 5+ years of professional experience in Python. Deep expertise in AsyncIO, Pydantic, and FastAPI.
• AI/LLM Expertise: Proven experience with LangChain or LangGraph (essential). You understand the transition from simple prompts to complex, autonomous agentic reasoning.
• Solid Engineering Foundation: Strong knowledge of architectural patterns, event-driven systems (NATS/Kafka), and Vector Databases (Pinecone, Weaviate, etc.).
• Startup DNA: You prefer "shipping today" over "perfecting tomorrow." You thrive in a fast-paced environment where speed is a core feature.
• GameDev Interest: A genuine interest in the gaming industry and its KPIs (LTV, ROAS, Retention).

What We Offer

• Focus on Code: Minimal bureaucracy. Your time is spent solving hard technical problems, not in management meetings.
• High Impact: Your code directly defines the "intelligence" of our marketing agents.
• Elite Team: Work alongside a Technical Lead and other senior experts who value excellence and relentless improvement.
• High Reward for High Performance: Competitive salary + Advanced Bonus System (We reward those who build the business with us).
• A professional team that has your back. We work hard, but we support each other 100%.
• Medical Insurance in Ukraine and Multisport program in Poland.
• Offices in Ukraine (Kyiv, Kharkiv) and Poland (Wroclaw) or Remote.
• All necessary equipment and workstation space.
• Legal & Accounting services.
• English classes and Education reimbursement.
• Incredible corporate parties and other activities (when we aren't saving the world).

Our client is a company that is one of the prominent providers of unique online slot games based in Spain. We are looking for AI Platform Engineer to join our team building internal tools for automation and analytics in slot game development.

Required skills:

Must-have:

• 3+ years of experience in developing internal tools/automation.
• Python 3.10+, FastAPI, async/await, typing.
• SQL/PostgreSQL (schemas, indexes, window functions, materialized views).
• SaaS API integrations (Atlassian preferred), webhooks, error handling.
• Docker (multi-stage builds, docker-compose), basic logging and monitoring.
• Hands-on experience with AI assistants (Copilot, Cursor, Claude Code) and a culture of code verification.

Responsibilities:

• Build integrations with Jira, Confluence, Slack: REST API, webhooks, OAuth2; normalize and load data into PostgreSQL.
• Create dashboards (onboarding, lead time/throughput, workload, overdue tasks, AI automation impact) in Metabase/Superset or lightweight React panels.
• Develop small backend services: FastAPI endpoints, schedulers, alerts; handle rate limits, retries, and idempotency.
• Support the ML team: prepare datasets for RAG/vector search, collect telemetry on AI feature usage.
• Use AI assistants (Copilot, Cursor, Claude Code) for prototyping, refactoring, and test generation — always with proper verification.

• Write short documentation (README, ADR) together with tech/UX writers.

   

Сompanу offer:

• Work on impactful internal tools that directly improve team efficiency.
• Opportunity to actively use AI assistants and be at the forefront of AI-driven development.
• Modern tech stack.
• Flexible schedule and remote-first culture.

This role is a hybrid Data Ops + ML Engineer position responsible for both data ingestion foundations and AI/ML capability. The platform analyses real customer conversations alongside CRM and campaign data to surface actionable insights for revenue teams. Having successfully delivered a working MVP, the next phase is focused on scaling, improving observability, and laying the foundation for multi-client onboarding. This is a "ground-up" ownership role, setting the standards for data and ML scale-out during a high-growth phase.

About the Product

• The platform is designed to identify customer patterns faster for marketing and commercial teams. It sits at the intersection of B2B, SaaS, LLMs, and sales enablement.
• Al-native platform: Analyses customer conversations and related
  sales/marketing data.
• Modern Stack: Built on a cloud-native stack using Google Vertex AI and serverless workloads.
• Status: A functional MVP is complete and entering scaling and
  enhancement.

Responsibilites

Data Ops

• Extend and automate ingestion connectors including email, transcripts, and conversational tools.
• Maintain standardised metadata and traceability from source to insight.
• Define and evolve data models that support RBAC, analytics, and AI
  retrieval.
• Own data quality validation, schema alignment, and error monitoring.

ML/LLM Engineering

• Improve prompt design, error-handling, and structured output quality.
• Optimise token cost, latency, grounding strategy, and hallucination
  safeguards.
• Introduce evaluation metrics for insight quality and utilisation.
• Partner with engineering for scalable model deployment and lifecycle management.

Must-Have Experience & Skills
Technical Requirements

• Experience: 4+ years in data engineering / ML engineering hybrid teams preferred.
• Languages: Python required.
  Cloud & Infra: Google Cloud Platform, especially Vertex AI and Cloud
  Functions.
• Data Platform: PostgreSQL experience and data modeling capability.
  ETL/Ingestion: Airbyte, Cloud Composer, or similar ingestion orchestration.
• MLOps: API-driven LLM integration (OpenAI, Anthropic, Vertex).
  Soft Skills & Behaviours.
• Ownership mindset: Accountable for outcomes, not just tasks.
• Bias for action: Pragmatism over perfection.
• User empathy: Focuses on AI that feels useful, not just functional.

Success Criteria
First 3-6 Months:

• Ingestion Foundation: Robust, automated ingestion supporting multiple formats and sources.
• Data Quality: Tagging, validation, and metadata enabling meaningful
  downstream AI.
• Insight Consistency: Prompts and model config deliver repeatable, trusted insight patterns.
• Observability: Clear dashboards, alerting, and data lineage controls.

Engagement Details

• Number of Roles: 1
• Target Start Date: February 2026
• Engagement Type: Potential Temp to Permanent hire after 6 months, but primarily looking for perm options
• Location: Fully remote (Core collaboration on UK hours)
• Working Hours: 8h per day
• Core overlap required: 10:00–16:00 London (GMT/BST)

Assessment Process
1. CV & GitHub/Portfolio review.
2. Technical screening (Data + ML scenarios).
3. Live ingestion / prompt engineering exercise.
4. Founder + leadership interview for culture and ownership fit.

What We Offer:

• Full remote with flexible business hours;
• Three weeks of vacation per year (15 working days);
• Paid sick leave per year (5 working days);
• Amazing opportunities for professional growth within a top-notch team of professionals;
• Competitive compensation commensurate with your experience and skills;
• English lessons;
• Co-working compensation;
• An excellent team with a friendly atmosphere.

Ekreative is purposeful about every decision: how we hire, build long-lasting partnerships with our clients, set our development procedures, and impact social change with our finances. Since the very beginning, Ekreative has been committed to giving away a significant portion of our profit on a monthly basis to various charities, influencing thousands of lives. With over a decade of experience delivering innovative solutions, we’re now investing in AI to enhance both how we work and the value we deliver to our clients.

We are looking for a VP of AI — a visionary and hands-on leader dedicated to driving AI innovation across Ekreative. This is a full-time executive position focused on researching, testing, and integrating emerging AI technologies to elevate our software development capabilities and operational excellence.

The role has two core focuses:

1. Client-Facing Innovation

• Continuously explore and adopt AI technologies that enhance the quality, speed, and competitiveness of Ekreative’s client services
• Drive AI-powered improvements across design, development, testing, and delivery processes
• Collaborate with project teams to identify opportunities for AI integration into client products and services

2. Internal AI Enablement

• Leverage AI to optimize Ekreative’s internal workflows, knowledge management, and decision-making
• Implement and refine AI tools that improve efficiency across operations, HR, sales, and project management

• Foster a culture of AI adoption and continuous learning within the company

   

Key Responsibilities:

• Develop and lead Ekreative’s company-wide AI strategy and roadmap
• Research and evaluate new AI technologies, frameworks, and tools relevant to software development
• Partner with delivery, R&D, and operations teams to pilot and scale AI-driven initiatives
• Identify measurable KPIs and report progress to the executive team
• Build and mentor an internal AI innovation group or guild
• Stay ahead of global AI trends, ensuring Ekreative remains an early adopter in key areas

• Represent Ekreative’s AI expertise in client discussions, marketing, and industry events

   

Requirements:

• 7+ years of experience in software development, data science, or AI leadership, including at least 3 years in a senior or executive-level role
• Proven track record of implementing AI technologies in a commercial software or services environment
• Deep understanding of modern AI tools, platforms, and frameworks (e.g., GenAI, Copilot, Claude, OpenAI, Gemini, LLM fine-tuning, etc.)
• Strong leadership, communication, and stakeholder management skills
• Strategic thinker with the ability to convert emerging technologies into actionable business initiatives

• Experience leading cross-departmental innovation projects and managing technical change

   

We offer:

• Opportunity to shape the AI direction of an established, fast-evolving company
• Collaboration with a talented cross-functional team
• Flexible work environment
• Competitive compensation and long-term growth potential
• Partial reimbursement for medical insurance, sports activities, and English language courses
• Generous leave policy - 22 days of annual leave, 10 paid sick days per year
• Personal equipment policy offering MacBooks along with all necessary hardware and software for work
• Financial support for employees during specific life events (weddings, childbirth, etc)
• A people-focused corporate culture that prioritizes employee well-being

We are the creators of a new fintech era!
Our mission is to change this world by making blockchain accessible to everyone in everyday life. WhiteBIT is a global team of over 1,200 professionals united by one mission — to shape the new world order in the Web3 era. Each of our employees is fully engaged in this transformative journey.
We work on our blockchain platform, providing maximum transparency and security for more than 8 million users worldwide. Our breakthrough solutions, incredible speed of adaptation to market challenges, and technological superiority are the strengths that take us beyond ordinary companies. Our official partners include the National Football Team of Ukraine, FC Barcelona, Lifecell, FACEIT and VISA.

The future of Web3 starts with you: join us as a Data Engineer!

Requirements

— 3+ years of experience as a Data Engineer in high-load or data-driven environments
— Proficient in Python for data processing and automation (pandas, pyarrow, sqlalchemy, etc.)
— Advanced knowledge of SQL: query optimization, indexes, partitions, materialized views
— Hands-on experience with ETL/ELT orchestration tools (e.g., Airflow, Prefect)
— Experience with streaming technologies (e.g., Kafka, Flink, Spark Streaming)
— Solid background in data warehouse solutions: ClickHouse, BigQuery, Redshift, or Snowflake
— Familiarity with cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code principles
— Experience with containerization and deployment tools (e.g., Docker, Kubernetes, CI/CD)
— Understanding of data modeling, data versioning, and schema evolution (e.g., dbt, Avro, Parquet)
— English — at least intermediate (for documentation & communication with tech teams)

Responsibilities

— Design, build, and maintain scalable and resilient data pipelines (batch and real-time)
— Develop and support data lake/data warehouse architectures
— Integrate internal and external data sources/APIs into unified data systems
— Ensure data quality, observability, and monitoring of pipelines
— Collaborate with backend and DevOps engineers on infrastructure and deployment
— Optimize query performance and data processing latency across systems
— Maintain documentation and contribute to internal data engineering standards
— Implement data access layers and provide well-structured data for downstream teams

Work conditions

Immerse yourself in Crypto & Web3:
— Master cutting-edge technologies and become an expert in the most innovative industry.
Work with the Fintech of the Future:
— Develop your skills in digital finance and shape the global market.
Take Your Professionalism to the Next Level:
— Gain unique experience and be part of global transformations.
Drive Innovations:
— Influence the industry and contribute to groundbreaking solutions.
Join a Strong Team:
— Collaborate with top experts worldwide and grow alongside the best.
Work-Life Balance & Well-being:
— Modern equipment.
— Comfortable working conditions, and an inspiring environment to help you thrive.
— 22 business days of paid leave.
— Additional days off for national holidays.

A stable Ukrainian software company (since 2012, delivering CRM/ERP, web & mobile solutions to clients in 35 countries) is looking for an IT Business Analyst.

REQUIREMENTS:

- 1+ years of professional experience in business analysis / related field;

- Understanding of basic requirements documentation techniques (User Story, Acceptance Criteria, Use Case);

- Proficient in English (Upper-Intermediate level or higher);

- Communication skills, empathy, initiative, analytical thinking.

COMPANY OFFERS:

- Employment under a gig-contract (with SSC payments included);

- Flexible working hours (09:00-10:00 to 18:00-19:00) with a lunch break, weekdays only;

- 20 working days of paid vacation per year;

- Paid sick leave;

- Medical insurance;

- Paid gym;

- Payment for courses and trainings;

- Career development and professional growth;

- Paid lunches or parking (choice provided);

- Tea, coffee, water, snacks in the office;

- Office located near «Vasylkivska» metro station with Starlink and uninterrupted power supply;

- Access to a comfortable business center bomb shelter (also the metro is nearby).
 

Data Lab Scientist – Computer Vision

About Cyberette

Cyberette is an AI-native cybersecurity company developing forensic-grade technology to

detect digital manipulation in video, audio, and images. Our mission is to restore trust in

digital communication and protect organizations from deception in the AI era.

About the Role

We’re looking for a Data Lab Specialist with a solid background in data operations and

computer vision. You’ll be responsible for building and maintaining high-quality datasets that

fuel our detection models, ensuring accuracy, diversity, and consistency across all data

pipelines.

This role combines hands-on technical work with coordination — ideal for someone who

enjoys both creating structure and collaborating across teams.

Key Responsibilities

• Curate, collect, and annotate large-scale datasets for image and video analysis.

• Collaborate with the AI team to align data preparation with model goals.

• Ensure quality control and consistency across all dataset sources.

• Guide and coordinate junior team members or interns working on data tasks.

• Perform exploratory data analysis and identify dataset gaps or biases.

• Maintain clear documentation and versioning of data pipelines.

Requirements

• BSc/MSc in Computer Vision, Data Science, or related field.

• Proven experience with dataset preparation and management for machine learning.

• Strong understanding of computer vision principles and data labeling workflows.

• Proficiency in Python, Pandas and/or Polars, NumPy, and OpenCV.

• Experience working collaboratively with ML or research teams.

• Highly organized, detail-oriented, and dependable.

What We Value

Cyberette is built by a team of people who care deeply about purpose-driven innovation. We

believe in using AI to protect truth, identity, and digital integrity — and data is the foundation

of that mission.

Bonus Skills

• Familiarity with dataset tools (Label Studio, CVAT, Supervisely).

• Knowledge of multimodal or synthetic data generation.

• Understanding of ethical AI and dataset governance principles

AI Implementation Specialist (Remote) — Training & Client Placement Provided

We're building a team of AI Implementation Specialists who get trained on cutting-edge AI tools and placed directly inside US businesses to build automations, dashboards, tools, and systems.

What You Get:
- Free training through our AI certification program
- Placement with a paying US client
- Ongoing access to updated training as AI tools evolve
- The chance to build a real career in AI implementation

What We Need:
- Basic understanding of technology (you know what APIs, databases, and coding are)
- Experience with AI tools (ChatGPT, Claude, Midjourney, or similar)
- Comfortable learning new tools quickly
- Strong English communication (written and verbal)
- Self-motivated — you figure things out, you don't wait to be told

Nice to Have (Not Required):
- Command line / terminal experience
- Basic HTML/CSS knowledge
- Experience with automation tools (Zapier, Make, etc.)
- Any coding experience (Python, JavaScript, etc.)

This is NOT a traditional VA role. You won't be doing data entry or calendar management. You'll be building real AI systems inside businesses.

We are looking for a Senior/Lead Computer Vision Engineer to design and build high-performance perception systems for autonomous platforms, robotics, and advanced navigation operating under strict real-time and hardware constraints.

You will shape the architecture, implementation, and optimization of the entire vision pipeline - from geometric processing and object detection to tracking, sensor fusion, and integration with control systems. This role is ideal for someone who can independently solve hard technical problems and deliver reliable systems on embedded hardware.
You will work directly on defense projects for Ukraine, seeing a short path from code implementation to field testing.

What We Offer

• The chance to design mission-critical autonomous vision systems.
• Direct contribution to defense projects for Ukraine.
• Collaboration with top experts in vision, robotics, and embedded systems.
• Ownership of key architectural and technical decisions.
• Competitive compensation based on experience.
• Temporary military service exemption for work on defense-critical projects.

Requirements

Core Technical Skills

• 10+ years commercial software development; 5+ years in CV/ML or robotics.
• Degree in Computer Science, Math, Physics, or similar.
• Proven record of successful design and implementation of real-time CV or control algorithms.
• Strong in:
  • Object detection & tracking, Kalman filtering, sensor fusion.
  • Camera calibration, multi-view geometry, 3D reconstruction.
  • SLAM / visual odometry.
  • Real-time control or optimal control algorithms.
• Expertise with PyTorch or TensorFlow.
• Embedded ML optimization: TensorRT, ONNX, quantization, pruning.
• Excellent C++14/17/20 and solid Python.
• Experience with:
  • NVIDIA Jetson, ARM SoCs.
  • Low-latency video pipelines: GStreamer, DeepStream.
  • OpenCV, linear algebra, numerical methods.
  • ROS/ROS2.
  • Building reliable real-time systems in challenging conditions.
• Ability to work independently with minimal supervision.

Responsibilities

• Architect and implement vision algorithms for autonomous platforms.
• Optimize CV/ML models for real-time performance on constrained hardware.
• Design and maintain low-latency camera pipelines (GStreamer, CUDA, DeepStream).
• Integrate vision with navigation, sensor fusion (IMU), and control systems.
• Perform camera calibration, geometric vision, and sensor alignment.
• Research and evaluate new algorithms to further improve accuracy, robustness, and performance.
• Participate in hardware/sensor selection and system architecture design.
• Ensure robustness, safety, and performance of deployed systems.
• Support field testing and system maintenance.

Nice to Have

• Experience with:
  • Night-vision cameras, infrared sensors.
  • Autonomous robotics, drones, UGVs, UAV/UGVs.
  • Multi-sensor fusion (Camera + IMU + LiDAR).
  • Real-time CV.
  • MLOps / deployment pipelines.
  • Experience with ArduPilot/PX4, MAVLink, or Betaflight integration.
  • Mission-critical or functional safety systems.
  • Web/cloud monitoring or remote telemetry tools.