Data Science UA

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

About the client:
Our client's mission is to reduce the time and money enterprises spend on state-of-the-art technology by 99%. It is the core constraint that drives the product philosophy. It forces the company to reject incremental improvements and pursue fundamental breakthroughs. These principles are the operating system for how the company thinks, builds, and ships. They are how the company turns radical ambition into reality.

About the role:
We are looking for a Full Stack AI Engineer who will join the team. You'll be an architect of the revolution against enterprise tech waste. You'll build the core platform and intelligent agents that power the company's mission — not optimizing existing workflows, but eliminating them entirely.

Requirements:
- 5+ years of industry experience in product-centric full-stack engineering roles;
- Very strong software engineering background with deep expertise in Python/Typescript.
- Hands-on LLM product patterns (prompting, tool use, routing, evals, regression testing);
Experience of working with Agents & LLMs:
- LangGraph/LangChain (know its limitations & trade-offs);
- Multi-provider routing, prompt tooling, trace/eval discipline (LangSmith);

Experience of working with Knowledge & Search Technologies:
- Vector — pgvector on PostgreSQL (semantic);
- Graph traversal — Cypher on Neo4j (relationships & enterprise context graph);
- Keyword/BM25 — lexical precision;
- Cross-Encoder (BGE Reranker) + RRF (blend lists robustly);
Deep knowledge of working with Data & Databases:
- PostgreSQL (Cloud SQL) — primary OLTP;
- SQLAlchemy and BigQuery — analytics/outcomes & cost/waste telemetry;
- Redis (Memorystore) — caching + lightweight queue/broker;
- GCS — object storage (files, audio, artifacts);

Responsibilities:
Design & Build Autonomous Agents:
- Tackle the end-to-end challenge of creating agents that solve open-ended enterprise problems.
- Wrangling high-volume enterprise data, building robust evaluation frameworks.
- Mastering the interplay between LLM prompting, fine-tuning, and scalable system architecture.
- Lead Customer Conversations & Translate to Product: Work directly with customer executives to translate their most critical objectives into breakthrough product features.
- Build the "New": Own the most audacious hypotheses, like fully autonomous optimization agents that replace entire consulting engagements and obsolete the need for army-style deployments.
- Master Deep Context: Build systems that understand enterprise architecture patterns better than most architects, automatically discovering waste and optimization opportunities.
- Take single-threaded ownership of core AI product areas, with end-to-end responsibility for customer success and business outcomes.
- Double as a Forward Deployed Engineer: Work regularly onsite with customers, and actually work with the systems.
- Every customer engagement becomes R&D for the platform, turning individual pain points into generalizable breakthroughs that serve the entire customer base

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

About the client:
Our client's mission is to reduce the time and money enterprises spend on state-of-the-art technology by 99%. It is the core constraint that drives the product philosophy. It forces the company to reject incremental improvements and pursue fundamental breakthroughs. These principles are the operating system for how the company thinks, builds, and ships. They are how the company turns radical ambition into reality.

About the role:
We are looking for a Full Stack AI Engineer who will join the team. You'll be an architect of the revolution against enterprise tech waste. You'll build the core platform and intelligent agents that power the company's mission — not optimizing existing workflows, but eliminating them entirely.

Requirements:
- 5+ years of industry experience in product-centric full-stack engineering roles;
- Very strong software engineering background with deep expertise in Python/Typescript.
- Hands-on LLM product patterns (prompting, tool use, routing, evals, regression testing);
Experience of working with Agents & LLMs:
- LangGraph/LangChain (know its limitations & trade-offs);
- Multi-provider routing, prompt tooling, trace/eval discipline (LangSmith);

Experience of working with Knowledge & Search Technologies:
- Vector — pgvector on PostgreSQL (semantic);
- Graph traversal — Cypher on Neo4j (relationships & enterprise context graph);
- Keyword/BM25 — lexical precision;
- Cross-Encoder (BGE Reranker) + RRF (blend lists robustly);
Deep knowledge of working with Data & Databases:
- PostgreSQL (Cloud SQL) — primary OLTP;
- SQLAlchemy and BigQuery — analytics/outcomes & cost/waste telemetry;
- Redis (Memorystore) — caching + lightweight queue/broker;
- GCS — object storage (files, audio, artifacts);

Responsibilities:
Design & Build Autonomous Agents:
- Tackle the end-to-end challenge of creating agents that solve open-ended enterprise problems.
- Wrangling high-volume enterprise data, building robust evaluation frameworks.
- Mastering the interplay between LLM prompting, fine-tuning, and scalable system architecture.
- Lead Customer Conversations & Translate to Product: Work directly with customer executives to translate their most critical objectives into breakthrough product features.
- Build the "New": Own the most audacious hypotheses, like fully autonomous optimization agents that replace entire consulting engagements and obsolete the need for army-style deployments.
- Master Deep Context: Build systems that understand enterprise architecture patterns better than most architects, automatically discovering waste and optimization opportunities.
- Take single-threaded ownership of core AI product areas, with end-to-end responsibility for customer success and business outcomes.
- Double as a Forward Deployed Engineer: Work regularly onsite with customers, and actually work with the systems.
- Every customer engagement becomes R&D for the platform, turning individual pain points into generalizable breakthroughs that serve the entire customer base

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

About the client:
Our client's mission is to reduce the time and money enterprises spend on state-of-the-art technology by 99%. It is the core constraint that drives the product philosophy. It forces the company to reject incremental improvements and pursue fundamental breakthroughs. These principles are the operating system for how the company thinks, builds, and ships. They are how the company turns radical ambition into reality.

About the role:
We are looking for a Full Stack AI Engineer who will join the team. You'll be an architect of the revolution against enterprise tech waste. You'll build the core platform and intelligent agents that power the company's mission — not optimizing existing workflows, but eliminating them entirely.

Requirements:
- 5+ years of industry experience in product-centric full-stack engineering roles;
- Very strong software engineering background with deep expertise in Python/Typescript.
- Hands-on LLM product patterns (prompting, tool use, routing, evals, regression testing);
Experience of working with Agents & LLMs:
- LangGraph/LangChain (know its limitations & trade-offs);
- Multi-provider routing, prompt tooling, trace/eval discipline (LangSmith);

Experience of working with Knowledge & Search Technologies:
- Vector — pgvector on PostgreSQL (semantic);
- Graph traversal — Cypher on Neo4j (relationships & enterprise context graph);
- Keyword/BM25 — lexical precision;
- Cross-Encoder (BGE Reranker) + RRF (blend lists robustly);
Deep knowledge of working with Data & Databases:
- PostgreSQL (Cloud SQL) — primary OLTP;
- SQLAlchemy and BigQuery — analytics/outcomes & cost/waste telemetry;
- Redis (Memorystore) — caching + lightweight queue/broker;
- GCS — object storage (files, audio, artifacts);

Responsibilities:
Design & Build Autonomous Agents:
- Tackle the end-to-end challenge of creating agents that solve open-ended enterprise problems.
- Wrangling high-volume enterprise data, building robust evaluation frameworks.
- Mastering the interplay between LLM prompting, fine-tuning, and scalable system architecture.
- Lead Customer Conversations & Translate to Product: Work directly with customer executives to translate their most critical objectives into breakthrough product features.
- Build the "New": Own the most audacious hypotheses, like fully autonomous optimization agents that replace entire consulting engagements and obsolete the need for army-style deployments.
- Master Deep Context: Build systems that understand enterprise architecture patterns better than most architects, automatically discovering waste and optimization opportunities.
- Take single-threaded ownership of core AI product areas, with end-to-end responsibility for customer success and business outcomes.
- Double as a Forward Deployed Engineer: Work regularly onsite with customers, and actually work with the systems.
- Every customer engagement becomes R&D for the platform, turning individual pain points into generalizable breakthroughs that serve the entire customer base

About us:

We are Data Science UA, a fast-growing IT service company. We are proud of developing the Data Science community in Ukraine for more than 6 years. Data Science UA unites all researchers, engineers, and developers around Data Science and related areas. We conduct events on machine learning, computer vision, intelligence, information science, and the use of artificial intelligence for business in various fields.

About product:

This is an intelligent video analytics platform designed to automate the process of learning and generating contextual insights from unstructured data inside video footage. The company’s platform uses artificial intelligence built on proprietary machine comprehension services that can contextually understand the content of users’ data, enabling clients to provide contextual advertisements and product recommendations to provide a personalized experience for users.

They have developed and deployed a computer vision system for industrial procedure monitoring which involves multiple cameras, on-prem servers with multiple GPUs, and a cloud component on AWS cloud. The system is installed in 3 countries, and we have new customers all over the world.

About the role:

We are looking for an experienced Junior (or Junior/Middle) Data Annotator who will work closely with engineers in the tasks of creating datasets for training neural networks.

Requirements:

— Minimum of a Bachelor's Degree in Computer Science or related field.

— Ability to remain attentive during long, monotonous work.

— Ability to perform tasks according to requirements.

— English - Intermediate and above.

— High level of communication skills.

— Prior annotation experience.

— Familiarity with data annotation tools, methods and processes.

— Familiarity with Confluence, Jira and Google Services (Docs, Sheets, Slides, Drive).

Responsibilities:

— Image annotation (object detection annotation, segmentation annotation), with high accuracy according to the rules of the task, using a special annotation tool.

— Sorting images by specified conditions.

— Achieving required KPIs of performance and quality.

We offer:

— Possibility to make an impact on product from scratch;

— Competitive salary and perks;

— Working with cutting-edge technologies;

— Friendly team and nice environment;

— A positive atmosphere all over the company.

You will work closely with the founding team and greatly impact the direction of the products and the company. If you’re interested in joining our new R&D team, please let us know about yourself.

About us:

We are Data Science UA, a fast-growing IT service company. We are proud of developing the Data Science community in Ukraine for more than 6 years. Data Science UA unites all researchers, engineers, and developers around Data Science and related areas. We conduct events on machine learning, computer vision, intelligence, information science, and the use of artificial intelligence for business in various fields.

About product:

This is an intelligent video analytics platform designed to automate the process of learning and generating contextual insights from unstructured data inside video footage. The company’s platform uses artificial intelligence built on proprietary machine comprehension services that can contextually understand the content of users’ data, enabling clients to provide contextual advertisements and product recommendations to provide a personalized experience for users.

They have developed and deployed a computer vision system for industrial procedure monitoring which involves multiple cameras, on-prem servers with multiple GPUs, and a cloud component on AWS cloud. The system is installed in 3 countries, and we have new customers all over the world.

About the role:

We are looking for an experienced Junior (or Junior/Middle) Data Annotator who will work closely with engineers in the tasks of creating datasets for training neural networks.

Requirements:

— Minimum of a Bachelor's Degree in Computer Science or related field.

— Ability to remain attentive during long, monotonous work.

— Ability to perform tasks according to requirements.

— English - Intermediate and above.

— High level of communication skills.

— Prior annotation experience.

— Familiarity with data annotation tools, methods and processes.

— Familiarity with Confluence, Jira and Google Services (Docs, Sheets, Slides, Drive).

Responsibilities:

— Image annotation (object detection annotation, segmentation annotation), with high accuracy according to the rules of the task, using a special annotation tool.

— Sorting images by specified conditions.

— Achieving required KPIs of performance and quality.

We offer:

— Possibility to make an impact on product from scratch;

— Competitive salary and perks;

— Working with cutting-edge technologies;

— Friendly team and nice environment;

— A positive atmosphere all over the company.

You will work closely with the founding team and greatly impact the direction of the products and the company. If you’re interested in joining our new R&D team, please let us know about yourself.

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

About the client:
Our client's mission is to reduce the time and money enterprises spend on state-of-the-art technology by 99%. It is the core constraint that drives the product philosophy. It forces the company to reject incremental improvements and pursue fundamental breakthroughs. These principles are the operating system for how the company thinks, builds, and ships. They are how the company turns radical ambition into reality.

About the role:
We are looking for a Full Stack AI Engineer who will join the team. You'll be an architect of the revolution against enterprise tech waste. You'll build the core platform and intelligent agents that power the company's mission — not optimizing existing workflows, but eliminating them entirely.

Requirements:
- 5+ years of industry experience in product-centric full-stack engineering roles;
- Very strong software engineering background with deep expertise in Python/Typescript.
- Hands-on LLM product patterns (prompting, tool use, routing, evals, regression testing);
Experience of working with Agents & LLMs:
- LangGraph/LangChain (know its limitations & trade-offs);
- Multi-provider routing, prompt tooling, trace/eval discipline (LangSmith);

Experience of working with Knowledge & Search Technologies:
- Vector — pgvector on PostgreSQL (semantic);
- Graph traversal — Cypher on Neo4j (relationships & enterprise context graph);
- Keyword/BM25 — lexical precision;
- Cross-Encoder (BGE Reranker) + RRF (blend lists robustly);
Deep knowledge of working with Data & Databases:
- PostgreSQL (Cloud SQL) — primary OLTP;
- SQLAlchemy and BigQuery — analytics/outcomes & cost/waste telemetry;
- Redis (Memorystore) — caching + lightweight queue/broker;
- GCS — object storage (files, audio, artifacts);

Responsibilities:
Design & Build Autonomous Agents:
- Tackle the end-to-end challenge of creating agents that solve open-ended enterprise problems.
- Wrangling high-volume enterprise data, building robust evaluation frameworks.
- Mastering the interplay between LLM prompting, fine-tuning, and scalable system architecture.
- Lead Customer Conversations & Translate to Product: Work directly with customer executives to translate their most critical objectives into breakthrough product features.
- Build the "New": Own the most audacious hypotheses, like fully autonomous optimization agents that replace entire consulting engagements and obsolete the need for army-style deployments.
- Master Deep Context: Build systems that understand enterprise architecture patterns better than most architects, automatically discovering waste and optimization opportunities.
- Take single-threaded ownership of core AI product areas, with end-to-end responsibility for customer success and business outcomes.
- Double as a Forward Deployed Engineer: Work regularly onsite with customers, and actually work with the systems.
- Every customer engagement becomes R&D for the platform, turning individual pain points into generalizable breakthroughs that serve the entire customer base

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

About the role:

We are looking for an Intern Project Manager to join our consulting team. You will support project coordination, communication, documentation management, and operational processes across multiple client engagements. This role is ideal for someone who wants to grow in project management, especially in the AI domain, work in a dynamic environment, and gain hands-on experience in IT delivery.

You will collaborate closely with experienced Head of AI, participate in client calls, help maintain project structure, and ensure smooth day-to-day operations.

Requirements:

1. Completed Projects management course 
2. Basic understanding of Agile / Scrum / Kanban frameworks and SDLC.
3. Experience using macOS and productivity tools (Google Workspace, Notion, Slack, task management systems).
4. Strong analytical thinking, structure, and attention to detail.
5. Upper-Intermediate English or higher (daily communication and documentation).
6. Proficiency with spreadsheets, presentations, and documentation tools.
7. Ability to adapt quickly, learn fast, and work with clients from various industries.

8. Strong communication skills and a proactive attitude.

    

Responsibilities:

1. Support PMs with daily operational tasks (status updates, planning, meeting coordination).
   Assist with team coordination: collecting updates, tracking deadlines, maintaining task trackers.
2. Maintain and create project documentation (notes, requirements, summaries, structured materials).
3. Participate in internal and client meetings, prepare summaries and follow-up actions.
4. Support the preparation of reports, dashboards, presentations, and client-facing materials.

About us:

We are Data Science UA, a fast-growing IT service company. We are proud of developing the Data Science community in Ukraine for more than 6 years. Data Science UA unites all researchers, engineers, and developers around Data Science and related areas. We conduct events on machine learning, computer vision, intelligence, information science, and the use of artificial intelligence for business in various fields.

About product:

This is an intelligent video analytics platform designed to automate the process of learning and generating contextual insights from unstructured data inside video footage. The company’s platform uses artificial intelligence built on proprietary machine comprehension services that can contextually understand the content of users’ data, enabling clients to provide contextual advertisements and product recommendations to provide a personalized experience for users.

They have developed and deployed a computer vision system for industrial procedure monitoring which involves multiple cameras, on-prem servers with multiple GPUs, and a cloud component on AWS cloud. The system is installed in 3 countries, and we have new customers all over the world.

About the role:

We are looking for an experienced Junior (or Junior/Middle) Data Annotator who will work closely with engineers in the tasks of creating datasets for training neural networks.

Requirements:

— Minimum of a Bachelor's Degree in Computer Science or related field.

— Ability to remain attentive during long, monotonous work.

— Ability to perform tasks according to requirements.

— English - Intermediate and above.

— High level of communication skills.

— Prior annotation experience.

— Familiarity with data annotation tools, methods and processes.

— Familiarity with Confluence, Jira and Google Services (Docs, Sheets, Slides, Drive).

Responsibilities:

— Image annotation (object detection annotation, segmentation annotation), with high accuracy according to the rules of the task, using a special annotation tool.

— Sorting images by specified conditions.

— Achieving required KPIs of performance and quality.

We offer:

— Possibility to make an impact on product from scratch;

— Competitive salary and perks;

— Working with cutting-edge technologies;

— Friendly team and nice environment;

— A positive atmosphere all over the company.

You will work closely with the founding team and greatly impact the direction of the products and the company. If you’re interested in joining our new R&D team, please let us know about yourself.

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the organization of the first Data Science UA conference, setting the foundation for our growth. Over the past 9 years, we have diligently fostered the largest Data Science Community in Europe.

About the role:
We are looking for a Junior Embedded Engineer to become a helping hand for our internal R&D team. You’ll develop a unique platform, which can be used in UAVs and their simulators.

Requirements:
- 0,5-1 year of experience as a Hardware/Embedded Engineer (with more focus on the Hardware side and Software control algorithms).
- Good proficiency in C/C++.
- Experience with Arduino, Raspberry Pi, and/or some other embedded platforms.
- Experience in working with programmators, testers, oscilloscopes etc.
- Experience in PCB soldering.
- Student/graduate in the field of electronics, radio engineering or computer engineering.

Nice to have:
- Proficiency in Python.
- Experience in programming flight controllers and/or piloting UAVs.
- Intermediate English or higher.
- Your own pet projects.
- Experience in task tracking systems like Jira/Asana.

Personal Qualities:
- Independent work, without careful supervision, willingness to take responsibility.
- Timely and high-quality delivery of results.
- Ability to learn quickly.

Responsibilities:
- Development and testing of Software for embedded systems and microcontrollers.
- UAVs electronics assembly and soldering.
- Test flights preparation for real UAVs and simulators.
- Preparation of 3D models of certain parts.
- Work on complex R&D projects.

We offer:
- Free English classes with a native speaker and external courses compensation;
- PE support by professional accountants;
- 40 days of PTO;
- Medical insurance;
- Team-building events, conferences, meetups, and other activities;
- There are many other benefits you’ll find out at the interview.

About us:

We are Data Science UA, a fast-growing IT service company. We are proud of developing the Data Science community in Ukraine for more than 6 years. Data Science UA unites all researchers, engineers, and developers around Data Science and related areas. We conduct events on machine learning, computer vision, intelligence, information science, and the use of artificial intelligence for business in various fields.

About product:

This is an intelligent video analytics platform designed to automate the process of learning and generating contextual insights from unstructured data inside video footage. The company’s platform uses artificial intelligence built on proprietary machine comprehension services that can contextually understand the content of users’ data, enabling clients to provide contextual advertisements and product recommendations to provide a personalized experience for users.

They have developed and deployed a computer vision system for industrial procedure monitoring which involves multiple cameras, on-prem servers with multiple GPUs, and a cloud component on AWS cloud. The system is installed in 3 countries, and we have new customers all over the world.

About the role:

We are looking for an experienced Junior (or Junior/Middle) Data Annotator who will work closely with engineers in the tasks of creating datasets for training neural networks.

Requirements:

— Minimum of a Bachelor's Degree in Computer Science or related field.

— Ability to remain attentive during long, monotonous work.

— Ability to perform tasks according to requirements.

— English - Intermediate and above.

— High level of communication skills.

— Prior annotation experience.

— Familiarity with data annotation tools, methods and processes.

— Familiarity with Confluence, Jira and Google Services (Docs, Sheets, Slides, Drive).

Responsibilities:

— Image annotation (object detection annotation, segmentation annotation), with high accuracy according to the rules of the task, using a special annotation tool.

— Sorting images by specified conditions.

— Achieving required KPIs of performance and quality.

We offer:

— Possibility to make an impact on product from scratch;

— Competitive salary and perks;

— Working with cutting-edge technologies;

— Friendly team and nice environment;

— A positive atmosphere all over the company.

You will work closely with the founding team and greatly impact the direction of the products and the company. If you’re interested in joining our new R&D team, please let us know about yourself.

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

About the client:
Our client's mission is to reduce the time and money enterprises spend on state-of-the-art technology by 99%. It is the core constraint that drives the product philosophy. It forces the company to reject incremental improvements and pursue fundamental breakthroughs. These principles are the operating system for how the company thinks, builds, and ships. They are how the company turns radical ambition into reality.

About the role:
We are looking for a Full Stack AI Engineer who will join the team. You'll be an architect of the revolution against enterprise tech waste. You'll build the core platform and intelligent agents that power the company's mission — not optimizing existing workflows, but eliminating them entirely.

Requirements:
- 5+ years of industry experience in product-centric full-stack engineering roles;
- Very strong software engineering background with deep expertise in Python/Typescript.
- Hands-on LLM product patterns (prompting, tool use, routing, evals, regression testing);
Experience of working with Agents & LLMs:
- LangGraph/LangChain (know its limitations & trade-offs);
- Multi-provider routing, prompt tooling, trace/eval discipline (LangSmith);

Experience of working with Knowledge & Search Technologies:
- Vector — pgvector on PostgreSQL (semantic);
- Graph traversal — Cypher on Neo4j (relationships & enterprise context graph);
- Keyword/BM25 — lexical precision;
- Cross-Encoder (BGE Reranker) + RRF (blend lists robustly);
Deep knowledge of working with Data & Databases:
- PostgreSQL (Cloud SQL) — primary OLTP;
- SQLAlchemy and BigQuery — analytics/outcomes & cost/waste telemetry;
- Redis (Memorystore) — caching + lightweight queue/broker;
- GCS — object storage (files, audio, artifacts);

Responsibilities:
Design & Build Autonomous Agents:
- Tackle the end-to-end challenge of creating agents that solve open-ended enterprise problems.
- Wrangling high-volume enterprise data, building robust evaluation frameworks.
- Mastering the interplay between LLM prompting, fine-tuning, and scalable system architecture.
- Lead Customer Conversations & Translate to Product: Work directly with customer executives to translate their most critical objectives into breakthrough product features.
- Build the "New": Own the most audacious hypotheses, like fully autonomous optimization agents that replace entire consulting engagements and obsolete the need for army-style deployments.
- Master Deep Context: Build systems that understand enterprise architecture patterns better than most architects, automatically discovering waste and optimization opportunities.
- Take single-threaded ownership of core AI product areas, with end-to-end responsibility for customer success and business outcomes.
- Double as a Forward Deployed Engineer: Work regularly onsite with customers, and actually work with the systems.
- Every customer engagement becomes R&D for the platform, turning individual pain points into generalizable breakthroughs that serve the entire customer base

About us:

We are Data Science UA, a fast-growing IT service company. We are proud of developing the Data Science community in Ukraine for more than 6 years. Data Science UA unites all researchers, engineers, and developers around Data Science and related areas. We conduct events on machine learning, computer vision, intelligence, information science, and the use of artificial intelligence for business in various fields.

About product:

This is an intelligent video analytics platform designed to automate the process of learning and generating contextual insights from unstructured data inside video footage. The company’s platform uses artificial intelligence built on proprietary machine comprehension services that can contextually understand the content of users’ data, enabling clients to provide contextual advertisements and product recommendations to provide a personalized experience for users.

They have developed and deployed a computer vision system for industrial procedure monitoring which involves multiple cameras, on-prem servers with multiple GPUs, and a cloud component on AWS cloud. The system is installed in 3 countries, and we have new customers all over the world.

About the role:

We are looking for an experienced Junior (or Junior/Middle) Data Annotator who will work closely with engineers in the tasks of creating datasets for training neural networks.

Requirements:

— Minimum of a Bachelor's Degree in Computer Science or related field.

— Ability to remain attentive during long, monotonous work.

— Ability to perform tasks according to requirements.

— English - Intermediate and above.

— High level of communication skills.

— Prior annotation experience.

— Familiarity with data annotation tools, methods and processes.

— Familiarity with Confluence, Jira and Google Services (Docs, Sheets, Slides, Drive).

Responsibilities:

— Image annotation (object detection annotation, segmentation annotation), with high accuracy according to the rules of the task, using a special annotation tool.

— Sorting images by specified conditions.

— Achieving required KPIs of performance and quality.

We offer:

— Possibility to make an impact on product from scratch;

— Competitive salary and perks;

— Working with cutting-edge technologies;

— Friendly team and nice environment;

— A positive atmosphere all over the company.

You will work closely with the founding team and greatly impact the direction of the products and the company. If you’re interested in joining our new R&D team, please let us know about yourself.

About us:

We are Data Science UA, a fast-growing IT service company. We are proud of developing the Data Science community in Ukraine for more than 6 years. Data Science UA unites all researchers, engineers, and developers around Data Science and related areas. We conduct events on machine learning, computer vision, intelligence, information science, and the use of artificial intelligence for business in various fields.

About product:

This is an intelligent video analytics platform designed to automate the process of learning and generating contextual insights from unstructured data inside video footage. The company’s platform uses artificial intelligence built on proprietary machine comprehension services that can contextually understand the content of users’ data, enabling clients to provide contextual advertisements and product recommendations to provide a personalized experience for users.

They have developed and deployed a computer vision system for industrial procedure monitoring which involves multiple cameras, on-prem servers with multiple GPUs, and a cloud component on AWS cloud. The system is installed in 3 countries, and we have new customers all over the world.

About the role:

We are looking for an experienced Junior (or Junior/Middle) Data Annotator who will work closely with engineers in the tasks of creating datasets for training neural networks.

Requirements:

— Minimum of a Bachelor's Degree in Computer Science or related field.

— Ability to remain attentive during long, monotonous work.

— Ability to perform tasks according to requirements.

— English - Intermediate and above.

— High level of communication skills.

— Prior annotation experience.

— Familiarity with data annotation tools, methods and processes.

— Familiarity with Confluence, Jira and Google Services (Docs, Sheets, Slides, Drive).

Responsibilities:

— Image annotation (object detection annotation, segmentation annotation), with high accuracy according to the rules of the task, using a special annotation tool.

— Sorting images by specified conditions.

— Achieving required KPIs of performance and quality.

We offer:

— Possibility to make an impact on product from scratch;

— Competitive salary and perks;

— Working with cutting-edge technologies;

— Friendly team and nice environment;

— A positive atmosphere all over the company.

You will work closely with the founding team and greatly impact the direction of the products and the company. If you’re interested in joining our new R&D team, please let us know about yourself.