Jobs at Djinni

Project description

The project focuses on developing advanced software solutions for the oil and gas industry, supporting key stages of the reservoir lifecycle, including exploration, development, production, operations, maintenance, and abandonment.

The successful candidate will join the Information Management and Platform Technologies Development team and contribute to the design and development of next-generation software products. The role offers an opportunity to work with modern technologies, apply innovative ideas, and build solutions used in complex energy industry environments.

Responsibilities

Key Responsibilities/Accountabilities:

Knowledge of software engineering best practices (including requirements analysis, system design, modularity, version control, testing, documentation, etc.) for productivity, collaboration, quality, and maintainability.

Knowledge of how a component fits into a larger ecosystem of products and services.

Understanding of how these different pieces work together, and communicate with them (using library calls, REST APIs, database queries, etc.)

Know how to build appropriate interfaces for components that others will depend on. Knowledge of basic system design patterns to avoid bottlenecks and let your algorithms scale well with increasing volumes of data.

Perform research and development tasks.

Expected to design, code, test, do troubleshooting and document engineering systems applications by following the software development lifecycle.

Accomplishes engineering and organization mission by completing related results as needed.

Updates job knowledge by studying state-of-the-art development tools, programming techniques, and computing equipment; participating in educational opportunities; reading professional publications; participating in professional organizations.

Skills

Must have

Degree in Computer Science, Engineering, or equivalent. Master's preferred

Software Development Fundamentals

Strong understanding of Object-Oriented Design and Principles

5+ years of professional experience with Java and Angular

Build & CI/CD: Git Ci/CD, Helm

Database background: Posgtess

REST API Express

Hapi

Self-motivated

Problem Solving skills

Works well within a team

Excellent communication skills

Nice to have

Web front-end technologies and tools: HTML5, CSS, SASS, JavaScript, Angular 16+, Angular CLI, Typescript, NPM, and VS Code.

Web back-end technologies: RESTful APIs using Microservices (NodeJS, C#, C++, Python), Express, JSON, OData, Web Sockets, and Java EE.

Testing: JEST, Karma/Jasmine, E2E testing with Protractor.

MAVEN, Jenkins & Ansible, Containerization.

Cloud: Knowledge in cloud technologies (Azure and Amazon)

We are looking for a Salesforce Consultant or Salesforce Developer with a strong consulting mindset to join an international project within a large and complex organization.

The role combines hands-on Salesforce expertise with business consulting, requirements gathering, and stakeholder management. You will work closely with different teams and stakeholders across the organization to understand service processes and translate business needs into effective Salesforce solutions.

Key requirements

• Strong hands-on experience with Salesforce Service Cloud
• Practical experience with Email-to-Case, including the ability to configure and set it up independently
• Experience with Salesforce configuration, administration, and automations
• Strong requirements gathering and consulting skills
• Understanding of customer service and support processes
• Salesforce Field Service experience is a plus
• Knowledge of Agentforce, APIs, and Apex is a plus
• Confident and professional communication skills
• Ability to communicate effectively with stakeholders across different teams and levels of seniority
• Experience working in a large or complex organizational environment is a plus

We are open to both technical Salesforce Consultants and Salesforce Developers with a strong consulting approach.

How to apply

If your experience matches the requirements, please make sure to highlight your relevant Salesforce experience in your CV, particularly your experience with:

• Salesforce Service Cloud
• Email-to-Case
• Salesforce configuration and administration
• Automations
• Consulting and requirements gathering

We are looking for an Automation QA Engineer to join an international FinTech project and work closely with an L2 Support team.

This role is a good fit for an engineer who enjoys investigating technical problems, debugging, working with logs and APIs, and automating repetitive tasks.

You won’t be limited to writing test cases. A significant part of the work will be related to real support tickets: understanding what happened, reproducing issues, checking system behavior and data, identifying possible root causes, and deciding what should happen next.

What kind of tickets will you work with?

The support team handles different types of cases, including:

• Users & Accounts — login and access issues, user creation/deletion, permissions and account-related problems;
• Configuration & Account Lifecycle — account settings, configuration changes, activation/deactivation and configuration-related issues;
• Data — missing or incorrect data, unexpected results and data-related investigations;
• Bugs & Troubleshooting — errors, broken functionality, unexpected system behavior and reproducible technical issues;

You would investigate the case, check the configuration and relevant data, reproduce the scenario, analyze the system behavior and determine whether it is a configuration issue or a product bug. If needed, you would collect the necessary information and escalate the issue to Engineering.

What you’ll do

• Investigate and resolve L2 technical support tickets from a QA/automation perspective.
• Analyze logs, errors, API responses and application behavior.
• Reproduce technical issues and investigate possible root causes.
• Work with user accounts, permissions, configuration and data.
• Identify whether an issue is a configuration problem, expected behavior or a potential bug.
• Develop and maintain automated tests and scripts using Python or Java.
• Automate repetitive troubleshooting and support activities.
• Improve existing automation and scripting solutions.
• Identify recurring support issues and suggest ways to automate or prevent them.
• Collaborate with developers and engineers during complex investigations.
• Document findings, troubleshooting steps and solutions.
• Take ownership of tickets and technical problems from investigation to resolution.

What we’re looking for

• 2–3+ years of commercial experience in Automation QA.
• Strong knowledge of Python or Java.
• Hands-on experience with test automation and scripting.
• Experience troubleshooting technical issues.
• Understanding of APIs and HTTP.
• Basic-to-good SQL knowledge.
• Experience with Docker/Kubernetes.
• Experience with CI/CD.
• Experience with AWS or GCP.
• Strong analytical and problem-solving skills.
• Ability to investigate a problem independently rather than simply follow instructions.

Nice to have

• L2/L3 Technical Support experience.
• Experience with microservices.
• Kafka.
• FinTech / Payments domain experience.
• Experience creating scripts for troubleshooting or operational tasks.

Why join?

• 🌍 International FinTech project.
• 🚀 Work with real production-related technical issues.
• 🎯 Combine automation, troubleshooting and scripting.
• 🤝 High level of ownership and autonomy.
• 💡 AI-first engineering culture with responsible use of AI tools.
• 📈 Opportunity to expand your expertise beyond traditional QA automation.
• 💰 Competitive compensation based on experience and impact.

Role Overview
We are looking for an experienced Deliverability Manager to own and optimize email deliverability across our high-volume newsletter portfolio. This is a highly technical, hands-on role where you will be responsible for ensuring millions of emails reach subscribers'

inboxes every day. You will work closely with the Head of Project, Production Manager, and Marketing team to build, maintain, and continuously improve our sending infrastructure, authentication, reputation, and inbox placement strategy.

Key Responsibilities
• Own inbox placement, sender reputation, and deliverability performance across all
domains, IPs, and ESPs
• Monitor sender reputation across major mailbox providers
• Conduct seed testing and inbox placement analysis
• Investigate and resolve deliverability incidents
• Manage SPF, DKIM, DMARC, and BIMI
• Plan IP and domain warming strategies
• Maintain Google Postmaster Tools, Microsoft SNDS, and feedback loops
• Design and optimize multi-ESP infrastructure
• Lead ESP migrations
• Optimize cold audience deliverability and list hygiene
• Advise marketers on deliverability best practices

• Build dashboards, alerts, and reporting

Requirements
Must Have
• Agency-side deliverability experience managing multiple client projects with tailored
strategies for different audiences, sending infrastructures, and deliverability challenges.
• OR experience as a Deliverability Manager or Email Marketer within gambling, casino,
affiliate, or similarly high-volume performance marketing environments.
• Experience managing 200,000–300,000 email sends per day on a single project (not
aggregated across multiple clients).
• Strong experience building audience segments, automations, lifecycle journeys, and
analyzing subscriber behavior.
• Ability to diagnose and resolve sender reputation issues, inbox placement problems, and
declining open rates.
• Creative and non-linear problem-solving skills, with the ability to test multiple
hypotheses and identify unconventional solutions.
• Excellent English communication skills (C1+).

Nice to Have

• Recent experience (within the last 12 months) managing Yahoo deliverability at
volumes exceeding 50,000 emails per day.

Who We're Looking For
• Ownership mindset
• Commercial thinking
• Strong stakeholder communication
• Thrives in fast-paced environments
• Attention to detail
• Continuous learner

What We Offer
• Professional Growth

• International environment
• Career development
• Learning resources
• High-performing team
• Modern tools

Benefits
• Competitive salary
• Paid vacation
• Paid sick leave
• Work-life balance
• Team events

Working Environment
• Remote or hybrid
• Modern Warsaw office
• Office perks
• Supportive team
• Comfortable workspace

Description
We are looking for Sysadmin to join our office in Dnipro. 

Responsibilities:
- Diagnosing network and hardware failures of servers and network equipment;
- Setting up the router;
- Maintaining office equipment, setting up software, connecting office equipment;
- Search and selection of computer equipment.

Requirements:
- Knowledge of PC hardware and office equipment;
- Understanding of the principles of building local networks, Wi-Fi;
- Experience with Mikrotik router, managed switches.
- Intermediate level of English

An advantage will be:
-Basic Linux system administration skills

Working conditions

• An 8-hour working day without a fixed timetable
• Paid vacation (20 working days) and sick leave (2 weeks) +5 days of undocumented sick leave
• English courses 

The hiring process:
0. Interview with a recruiter - 30 minutes
1. CV review by the hiring manager
2. Technical interview - 1 hour
Offer ​

Why This Role Excites You

Build the Future of IoT: Become one of the first engineers shaping our new IoT direction and work on innovative connected device solutions.

• Work on real-world connected device solutions with mobile and cloud technologies.
• Take ownership and influence technical decisions from the very beginning.

Key Responsibilities

• Integrate IoT devices with iOS and Android applications.
• Work with Bluetooth Low Energy (BLE), Wi-Fi and other communication protocols.
• Integrate SDKs and REST APIs.
• Configure, onboard and test connected devices.
• Troubleshoot communication between devices, mobile apps and backend services.
• Collaborate with Mobile, Backend and QA teams.
• Create technical documentation and evaluate new devices and SDKs.

What We're Looking For

• Commercial experience with IoT products or connected devices.
• Experience integrating hardware with mobile applications.
• Good understanding of Bluetooth Low Energy (BLE).
• Experience with REST APIs and networking fundamentals.
• Ability to troubleshoot hardware–software communication.
• Experience working with SDKs and technical documentation.
• Strong analytical and problem-solving skills.
• English: Intermediate (B1) or higher.

Nice to Have

• Android or iOS development experience.
• React Native or Flutter.
• MQTT or WebSockets.
• AWS IoT, Azure IoT or Google Cloud IoT.
• Basic embedded systems knowledge.

Why Join Us

• Opportunity to build a new IoT direction from the ground up.
• International IoT projects.
• High level of ownership and technical autonomy.
• Flexible full-time or part-time cooperation.
• Remote-friendly environment.
• Career growth into Technical Lead or Head of IoT.
  
  If you're passionate about connected devices, mobile technologies and solving real-world integration challenges, we'd love to hear from you!

About SlotCatalog
 

SlotCatalog is a leading intelligence and data platform in the online casino industry. We serve both players and industry partners by tracking slot games, providing performance insights, and managing large-scale structured data.
 

The business is profitable, fast-growing, and SEO-driven, with strong traction in both organic user acquisition and direct B2B partnerships. As we expand into new regulated markets and continue scaling our affiliate operations, we’re looking for talented professionals to help us grow even faster.
 

The Opportunity: Affiliate Manager

We’re looking for an experienced Affiliate Manager to join our team and take ownership of affiliate partnerships, campaign performance, and business development.
 

This is an exciting opportunity to work across multiple markets, products, and niches in a company where your ideas and initiatives directly influence growth. You’ll play a key role in shaping our affiliate strategy, building processes, and strengthening our partner network globally.
 

What You’ll Do

• Manage and expand SlotCatalog’s affiliate network by building and maintaining strong relationships with partners.
• Stay up to date with active gambling operators, available offers, and new market trends.
• Keep the partner database accurate and up to date.
• Identify and onboard new affiliate partners and business opportunities.
• Set up new affiliate accounts, create and distribute tracking links.
• Monitor and analyze affiliate performance, providing recommendations to improve results.
• Test new integrations, placements, and partnership tools.
• Provide insights into new opportunities, emerging trends, and potential challenges in affiliate operations.
   

What We’re Looking For

• 2+ years of experience in Affiliate Marketing (experience in the iGaming industry is a plus).
• Strong understanding of affiliate marketing principles and performance-based models.
• Excellent written communication skills in English (Intermediate level or higher).
• Ability to manage multiple projects simultaneously with attention to detail.
• Strong negotiation skills and creativity in finding and securing new opportunities.
• Relationship-driven mindset with the ability to handle complex partner interactions.
• Initiative, independence, and a proactive approach to achieving results.
   

What We Offer

🎯 Autonomy & Impact
Take ownership of your projects and partnerships — your ideas will directly influence our global growth.

🏡 Remote & Flexible
Work from anywhere with a schedule that supports your productivity and work-life balance.

🌴 Time Off
Enjoy 28 paid vacation days plus an extra day off on your birthday.

🩺 Health & Recovery
Paid sick leave to support your well-being.

📚 Learning & Development
Access to English courses, internal knowledge resources, and professional development opportunities.

Ready to shape the future of a high-impact product in a growing industry? Let’s talk.

About SlotCatalog
 

SlotCatalog is a leading intelligence and data platform in the online casino industry. We serve both players and industry partners by tracking slot games, providing performance insights, and managing large-scale structured data.
 

The business is profitable, fast-growing, and SEO-driven, with strong traction in both organic user acquisition and direct B2B partnerships. As we expand into new markets, we’re looking for a detail-oriented Finance Specialist to strengthen our financial operations.

The Opportunity
 

We are looking for a Finance Specialist to support our financial reporting, tax compliance, and accounting processes.
 

This role is ideal for someone who is structured, detail-oriented, and comfortable working in an international environment with IFRS standards. You will collaborate closely with internal teams and external accountants to ensure accuracy, compliance, and timely reporting.

What You’ll Do

• Prepare financial statements in accordance with IFRS standards
• Ensure tax compliance and support the preparation and submission of VAT and income tax reports
• Assist external accountants with tax filings and financial documentation
• Support audit processes, including preparation of documentation and responses to auditor requests
• Perform bank reconciliations (incoming and outgoing payments)
• Prepare VAT reports
• Maintain and organize financial and IFRS documentation
• Review company transactions to ensure compliance with accounting standards
• Maintain an accurate and up-to-date counterparty database
• Collaborate with the AR manager, Affiliate, and Legal teams
• Contribute to preparation of reports: Balance Sheet, P&L, Cash Flow, VAT and tax reports
   

What We’re Looking For

• Experience in accounting / finance roles, ideally in an international environment
• Strong knowledge of IFRS and tax compliance
• Experience working with VAT and income tax reporting
• Familiarity with accounting systems (XERO is a plus)
• High level of attention to detail and accuracy
• Ability to meet strict deadlines and manage multiple tasks
• Strong organizational and documentation skills
• Good communication skills and ability to collaborate cross-functionally
   

What We Offer

🎯 Autonomy & Impact
Own your area of responsibility and contribute to building scalable financial processes.

🏡 Remote & Flexible
Work from anywhere with a schedule that supports your productivity and work-life balance.

🌴 Time Off
Enjoy 28 paid vacation days plus an extra day off on your birthday.

🩺 Health & Recovery
Paid sick leave to support your well-being.

📚 Learning & Development
Access to English courses, internal knowledge resources, and professional development opportunities.

Project Description

The project develops a leading software solution for the Energy domain, covering all stages of Oil & Gas production—from geological exploration to the optimization of ongoing production.

The product helps geologists and geophysicists research, visualize, and interpret large volumes of geological data.

This is a stable, long-term project that continuously adopts modern technologies, including Java 11, cloud solutions, and GPU computing. The role involves close collaboration with the customer’s team in Houston and working according to Agile principles.

You will join a senior, supportive, and friendly team, where you will have the opportunity to learn the project’s technologies, explore the existing codebase, and gradually begin working on project tasks.

Responsibilities

• Learn the technologies used on the project;
• Explore and become familiar with the existing codebase;
• Start working on project tasks.

Mandatory Skills

• Strong knowledge of Java Core;
• Knowledge of algorithms, including sorting and optimization;
• English proficiency at the Intermediate level or higher.

Nice-to-Have Skills

• Experience in desktop application development using Java;
• A link to a Git repository with examples of the candidate’s work would be helpful.

Languages

• English: B2 Upper Intermediate.

Sii Ukraine is a subsidiary of Sii Poland — the leader in IT, engineering, and consultancy services with over 7500 IT experts in Poland and more than 250 prestigious customers. We are looking for ambitious and top-quality professionals to join our project teams.

We are looking for a skilled Senior DevOps Engineer to join a project focused on enhancing and modernizing client's cloud platform. This role offers the flexibility of remote work, allowing you to contribute to significant improvements in cloud infrastructure and automation processes. If you are passionate about cloud technologies and automation, this opportunity may be the right fit for you.

Your tasks:

• Building and maintaining platform integrations and automation workflows
• Developing solutions using Go/Golang to enhance cloud operations
• Implementing Infrastructure as Code using Terraform
• Integrating cloud APIs for VMware, Azure, and AWS platforms
• Creating and managing CI/CD pipelines to streamline deployments
• Utilizing PowerShell and Bash scripting for automation
• Managing Kubernetes and container platforms for efficient application deployment

• Applying configuration management tools like Ansible to maintain system integrity

   

Requirements:

• Minimum 5 years of experience in DevOps or cloud engineering
• Hands-on mastery of Go/Golang development
• Experience with VMware and cloud API integrations
• Knowledge of AWS or Azure services
• Advanced level of English
• Tax residency in Ukraine is required

Nice to have:

• Practical experience in Azure and/or AWS platform engineering
• Familiarity with Ansible or similar configuration management tools
• Strong command of Terraform and Infrastructure as Code principles
• Familiarity with CI/CD platforms and automation pipelines
• Experience with Kubernetes and container orchestration

UITOP, a design & development team, we help B2B SaaS products feel simple, modern, and easy to use. As our SDR, you will be the first point of contact, building relationships and moving leads through the funnel toward intro calls. You’re an open-minded, results-driven individual who takes initiative and enjoys testing different approaches to find the best leads!

Responsibilities

• Manage LinkedIn profiles, create content, and engage with potential prospects.
• Contact prospects via LinkedIn and email to convert MQLs into SQLs.
• Craft personalized outreach messages aligned with our ICP and services.
• Propose new lead sourcing strategies and align with marketing/sales teams.
• Own the outbound process and drive continuous improvements.
• Analyze performance and make data-driven decisions to scale outreach.

Requirements

• A curious and open-minded personality. You are naturally interested in the "why" and "how" of things.
• 6+ months of experience in SDR, lead generation, or outreach positions.
• Proficient in LinkedIn and experienced with outreach automation tools.
• Experience in creating email and LinkedIn sequences.
• Effectively communicate the company’s value proposition and be able to read through objections and answer competitive questions.
• Understanding of Sales and Marketing principles.
• Proactive, analytical thinker with a growth mindset and a sense of humor.
• Committed to constant self-improvement and adapting based on feedback.
• Intermediate/Upper Intermediate English.

Bonus points

• Experience in the B2B segment, specifically Design & Development services.
• Experience in social selling on LinkedIn.
• Experience with sales enablement tools.
• Experience with writing posts.

Benefits

• 18 working days of vacation and 10 sick days.
• 50% coverage of English and professional courses.
• Mentorship and support from experienced colleagues.
• Competitive salary with constant performance and salary reviews.
• Financial compensation of coworking 100% (during blackouts).
• Flexible work schedule, remote.

To get things started, we’ll ask you to fill out a short form. It’s the best way for us to really see the person behind the CV. If you don’t hear back from us within two weeks, it means we’re moving forward with other candidates for now. Many thanks for your time and for understanding our process. 

We are hiring for a fast-growing iGaming company focused on launching and scaling products in Tier-1 markets.

The company operates across multiple verticals, combining Product, CRM, Marketing, Analytics, and Operations teams to deliver high-quality gaming experiences and sustainable business growth.

We are looking for a proactive and analytical Product Operations Manager who will ensure smooth product operations, monitor business performance, and drive continuous improvements across the product ecosystem.

ABOUT THE ROLE

You will be responsible for maintaining product stability, monitoring key performance metrics, coordinating cross-functional initiatives, and ensuring operational excellence across the business.

This is a role that combines Product Operations, Product Management, Analytics, Process Management, and Stakeholder Coordination responsibilities.

You will work closely with Product, Tech, CRM, Marketing, Support, and external partners while playing an important role in launching and scaling a new Tier-1 market project.

WHAT YOU WILL DO

• Monitor product and operational KPIs and ensure stable day-to-day operations
• Analyze product performance, user behavior, and business metrics
• Identify operational issues, bottlenecks, and opportunities for growth
• Investigate and resolve product-related incidents and operational challenges
• Coordinate communication between Product, Tech, CRM, Marketing, Support, and external partners
• Manage operational processes, workflows, and improvement initiatives
• Work closely with third-party providers, vendors, and technical partners
• Support product launches, releases, and new feature rollouts
• Improve transparency, reporting, and cross-functional collaboration
• Contribute to the launch and growth of a new Tier-1 market project

WHAT WE ARE LOOKING FOR

• 2+ years of experience in Product Operations, Product Management, Operations, or a similar role within iGaming
• Hands-on experience with Online Casino and/or Sportsbook products
• Strong understanding of product and operational KPIs
• Experience working with data and making data-driven decisions
• Experience managing operational processes, incidents, and product changes
• Experience coordinating multiple stakeholders and departments
• Understanding of the iGaming ecosystem, including payments, CRM, marketing, and affiliate operations
• Experience working with external providers and technical partners
• Strong analytical and problem-solving skills
• Excellent communication and organizational abilities
• English level Upper-Intermediate (B2) or higher

WILL BE A PLUS

• Experience launching products in Tier-1 markets
• Experience working with major iGaming platforms and providers
• Knowledge of CRM systems, bonus mechanics, and player lifecycle management
• Experience with BI tools, reporting systems, and product analytics
• Understanding of affiliate marketing, tracking, attribution, and CPA models
• Experience working with APIs and third-party integrations
• Familiarity with Jira, Confluence, and project management tools

WHY JOIN

• Opportunity to launch and scale a new Tier-1 market project
• Direct impact on product performance and business growth
• High level of ownership and autonomy
• Fast-paced and international environment
• Close collaboration with experienced Product and Operations teams
• Opportunity to influence processes and operational excellence across the company
• Competitive compensation based on experience
• Long-term growth opportunities within the business

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 ML Engineer / Applied Scientist to join a multidisciplinary team working on a network intelligence and reliability project for a distributed wireless sensor network.
The role focuses on evaluating the feasibility and potential value of machine learning and advanced analytics for network-state understanding, degradation prediction, capacity forecasting, decision support and predictive maintenance.
You will work with real-world network telemetry, historical operational data, simulator-generated data and controlled field experiments.

Responsibilities:
ML & Data feasibility
- Assess the availability and quality of historical data for ML use cases
- Analyze data coverage, class/event distribution, temporal coverage and labeling quality
- Identify data gaps and determine whether additional instrumentation or data collection is required
- Evaluate whether the available data contains sufficient signal for predictive or classification tasks
- Define appropriate training, validation and test strategies for temporal and network data
- Avoid data leakage and ensure that evaluation reflects realistic deployment conditions
Network-state analytics
- Work with the Network Architect and Data Engineer to define an analysis-ready representation of network state
- Analyze network states based on variables such as: topology, node/link status, routing, RSSI/SNR, packet loss, latency, traffic/load, battery state, device availability
- Develop analytical and ML approaches for identifying healthy, degraded, constrained or unstable network states
- Investigate temporal patterns and transitions between network states
Baseline development
- Establish reproducible statistical and deterministic baselines
- Define appropriate evaluation metrics for each hypothesis
- Compare candidate ML models against simple baselines
- Quantify whether ML provides meaningful improvement over existing approaches
- Analyze trade-offs between accuracy, complexity, interpretability and implementation requirements
Simulator-based experiments
- Work with the Network/Embedded Engineer to use the existing network simulator for controlled experiments
- Analyze simulator-generated datasets
- Compare simulated and real-world data distributions
- Assess whether synthetic data can safely be used for model development and evaluation
- Support scenario generation and experiment design
- Evaluate whether simulator results generalize to observed real-world network behavior
- Help identify simulator calibration requirements

Requirements:
- 4+ years of professional experience in Machine Learning, Applied Data Science, Data Science Engineering or a related field
- Strong Python skills and hands-on experience with ML/data science workflows
- Strong understanding of: supervised and unsupervised learning; classification; regression; time-series analysis; anomaly detection; forecasting; model evaluation.
- Experience working with temporal and event-based datasets
- Strong understanding of data leakage, train/validation/test splitting and evaluation methodology
- Experience building reproducible ML experiments
- Strong statistical fundamentals
- Experience establishing and evaluating non-ML baselines
- Ability to work with imperfect, noisy and incomplete real-world data
- Ability to translate a technical/business hypothesis into a measurable ML experiment
- Ability to communicate model results, limitations and uncertainty to technical and non-technical stakeholders

Nice to have:
- Network / Telemetry / IoT
- Experience working with data generated by: wireless networks, IoT devices, sensor networks, telecommunications systems, distributed infrastructure, industrial systems, robotics, edge devices
- Experience with network telemetry such as: RSSI, SNR, packet loss, latency, link quality, routing, topology, network load, node availability, battery telemetry
- Graph & Network analytics
- Simulation & Synthetic data
- Forecasting & Reliability
- Experience with: degradation prediction, reliability modeling, predictive maintenance, capacity forecasting, anomaly detection, failure prediction, survival/lifecycle analysis
- Experience in telecommunications, IoT, industrial systems, robotics, defense or other physical-system domains would be a strong advantage.

Technical Skills:
Required
- Python
- NumPy
- Pandas
- scikit-learn
- SQL
- Git
- Jupyter / equivalent experimentation environment
Preferred
- PyTorch
- XGBoost / LightGBM
- Time-series libraries
- NetworkX
- MLflow or similar experiment tracking
- PyArrow / Parquet
- PostgreSQL / TimescaleDB or similar
- Cloud data/ML services

We are looking for a Senior AI / Machine Learning Engineer with a strong software engineering and backend development background.

Full-time | Remote | Long-term engagment

Start: ASAP

Candidate location: EU

This is a hands-on engineering role combining Machine Learning, LLMs, backend development, and MLOps. We are looking for someone who can take an AI/ML use case, build the required solution in Python, integrate it with existing services and workflows, and make sure it can be run, tested, and maintained in a production environment.

The ideal candidate has strong experience with Python and backend development, a solid understanding of Machine Learning, and practical experience working with LLM-based solutions. Experience with AWS is required, while knowledge of Docker, Kubernetes, and MLOps is important for working effectively with the existing engineering and platform teams.

Our current focus is increasingly moving towards LLM-powered solutions. We are particularly interested in engineers who have practical experience integrating LLMs into real applications and business workflows. Experience with technologies such as OpenAI, AWS Bedrock, or Google Gemini is highly relevant, as well as experience with RAG, embeddings, model adaptation, or fine-tuning.

At the same time, this is not a research-focused or prompt-engineering role. We need someone with strong engineering skills who can build the backend and internal services around AI capabilities. Experience with APIs, databases, asynchronous processing, authentication/authorization, and writing maintainable production code is important.

You should also have a good understanding of MLOps and the ML lifecycle, including how models and AI services are developed, tested, deployed, monitored, and maintained. Hands-on experience with Docker and basic Kubernetes knowledge is expected.

Deep DevOps expertise is not required. Our Application Platform Team is responsible for most of the infrastructure and production deployment. However, you should be comfortable working with cloud-based environments, understand the principles behind MLOps, and be able to independently run and test your solution locally using the appropriate development and containerization tools.

Experience with AWS is essential. Experience with services such as SageMaker is useful, particularly for traditional ML use cases, although the main focus of the team is now shifting towards LLM-based applications.

Experience building AI agents is not a requirement. What matters most is practical experience using LLMs as part of existing applications, internal services, and business processes.

Key requirements

Strong Python and software engineering skills

Significant backend development experience

Experience building APIs and internal services

Solid understanding of Machine Learning and ML model lifecycle

Practical experience with LLMs / Generative AI

Experience integrating LLMs into applications and workflows

Strong AWS experience

Understanding of MLOps

Experience with Docker and basic Kubernetes

Experience working with databases

Understanding of asynchronous programming and concurrency

Experience with authentication and authorization

Ability to run, deploy, and test solutions locally

Experience with OpenAI, AWS Bedrock, or Google Gemini

RAG and vector search

Embeddings

LLM evaluation and optimization

Fine-tuning / adapting foundation models

LangChain or LangGraph

MLflow, Kubeflow, SageMaker

Kafka, Redis, or similar distributed systems technologies

Project Description

You are a person who loves watching tables, review that everything works.
You were a spider in your previous life and you hate it when some thread does not work.
You love finding any issues in the system and drilling in the issues as far as you can.
You enjoy working in untypical hours. [Evening shifts] [Early morning shifts]
You feel that you can make streaming services work seamlessly. By addressing issues as fast as you can.
Join the content experts team to watch content and content tools to deliver the best quality possible with no threads broken.

Job Description

- At least 1-year experience in a similar position (Product Support or relevant experience etc.)

- Good English language skills (at least intermediate spoken and written level)

- Strong knowledge of ticketing systems and troubleshooting workflows.

- Jira, Grafana, Datadog knowledge

- Networking understanding

Good to have:

- Automation scripting, and tech support skills

- Cloud computing

- Web applications and servers architecture understanding,

- HTTP, REST API Monitoring tools and principles

Job Responsibilities

Shift Details & Work Schedule:
- Hours: 30–40 hours per week.
- Shifts: 6:00 AM – 3:00 PM or 2:00 PM – 11:00 PM, Monday through Sunday.
- Note: Flexibility is required. Shifts may include 8–12 hours on weekends and/or additional night shifts based on client requests.

Key Responsibilities:

During your shift, you will be responsible for monitoring, triaging, and escalating issues during non-regular working hours. Specifically, you will:
- Monitor content streaming tools to identify and report any system issues.
- Monitor content delivery tools to detect and troubleshoot transcoding errors.
- Ensure third-party vendor tools and integrations are working seamlessly.
- During monitoring downtime, review streaming content and provide quality feedback.