Jobs Data & Analytics

About Us

We build intelligent platforms that help teams make better decisions in complex environments.

Our core product is an adaptive workspace that analyzes workflows, communication, and performance in real time, turning everyday activity into clear strategic insights.

Instead of dashboards and reports, we provide living systems that learn from how people work and continuously optimize processes behind the scenes.

Our technology is used by fast-growing companies that need clarity, speed, and precision in their operations.

You’ll be part of a small, highly skilled team working directly with leadership to shape a product used at scale.

What You’ll Be Building

As part of our core engineering team, you will design and scale the internal intelligence layer of the platform.

Your work will directly shape how our system learns, connects to external services, and supports users in real time.

You will:

• Architect autonomous AI agents that operate inside our workspace
• Create data flows between our platform and external services
• Develop systems that adapt to user behavior and improve over time
• Turn experimental ideas into stable product features

Your Day-to-Day Work

You will work across product, engineering, and leadership to bring new capabilities to life.

Typical responsibilities include:

• Designing interaction models between users, AI agents, and datasets
• Building integrations with CRMs, analytics tools, and cloud services
• Developing automation pipelines and backend services in Python and Node.js
• Prototyping new features and testing them with real users
• Monitoring system performance and iterating rapidly

Technical Environment

Our stack is focused on flexibility and fast experimentation.

You’ll work with:

• Python as the primary backend language
• Node.js / TypeScript for integrations and services
• Modern LLM APIs (OpenAI, Anthropic, and others)
• Retrieval-augmented generation and vector databases
• Workflow and orchestration platforms
• REST APIs, webhooks, and distributed services

What We’re Looking For

We care more about problem-solving ability than rigid backgrounds.

Ideal candidates typically have:

• 3+ years of experience building production systems
• Strong engineering fundamentals
• Hands-on experience with AI or ML-powered products
• Confidence working with modern language models
• Experience connecting multiple SaaS platforms
• Ability to write clear, maintainable code

How You Work

You’ll thrive here if you:

• Enjoy working with incomplete or evolving requirements
• Take responsibility for systems end-to-end
• Balance experimentation with reliability
• Communicate clearly in English
• Stay curious and continuously improve your craft

Growth Path

This role is designed for engineers who want to move beyond feature implementation.

Over time, you’ll:

• Shape core platform architecture
• Define internal development standards
• Mentor other engineers
• Lead major product initiatives
• Grow into technical leadership roles

We’re looking for a Senior PostgreSQL Database Engineer to join our team. 

Our client a leading European AI company developing large language models and generative platforms for enterprise and government clients.
Our products combine high-performance technologies, transparency, accessibility, and data security, fully aligned with European regulatory and ethical standards.

As a Senior PostgreSQL Database Engineer, you will take ownership of PostgreSQL architecture, tuning, operations, and maintenance across business-critical systems.
This role is designed to be covered by 1–2 FTE split across several senior specialists, ensuring continuity of PostgreSQL operations and full coverage during planned and unplanned absences as we take over end-to-end PostgreSQL responsibility.

Responsibilities:

• Take ownership of PostgreSQL architecture, tuning, and long-term maintenance
• Lead PostgreSQL operations as systems transition under internal ownership
• Ensure database availability, reliability, and performance in production environments
• Design and maintain high-availability, replication, backup, and recovery strategies
• Proactively monitor, troubleshoot, and resolve PostgreSQL issues
• Perform query optimization, indexing strategies, and configuration tuning
• Plan and execute upgrades, migrations, and maintenance activities
• Ensure data security, integrity, and compliance with internal and regulatory standards
• Collaborate closely with backend, platform, and infrastructure teams
• Maintain clear operational documentation to support shared ownership across multiple FTEs
• Participate in support / on-call rotation as required to ensure operational continuity

Requirements:

• 5+ years of commercial experience with PostgreSQL
• Experience with PostgreSQL, including: performance tuning, database architecture, operations and maintenance in production
• Proven experience managing PostgreSQL in mission-critical environments
• Strong expertise in backup, restore, replication, and high-availability setups
• Hands-on experience with PostgreSQL troubleshooting and incident resolution
• Ability to independently own and operate PostgreSQL systems
• Comfortable working in a shared-responsibility model (1–2 FTE split across multiple specialists)
• Strong communication skills and experience working with cross-functional engineering teams
• Solid Linux fundamentals
• Upper-Intermediate level of English

Nice to have:

• Experience operating PostgreSQL at scale (large datasets, high throughput)
• Familiarity with cloud-based PostgreSQL solutions
• Experience with monitoring, alerting, and observability tools
• Automation and Infrastructure as Code experience
• Background in platform engineering, SRE, or DevOps
• Experience in regulated or security-sensitive environments

Client: The company is a multinational pharmaceutical and diagnostics corporation. It is renowned for its contributions to healthcare through the development of innovative drugs and diagnostic solutions. With a focus on advancing medical science, the company has established itself as a leader in the biotechnology and healthcare industries. The company's commitment to scientific research and development underscores its role in shaping the future of healthcare worldwide.
 

Responsibilities:

• You will collaborate with cross-functional teams to analyze requirements, develop technical specifications and implement solutions;
• Analyze large and complex datasets to uncover insights, trends, and patterns that support strategic and operational decision-making;
• Design and maintain dashboards and reports using BI tools (e.g., Power BI, Tableau, or similar) to communicate findings effectively to both technical and non-technical users;
• Act as a bridge between business and technical teams — translating business questions into analytical tasks and ensuring data solutions align with business objectives;
• Design and develop data models and data warehouses in Snowflake;
• Develop and maintain ETL processes to move data from source systems to Snowflake;

• Create and maintain views, stored procedures, and other database objects.

   

Requirements:

• Proven experience as Data Analyst with Snowflake in a senior capacity;
• In-depth understanding of Snowflake architecture and best practices;
• Hands-on experience with AWS;
• Strong proficiency in SQL and experience working with large datasets;
• Hands-on experience with data modeling, ETL processes, and data warehousing;
• Solid understanding of data visualization tools;
• At least basic experience in pharmaceutical manufacturing processes needed;
• Capability of working independently and eagerness to continuously develop skills and knowledge.

Bonus points:

• Snowflake Certification
• AWS Certification

US Company is searching for a Senior Data Engineer. Interesting project, distributed team, full-time, an official contract. Remote work, CET business hours.

Brief project description:
The product is a complex platform with applications realized like SaaS, which perform multiple functions for improving Safety, Sustainability and Productivity (works planning / incident management / monitoring & analytics) on high-risky industries: oil & gas gathering and transportation, chemical, building, energy market.

Main Responsibilities:

• Build and operate production data pipelines for product, analytics, and AI.
• Integrate internal/external sources with strong quality, reliability, and SLAs.
• Maintain and improve the data warehouse (performance, cost).
• Model curated datasets/semantic layers and implement transformations as code (dbt or similar).
• Ensure observability and operational readiness (tests, freshness checks, runbooks).
• Support embedded Power BI in production (monitoring, incidents, improvements).
• Partner with stakeholders and AI/ML teams to keep data current and clarify requirements.

Must-Have Requirements:

• 5+ years in data engineering / data platform / analytics engineering roles.
• Strong SQL and experience with relational databases and analytical warehouses/lakehouses.
• Proficiency in Python (or equivalent) for data processing, automation, and APIs.
• Experience with cloud platforms (AWS and/or Azure) and cloud-native data services.
• Production experience with workflow orchestration (Airflow/dbt or similar).
• Solid data modeling skills (dimensional modeling/star schema or equivalent).
• Strong software engineering habits: Git, CI/CD, automated testing, readable maintainable code.
• Clear communication in English and comfort explaining tradeoffs to non-experts.
• BI enablement: Power BI / Tableau / Looker.

Considered as a BIG plus:

• Experience with Snowflake /Databricks/ BigQuery or similar analytical engines.
• Infrastructure-as-code: Terraform, plus Docker
• Experience using AI coding assistants (e.g., GitHub Copilot, Cursor, Claude Code)
• Familiarity with GenAI/LLM and machine-learning fundamentals

Work conditions:

• Distributed team, remote work.
• Kanban or scrum approach, 5-6 team members / team.
• Full-time (40 hours per week).
• Official contract: salary, sick-leave days, holidays, vacations.

Hiring process:
Step 1 - preliminary interview (main questions) - 30 mins
Step 2 - internal tech interview (tech questions) - 40-50 mins
Step 3 - tech interview with team leader and architect - 1 hour

Innovation Systems is the leading all-in-one business management platform servicing clients in the green industry such as landscaping, tree care, lawn care and more, across the globe. Our innovative, cloud-based software integrates everything from CRM and scheduling to GPS tracking and business analytics, ensuring seamless workflow and exceptional customer satisfaction. With a dynamic and fast-growing team of 80+ professionals, ArboStar is committed to delivering exceptional products and services that help our clients succeed.
 

Why Innovation Systems? At Innovation Systems, we foster a dynamic and supportive work environment where creativity, collaboration, and dedication to excellence are valued. Join our team and help revolutionize the green industry with innovative technology and outstanding service.

Key Responsibilities: 

• Gather, analyze, and document requirements from stakeholders; create specifications, diagrams, and mockups in Figma.
• Collaborate with developers, QA, and the team to deliver clear task descriptions, refinements, and smooth implementation.
• Plan and prioritize features in the backlog, supporting product roadmap execution.
• Conduct competitor and SaaS/CRM market research and comparative analysis.
• Define requirements for AI integrations (OpenAI, assistants, automation) and configure improvements for the AI bot in Innovation Systems.
• Prepare and maintain technical/business requirement documents across the full development lifecycle.
• Contribute to problem-solving and other BA tasks to ensure project success.

Requirements: 

• At least 4+ year of experience as a Business Analyst (2+ years and direct SaaS/CRM product experience will be a strong advantage).
• Confident English (B2–C1), with excellent written and verbal communication skills.
• Proven experience in requirements gathering, business process modeling, and drafting technical specifications.
• Hands-on experience with Figma, diagramming tools, and Jira (or other task-tracking systems).
• Understanding of AI/ChatGPT API principles and strong interest in applying AI to SaaS solutions.
• Practical knowledge of Agile/Scrum development methodologies.
• Ability to work with databases and basic understanding of SQL.

• Basic programming knowledge (theoretical understanding of PHP or other languages is a plus).

   

We Offer:

• Work schedule: 14:00 - 22:00 Kyiv Time 
• An opportunity to significantly influence the direction of the company;
• Steep learning curve and personal growth opportunities;
• Access to courses and training;
• Corporate English language training;
• Paid vacation;
• Competitive salary.

Role overview

We are looking for a Data Analyst who will contribute to building the analytical logic of the product and work with large-scale, socially structured datasets.

This role goes beyond traditional reporting analytics. The focus is on exploratory analysis, structuring complex data, identifying meaningful signals, and contributing to the logic behind search and matching mechanisms.

Key responsibilities

• Perform exploratory analysis of large datasets to identify patterns and signals affecting result quality and relevance.
• Design and maintain controlled vocabularies (skills, titles, industries, locations, etc.).
• Normalize and structure unorganized and semi-structured data.
• Build and maintain hierarchies, classifications, and logical relationships between entities.
• Contribute to the analytical logic behind search and matching mechanisms.
• Formulate and validate hypotheses using data-driven approaches.
• Evaluate the impact of different data signals on outcomes.
• Visualize and communicate analytical findings to support product decisions.
• Work closely with founders and the product team.

Required technical skills

• 3+ years of experience as a Data Analyst or in a similar analytical role.
• Advanced SQL proficiency: complex joins, aggregations, query optimization.
• Experience with BI tools: Tableau (preferred) or Power BI 
  BI tools are used for research and analytical exploration rather than routine dashboarding.

• Strong data visualization skills.

   

Required analytical & cognitive skills

• Strong critical thinking and hypothesis-driven approach.
• Ability to work with ambiguous problems without predefined solutions.
• Experience working with unstructured or semi-structured data.
• Ability to design hierarchies, classifications, and entity relationships.
• Ability to translate business questions into analytical models.
• High attention to detail and data quality.

• Research-oriented mindset and proactive problem-solving approach.

   

Nice to have

• Experience with Python /R for data analysis: pandas, NumPy, etc.
• Experience with ETL processes and data pipelines.
• Experience or familiarity with graph databases (e.g., Neo4j).
• Experience working with social, network-based, or relationship-driven datasets.

Description

You will be a key leader in the AI-Data Delivery Pod, contributing to enterprise solutions that turn complex domain documentation into machine-usable intelligence. The focus is on building “Self-Evolving Knowledge Bases” that power intelligent assistants and decision-support systems. You will operate within a high-speed, Fix Price delivery environment where the synergy between human expertise and agentic execution is the primary driver of success, all integrated within the client’s existing Azure infrastructure.

Requirements

We are looking for a Junior AI / ML Engineer (Generative AI) to join our AI & Data practice. This role is designed for an early-career, AI-native engineer who is comfortable using modern GenAI tools and wants to grow on real projects under the guidance of senior ML / AI experts.
You will help rapidly prototype ideas, build small PoCs, and experiment with solutions based on large language models (LLMs) and other generative AI techniques. Your focus will be to implement well-defined tasks, run experiments, and use GenAI tools to speed up coding, analysis, and documentation – while learning how to do this safely and reliably in production-oriented environments.

Required Qualifications

• 1–2 years of experience in software development, data science, or ML (commercial experience, internships, or strong personal projects).
• Solid basic skills in Python and core data/ML libraries (e.g., NumPy, pandas, Scikit-learn).
• Understanding of fundamental ML concepts (datasets, train/validation split, basic metrics, overfitting).
• Practical familiarity with generative AI / LLMs:
   – regular use of tools like ChatGPT, Copilot or similar for coding and data tasks;
   – basic understanding of prompts, context windows, and common limitations (hallucinations, privacy, bias).
• High motivation to learn, ask questions, and accept feedback.
• Organized and responsible: able to follow a spec, document work, and meet agreed timelines.

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field.
• Course work, pet projects, or a thesis related to ML, NLP, or Generative AI.
• Basic exposure to RAG, embeddings, or vector databases (from articles, courses, or small experiments).
• Familiarity with at least one cloud platform (Azure, AWS, or GCP) from labs or online courses.
• Experience with Jupyter notebooks, Git, and simple CI/CD or MLOps tools (even at a “student project” level).
• Participation in hackathons, Kaggle competitions, or open-source projects.

Job responsibilities

• Rapidly prototype and iterate on ML / GenAI ideas in notebooks and scripts, turning high-level concepts into small PoCs and demo flows.
• Implement well-defined tasks in Python (data preprocessing, basic model training, evaluation scripts, and utility functions) as part of prototypes and production-oriented components.
• Assist in experiments with LLMs and GenAI APIs (prompt variants, small workflows, simple RAG setups) under the guidance of senior engineers, proactively suggesting new options and documenting what works and what doesn’t.
• Use GenAI tools to support your daily work (coding, tests, documentation, exploratory analysis) and capture key findings in a clear, structured way.
• Prepare and clean datasets, run experiments, and summarize results in concise formats (tables, short reports, simple dashboards).
• Help build and maintain demo environments and internal PoCs for ML / GenAI use cases, keeping them reproducible and easy to reuse.
• Follow coding standards, version control practices, and basic quality processes (code reviews, simple tests, logging).
• Actively learn from senior team members, ask questions, and gradually take ownership of small components within larger solutions.

Hi!

We are happy to introduce you to Softsich! We are a young, ambitious, and fast-growing company that creates innovative digital products and is confidently expanding its presence in global markets.

We are currently looking for a Data Analyst to help our teams make data-driven decisions. Your main mission will be to prepare reports, automate analytical processes, and complete ad-hoc tasks. If you enjoy working with data, are able to find patterns in it, and can turn numbers into a comprehensible story, this role is for you.

Responsibilities:

• Preparing data using SQL for further visualisation.
• Developing DAGs in Airflow (working with Python).
• Visualising data and building reports in Tableau.
• Preparing regular reports and executing ad-hoc queries for the Retention Department.
• Optimising existing data collection and processing processes.

Our ideal candidate has:

• At least 1.5-2 year of commercial experience as a Data/Business Analyst (preferred).
• Strong SQL skills (ability to write complex queries using CTEs, window functions, and joins).
• Good knowledge of Python (experience with pandas, understanding of functions, ability to write modular scripts).
• Experience working with Tableau.
• Strong sense of responsibility and proactivity.
• Fast learner with high attention to detail.

We Offer:

• A flexible schedule and remote format, or offices in Warsaw/Kyiv — you choose.
• 24 paid vacation days, sick leave, and health insurance (UA-based, other locations in progress).
• A supportive, friendly team where knowledge-sharing is part of the culture.
• Coverage for professional events and learning.
• Birthday greetings, team-building events, and a warm human connection beyond work.
• Zero joules of energy to the aggressor state, its affiliated businesses, or partners.

Join our team, where data is not just numbers, but the basis for big decisions! 

Send us your CV and start your journey to new career heights with us! 🚀

We help small and medium-sized ISPs, telcos, and other businesses around the world keep pace with larger Tier 1 operators and global OTT / IPTV players.

As a family-owned company, we maintain close, long-term relationships with our customers, many of whom are also independent, family-run businesses.

We believe that small businesses should have access to the same advanced technologies used by the biggest operators, so that people everywhere, no matter how remote, can enjoy the same quality of experience. We deliver these technologies through our backend platform and applications across iOS, Android, Tizen, WebOS, Web, and Roku.

The Opportunity

We are looking for a Technical Business Analyst (with a fast-track to Product Owner) to join our Product team and help shape the future of our IPTV / OTT platform used by telecom operators, hotels, and service providers worldwide.

This is a hands-on and self-driven role. You will be expected to lead the discovery phase for your area: talk to stakeholders, explore data, understand how things work end-to-end, and turn all of that into clear product decisions and requirements. Over time, we expect this role to take over a significant part of Product Ownership for one or more domains.

You will work closely with the Product Manager, development, DevOps, and QA teams, but you will be able to move forward independently and unblock yourself whenever possible.

What You Will Do

• Own the discovery phase for features and initiatives: clarify the problem, explore options, and propose solutions.
• Work directly with customers and internal stakeholders to collect, challenge, and refine requirements.
• Analyze API payloads, XML, JSON, and text logs to understand current behavior, edge cases, and issues.
• Use light scripting and tools to clean, transform, and analyze input data when needed.
• Spin up and verify simple environments using Docker (and optionally Kubernetes using a GUI) to explore features or validate assumptions.
• Translate business needs into detailed user stories, acceptance criteria, and supporting documentation.
• Maintain a clear, prioritized backlog together with the Product Manager and gradually take ownership of product decisions in your domain.
• Support the team during development and testing, answering questions and adjusting requirements as needed.

• Use AI tools daily to improve quality and, in some cases, speed up research, analysis, and documentation while retaining ownership of the outcomes.

   

You Are Our Ideal Candidate If You Have

• At least 4 years of experience as a Business Analyst or Product Owner in product or software companies.
• Strong understanding of the product and project life cycle and experience managing requirements through all stages.
• Proven ability to analyze and document requirements, write technical specifications, user stories, and acceptance criteria.
• Practical experience working on global projects and collaborating directly with clients.
• A deep understanding of product functionality from both business and technical perspectives.
• Experience with Jira and Confluence.
• Excellent written and verbal communication skills.
• Upper intermediate English level or higher.

• A self-sufficient working style: you are comfortable driving discovery, asking questions, digging into systems, and proposing solutions instead of waiting for detailed input.

   

Technical Skills We Expect

• Ability to read and analyze JSON, XML, and text logs (for example, from APIs, microservices, and integrations).
• Ability to make and understand basic API calls using tools such as Postman or similar.
• Comfort with fundamental data analysis, for example:
  • Filtering and searching in large log files.
  • Simple data checks and comparisons using spreadsheets or scripts.
• Ability to write small, practical scripts in bash, JavaScript, or Python (for example, to parse logs, clean data, or validate assumptions).
• Hands-on experience with Docker:
  • Running and troubleshooting local services using Docker or docker compose.
  • Understanding how services communicate in a containerized setup.
• Experience with Kubernetes or a strong interest in learning it is a plus.
• Confident user of AI tools (ChatGPT, Claude, Cursor) for:
  • Drafting and refining documentation.
  • Exploring solution options.
  • Challenging research results, User Stories, Acceptance criteria, and data exploration.
  • Quick assessment using the internal knowledge base as context.

  • Make bash/python scripts to analyze data (precise)

     

It Will Be a Significant Plus If You Have

• Experience creating user interface sketches or wireframes.
• Experience with Android TV, Apple TV, or Smart TV ecosystems.
• Understanding of APIs, integration flows, and backend systems for content and subscriber management.
• Prior experience working with a white label product setup.

• Experience working in a B2B or telecom / media environment.

   

We Offer

• 24 vacation days plus 12 flexible personal days annually.
• Paid sick leave and fully covered English classes.
• Annual professional development budget for courses, conferences, or certifications.
• Modern office in Odesa, equipped with secure power, connectivity, and a shelter.
• A friendly product culture where your voice shapes the roadmap and processes.

The CHI Software team is not standing still. We love our job and give it one hundred percent of us! Every new project is a challenge that we face successfully. The only thing that can stop us is… Wait, it’s nothing! The number of projects is growing, and with them, our team too. And now we need a Data Engineer.
 

Project Description:

It is a real-time data processing and analytics solution for a high-traffic web application. 
Tech stack.
AWS: AWS Glue Studio, Redshift, RDS, Airflow, AWS Step Function, Lambda, AWS Kinesis, Athena, Apache Iceberg, AWS Data Brew, S3, OpenSearch, Python, SQL, CI/CD, dbt, Snowflake

 Responsibilities:

• Design a scalable and robust AWS cloud architecture;
• Utilize AWS Kinesis for real-time data streaming and aggregation;
• Implemente AWS Lambda for serverless data processing, reducing operational costs;
• Configured AWS RDS (Relational Database Service) for structured data storage and AWS DynamoDB for NoSQL requirements;
• Ensured data security and compliance with AWS IAM (Identity and Access Management) and encryption services;
• Developed and deployed data pipelines using AWS Glue for ETL processes;
• Wrote Python scripts and SQL queries for data transformation and loading;
• Set up continuous integration and continuous deployment (CI/CD) pipelines using AWS CodePipeline and CodeBuild;
• Monitored system performance and data quality using AWS CloudWatch and custom logging solutions;
• Collaborated with other teams to integrate data sources and optimize data flow;
• Achieve a highly scalable real-time data processing system, resulting in a 40% increase in data analysis efficiency and a significant reduction in operational costs.
• Build ETL pipelines from S3 to AWS OpenSearch by AWS Glue
• Upper-Intermediate or higher English level.

👉 About the company
The position is open with a large product iGaming company that has created 100 cutting edge products, operating in 20 different markets, employing 1,300 people.

👉 Who are we looking for?

We are looking for an experienced Head of Database Administration (DBA) to lead and scale our database team. This role combines strategic leadership with hands-on expertise, ensuring stability, scalability, and performance across a diverse database ecosystem.
 

✅ Tech Stack:

✔️ Relational Databases: MySQL, Percona XtraDB Cluster, Amazon RDS, Aurora;

✔️ Analytics & Streaming: ClickHouse, CDC data streaming (Debezium);

✔️ NoSQL: MongoDB;

✔️ Infrastructure: Databases hosted in the cloud, on-premises, and in Kubernetes environments.

✅ Responsibilities:

✔️ Lead and manage a growing DBA team (currently 5 members, with active hiring ongoing);

✔️ Oversee performance, availability, backup, and disaster recovery for more than 100 database servers, including several high-load systems;

✔️ Collaborate closely with development teams, solution architects, and data analysts to ensure database reliability and efficiency;

✔️ Drive adoption of modern practices for database management, migrations, automation, and process standardization;

✔️ Evaluate, implement, and optimize new technologies and solutions to meet evolving business needs.
 

✅ Requirements:

✔️5+ years of experience in a Database Administration role.
✔️ 3+ years of experience in managing teams.

✔️ Proven experience managing large-scale, high-availability database infrastructures;

✔️ Strong leadership and people management skills;

✔️ Experience working across cloud, on-premises, and containerized environments (Kubernetes);

✔️ Excellent problem-solving, communication, and collaboration skills.

​​👉 The company offers:
🏝️23 working days of vacation per year;
🏥 6 sick days without a doctor's note;
🩺Medical insurance;
🎁Birthdays, milestones, and employee anniversaries celebrations;
📍Modern offices with snacks and all the essentials;
🏋️‍♂️Social Club and more than 50 events per year - coming soon;
🍲Breakfasts and lunches (partially covered);
📚Language classes & tennis lessons (partially covered).

😊 About us

ZentixSoft is a young British-Ukrainian full-cycle IT company. We are all about cool solutions and constant growth, and our main principle is People over processes. Our team has been working together for almost 5 years, and now we are looking for a proactive Senior AI Systems Engineer to join a highly technical R&D team.
 

📝 About the project & conditions

The project involves workload characterization, performance modeling, and HW/SW co-design for state-of-the-art AI workloads. You will work on identifying performance bottlenecks, modeling execution patterns, and contributing to system-level optimization strategies involving both software and hardware components.
 

• Format: Outstaff.
• Team Structure: Core technical leadership based in Israel; close collaboration with the Israeli engineering team and periodic interaction with the West Coast (US) team.
• Collaboration: Working directly with senior technical stakeholders involved in architecture, performance analysis, and system design.
   

😉 What we expect from you

• Background: Strong background in AI systems, deep learning internals, or computational modeling.
• Experience: Proven experience analyzing or optimizing AI/ML workloads.
• Deep Understanding: Knowledge of GPU/CPU architecture, memory hierarchy and data locality, parallel compute models, and execution runtimes.
• Technical Skills: Proficiency in Python, C++, or another system-oriented language.
• Performance: Experience profiling and debugging performance bottlenecks and the ability to translate algorithmic concepts into hardware-aware execution strategies.
• Analysis: Strong analytical thinking and deep understanding of neural network computational behavior.
   

🌟 Would be a big plus

• Experience with HW/SW co-design, custom accelerators, or inference runtimes.
• Knowledge of compilers, kernel fusion, graph optimizers, or execution engines.
• Hands-on experience with large-scale AI infrastructure and inference pipeline optimization.
• Research background (PhD or significant contributions such as papers, white papers, internal research).
• Experience bridging research → production.
• Proficiency with performance profiling tools (GPU/CPU profilers, benchmarking frameworks).
   

🚀 Responsibilities

• Analyze and model performance characteristics of modern AI workloads on real hardware.
• Investigate computational and memory bottlenecks in deep learning models (including transformers and LLMs).
• Map algorithmic designs to hardware execution models (GPU, CPU, accelerators).
• Evaluate and improve parallelism, data movement, and memory hierarchy utilization.
• Collaborate closely with AI researchers, systems engineers, and hardware specialists.
• Contribute to architectural decisions and core R&D topics shaping the direction of the product.
• Help define optimization approaches across software, runtime, and system layers.
   

✨ What awaits you at ZentixSoft

• 📈 Professional Growth. We create an individual development plan for your career path.
• 💵 Salary Review. A structured policy to ensure your compensation grows with your skills.
• 🎓 Knowledge Sharing. Access to general training, workshops, and internal knowledge-sharing sessions.
• 🤝 Corporate Culture. Full access to our corporate culture and team activities whenever possible.
• 🗣️ English. We fully cover classes with a teacher.
• ⚖️ Work-Life Balance. We work without overtime and respect your personal time.
• 💻 Tools. We cover the cost of all tools needed for work.
• 🦾 Trust. Zero micromanagement — only freedom in making technical decisions.
   
• Interview process:
  - Interview with Recruiter
  - EnglishCheck
  - Internal Tech Interview
  - Interview with the client
   

📩 If you feel like this is about you - send your CV, and if it's a match, we will get in touch soon!

We are looking for a talented and motivated Machine Learning Engineer to join our team and work on cutting-edge projects in the fields of IoT, robotics, and AI. You will also collaborate with other engineers and researchers to implement machine learning algorithms and optimize performance.

Required Skills:

•2 years experience in the industry

•Experience in building AI/ML based products

•Experience in C++ Software Development using modern standards (C++ 11,14,17)

•Professional knowledge of Python programming and hands-on experience working with libraries such as OpenCV, Pandas, NumPy

•Familiarity with Python ML frameworks such as Pytorch and/or Tensorflow/Keras

•Understanding of designing and implementing various stages ML pipeline

•Understanding base ML algorithms and data processing techniques

•Good analytical skills, and mathematical abilities, being able to translate complex data into actionable insights

Will Be a Plus:

•Experience Embedded C/C++

•Qt experience

We offer:

• Competitive compensation

• Performance evaluations

• Full accounting assistance and support

• Regular annual vacation is 20 working days off

• 100% paid sick leave upon provision of the relevant document(s)

• Holidays are provided according to the residence country’s Law

• Improvement of English language knowledge with our teacher

• Smart and useful presents for our employees and their kids

• Great atmosphere, creative corporate parties, and true

Why P-Product:

• Though we have many different projects with different histories and of different ages, we always grant interesting work, challenging tasks, interesting collaboration, and positive thinking

• We grant individual approach to each of our employees elaborating on him or her career growth strategies

• We invest into the technical education of our employees finding them special courses, trainings, conferences, and meetups

• We organize and conduct a great number of local team-building events and activities

• Though often working in the customer’s team, our employee know that they are carried about, protected, and helped by the P-Product back-office team

• Our specialists are never alone with their difficult tasks, they always have someone to get a helping hand from

• We understand that communication matters and help our employees with this

• People make P-Product value

• We do not declare, we do :)

RISK inc: An International iGaming Company Pushing the Boundaries of Entertainment
Who We Are:
An international iGaming company specializing in identifying and fostering the growth of high-potential entertainment markets. With 600+ professionals in 20+ locations, we operate in 10 countries, serving over 300,000 customers.
Always Pushing the Boundaries? You Already Belong at RISK!
Our global-scale operations are based on strong internal expertise, analytics, and data research. We have expertise in iGaming operations (sports betting, online casino), digital and affiliate marketing, tech solutions, and data analytics.

We are looking for a Physical Security Infrastructure & Systems Engineer to join our team.

Responsibilities:

• Ensure continuous operation and maintenance of security systems, including CCTV, access control, alarms, and network infrastructure;
• Participate in design and implementation of: AI video analytics solutions (e.g. BriefCam), PSIM platforms (e.g. IMMIX), integrations with InCoreSoft;
• Develop and maintain: response scenarios, risk-based logic;
• Provide technical support for the SOC;
• Quality control of external system integrators;
• Configure and support Mikrotik routers and VPNs for secure remote site connectivity;
• Manage server infrastructure and video storage systems, including monitoring and backups;
• Administer Active Directory for the security team and manage user access across systems;
• Monitor network performance 24/7 and respond to technical issues or security incidents;
• Participate in the planning, deployment, and testing of security systems at local and remote sites;
• Maintain equipment inventory and configure Ajax alarm systems as part of integrated security solutions.

Requirements:

• 2+ years of experience as a system or network administrator in security or technical infrastructure;
• Hands-on experience with CCTV / VMS platforms (specific vendors are not mandatory);
• Solid understanding of SOC / PSIM logic, including: incidents, escalations, operator roles;
• Practical experience with, or strong understanding of, PSIM platforms (IMMIX experience is a strong advantage but not mandatory);
• Practical experience or strong understanding of: video analytics, behavior detection, object tracking;
• Clear understanding of AI as an assistive tool, not an autonomous “autopilot” system;
• Understanding of REST APIs / Webhooks at an integration level;
• Experience working with: external vendors and system integrators;
• Linux (basic level: services, logs, networking);
• Experience in network diagnostics and coordination with ISPs;
• Strong problem-solving skills and a proactive, security-oriented mindset;
• Good written and verbal communication skills in English;
• Willingness to travel occasionally for system installations and technical support.
  
  Our Benefit Cafeteria is Packed with Goodies:
  - Children Allowance
  - Mental Health Support
  - Sport Activities
  - Language Courses
  - Automotive Services
  - Veterinary Services
  - Home Office Setup Assistance
  - Dental Services
  - Books and Stationery
  - Training Compensation
  - And yes, even Massage!

We are now looking for a Data Scientist with LLM usage background to join our development team and help build innovative solutions in medical tourism.
 

Your Role:

As a Data Scientist, you will:

• Extract medical entities and patterns from large volumes of text documents including medical reports, patient histories, and clinical notes using NLP techniques (NER, entity linking) to identify diagnoses, procedures, medications, and symptoms for automated document processing and intelligent search capabilities.
• Implement clustering and similarity detection algorithms to group similar medical cases, treatment patterns, and patient profiles, enabling better matching between patients and healthcare providers through unsupervised learning methods (K-means, DBSCAN, hierarchical clustering) and semantic similarity measures.
• Engineer data architecture for new chatbot features and integrate them with existing tools like CRM, databases, and analytics services.
• Optimize AI solutions to enhance system speed, stability, and quality, including refactoring and improving existing functionalities, while incorporating state-of-the-art AI methodologies and frameworks.
• Build personalized offer-generation services by aggregating data from forms, chats, attached files, clinic price lists, and historical databases to generate real-time, patient-specific proposals.
• Work with databases (MySQL, PostgreSQL, MongoDB) to design scalable structures, write efficient queries, and ensure data security and integrity.
• Test, refactor, and maintain code while documenting key decisions and ensuring clean, maintainable systems.
• Support our chatbot assistant by designing and implementing advanced AI-driven modules (multi-layered task decomposition for optimal results), leveraging Natural Language Processing + LLM services to enhance conversational capabilities and user experience.
• Enhance business processes by brainstorming with Sales and Product teams, suggesting improvements, and exploring new AI/ML advancements (e.g., OpenAI, Lama, other ML tools) to integrate novel solutions into existing workflows.
   

What You Need:

• 4+ years of experience in data science or related fields.
• Strong expertise in Python (preferably with FastAPI).
• A solid understanding of modern big data analysis approaches, clustering, and correlation searches.
• Prompt engineering (OpenAI / Claude models)
• Database architecture skills
• Proficiency in MySQL and MongoDB
• Hands-on experience with AI tools for tasks like text/image analysis and content generation.

What We Offer

• Competitive salary aligned with market standards.
• Engaging projects in the medical tourism and travel industries.
• A collaborative environment of Python and PHP engineers, frontend developers, product managers, and medical coordinators.
• Comprehensive benefits package, including:
  • 22 paid vacation days annually.
  • Medical insurance.
  • Compensation for sports activities.
  • Remote work flexibility with an 8-hour workday starting between 8–10 AM.
• Opportunities to grow your skills with regular updates to your compensation.
• The chance to impact a meaningful product that transforms lives.