Jobs at Djinni

Dataforest is looking for a Data Scientist to join an interesting software development project in the field of Cybersecurity. Our client's platform offers Identity Insights drives real-time, multi-contextual digital forensics to protect new account opening workflows and expose fake accounts already in a customer database.

    Required Qualifications

• 2+ years of experience working with large-scale, complex datasets.
• Experience with imbalanced data.
• High proficiency in Python for data analysis, feature engineering and modeling.
• Expertise in exploratory data analysis and preparing clean, structured datasets for model development.
• Hands-on experience with AI/ML techniques:
• Supervised (eg. gradient boosting, decision trees, etc.)
• Unsupervised (eg. anomaly detection, clustering, etc.)
• Familiarity with basic statistical concepts and model evaluation metrics (eg. precision, recall, ROC-AUC).
• Upper-intermediate (B2) or higher level of English.
  
  Nice to Have
• Hands-on experience in the fraud/risk domain.
• Experience with Databricks (including Pyspark) for data processing, experimentation, and model development.
• Experience in MLflow library for experiment tracking and model lifecycle management.
• Experience working with diverse data sources (e.g., behavioral, device, or transactional data) and deriving meaningful features.
• Experience assessing data quality and validating new data sources in production environments.

     Key Responsibilities

• Analyze large-scale transaction datasets to identify fraud patterns and risk signals.
• Develop and validate ML models for risk scoring and fraud detection/classification.
• Support deployment of models into production environments by collaborating with the development team.
• Monitor model performance, conduct regular evaluations, analyze the results.
• Perform feature engineering to continuously improve model performance.
• Collaborate with the client on R&D efforts, including exploratory data analysis, feature development, and testing new approaches.

     We offer

• Great networking opportunities with international clients, challenging tasks;
• Building interesting projects from scratch using new technologies;
• Personal and professional development opportunities;
• Competitive salary fixed in USD;
• Paid vacation and sick leaves;
• Flexible work schedule;
• Friendly working environment with minimal hierarchy;
• Team building activities and corporate events.

3 years minimum overall experience:
- 2 years with low-code
- 1 year with n8n

Full-time
2 months with possible prolongation

Work on 5-6 low-code integrations with partners via n8n. Partially reuse existing setup. Low-code Lead is available for onboarding and assistance

We offer:

• Cooperation with a stable company with well-established processes and a positive atmosphere
• Experience in project management of different levels of complexity, methodology, and approaches
• Flexible schedule: Mon-Fri (8 hours a day)
• 18 days of paid vacation; 15 days sick leave
• A decent level of remuneration with regular reviews of the results of cooperation
• Extensive loyalty program 

Position Overview

We are seeking an experienced Data Scientist/ML Engineer specializing in neural networks, with 3+ years experience in the applied field. The ideal candidate should be a great mentor and team player; python ninja with a strong background in various neural network architectures (recurrent, convolutional, feedforward, etc.) and a deep understanding of developing, tuning, and deploying different architectures. This role also requires excellent Python programming skills and a solid foundation in data analysis and statistics. If you strive in a fast pace environment, with tight deadlines but fast professional growth, you are welcome in our team!

Key Responsibilities:

• Create statistical summaries to support hypothesis testing and data-driven decisions during EDA
• Implement data preparation and feature engineering pipelines for the models
• Plan and implement algorithms for predictive modeling.
• Provide continuous improvement of models in production
• Lead the ML-driven python coding for end to end model deliveries, support our ML-related libraries/
• Collaborate with a cross-functional team of specialists, including senior and junior data scientists, Python developers and ML engineers, data analysts, and DevOps specialists.
• Provide expertise in tuning loss functions, metrics, sample weights adjustment, hyperparameter tuning and model improvement in general.
• Generate detailed evaluation reports, summarizing key findings and presenting actionable insights to stakeholders.
• Keep up with tight deadlines, agile environment of work with evolving objectives and KPIs, having the highest level of organisation and self management to provide a full work clarity, extensive tracking and documentation of your work.

Required Skills and Qualifications:

• Minimum of 3 years of professional experience as a Data Scientist or Machine Learning Engineer.
• Proficient in building custom neural networks using PyTorch.
• Strong experience with various neural network architectures specialised for time-series modelling and tabular data predictive modelling 
• Proficiency with neural network layers (like LSTM, GRU, Conv1D, Dense, Dropout, BatchNormalization) and activation functions (ReLU, Sigmoid, Tanh, Softmax).
• Experience with time series data, including loading, cleaning, and feature engineering using libraries like pandas, numpy. Knowledge of Darts library would be a large bonus.
• Expertise in model development, including selecting and developing models from the Darts library and building custom neural network architectures.
• In-depth knowledge of Python programming and relevant libraries (e.g., Scikit-learn, Pandas, PyTorch, Shap). We want to emphasize this requirement of excellency in python, including good working OOP knowledge. We do noе accept candidates with partial experience in python, as our projects require solid programming skills for writing and supporting data science related functionalities and libraries
• Solid understanding of statistics and data analysis.
• Skilled in using and tuning loss functions such as MSE, MAE, Cross-Entropy Loss, and custom loss functions relevant to time series forecasting.
• Experience with hyperparameter optimization using libraries like Optuna or Hyperopt.
• Capable of implementing and optimizing training loops in PyTorch, including data loaders and training validation steps.
• Knowledge of time series-specific cross-validation techniques and regularization methods to prevent overfitting.
• Strong skills in evaluating model performance using metrics like MSE, RMSE, MAE, MAPE, and R-squared.
• Familiarity with backtesting functionalities for validating model performance.
• Experience in model deployment, including serialization and deployment of models for real-time services.
• Strong communication skills for presenting findings and progress to stakeholders, using visualizations created with matplotlib, seaborn, or plotly.
• Proficiency in using Git for version control and collaboration.
• Major education in Data Science, Computer Science, or a related field IS A MUST. We do not accept people with other backgrounds.
• Certifications in deep learning are preferred.
• Excellent command of spoken and written English.
• Strong self-management, time management, and organizational skills.

• Ability to work under a structured management system while independently handling creative tasks.

   

What We Offer:

• Competitive remuneration package.
• Bonuses
• Professional mentorship and guidance from experienced team members.
• Opportunities for professional growth and continuous learning.
• A dynamic and collaborative work environment.
   

About DataObrii
DataObrii is a high-tech consulting firm specializing in data science, machine learning, and AI-augmented Internet of Things. Our team comprises experienced data scientists, python engineers, devops, hardware electrical engineers, and business analysts dedicated to delivering innovative, data-driven solutions that enhance business intelligence and efficiency. We emphasize continuous improvement, keeping up with current and emerging technologies, and delivering complete timely, effective solutions.

Our Values:

• Efficiency: We employ an agile approach to ensure timely delivery of high-quality solutions. This governs fast delivery cycles, quick and efficient solutions, iteratively going from PoC developments to fully enhanced production systems.
• Professionalism: Our commitment to excellence drives us to achieve success for our clients. This includes both technical and ethical proficiency required from all our employees.
• Creativity: We utilize design thinking to develop innovative solutions that address complex business challenges.
• Care: We invest time in understanding our clients' business models to provide tailored solutions that align with their objectives.
   

We are currently seeking a qualified and experienced Technical support (night) engineer to join our team.

Preferred skills:

 - Working experience in gambling support/tech support teams;
 - Working experience with RMG projects.

Must have skills:

 - Strong user of Jira Software/Jira service management/Any desk/ Google workspace, etc.
 - English level: Upper-Intermediate;
 - Strong verbal and corporate communication skills;
 - Understanding of the software lifecycle;
 - Ability to learn quickly and work as a part of a team;
 - A challenging and inquiring mind;
 - Attention to detail and tenacity;
 - Quick logical thinking;
 - Sociability, communicability;

Responsibilities:

 - Monitoring of high-priority services,
 - Testing: performance and the new functionality used;
 - Diagnostics and solution of user problems when working with the software used;
 - Prioritizing user requests;
 - Providing individual solutions for customers based on their business needs.

 - Working hours from 21:00 to 9:00 (2/2)

We are looking for a Senior Data Analyst. 

This is not a standard analyst role. We are building a dynamic identity resolution system where AI is deeply integrated — both as a productivity multiplier and as a core component of our data processing logic for identity resolution and LLM-based scoring.

We run enrichment against 70+ TB of data, apply AI and LLM-based scoring on top, and process around 20 million enrichment operations per day across hundreds of thousands of records.

The analytical challenges ahead are substantial: how to measure the quality of AI-driven scoring, how to validate that a change makes the system better, how to know where our money and time deliver the most value, and how to turn the questions our internal teams bring in into fast data-backed answers. You will own this side of the business, working daily alongside engineers and the product lead to turn these challenges into decisions that ship.

The main part of the role is not building dashboards — it is the data work that makes a meaningful dashboard possible in the first place. Concretely, you will be:

• Looking at data from multiple vendors side by side and deciding what to trust.
• Reconciling entities across sources that have different shapes and quality.
• Proposing and validating the logic that matches and scores them.
• Defining metrics and ground truth for questions nobody has asked before.
• Tracing why numbers don't line up across partial and sometimes contradictory sources.

Dashboards and visualizations are part of how findings get communicated, but they come at the end — the surface of the work, not its core. Most of your time is spent on what sits underneath: methodology, judgment calls on data quality, and shaping how the domain understands its own numbers.

Responsibilities

• Measurement & Evaluation Foundations: Define how we measure what matters — data quality, the accuracy of our AI scoring, how many records actually get matched to usable signals, cost per outcome. Build the feedback loops that tell us whether a change makes the system better or worse.

• Scoring Intelligence (co-owned with engineers): Partner with the engineering team on the LLM-based scoring system. You will build the evaluation framework for AI scoring, run experiments comparing prompts, models, and approaches against a baseline, and make data-backed calls on where we invest next. Our AI scoring system is actively evolving — you will shape how we measure and improve it.

• Client-related Analysis: Own the analytical side of the work that internal sales and media-buying teams bring in from pharma clients — how reachable a target audience is, how good the data looks, why a campaign performed the way it did. You turn their questions into data-backed answers they can use. Identity is a product core; the analyst works with internal teams, not with clients directly.

• Cost and Value Analysis: Turn cost and value into product decisions. Which data sources and enrichment scenarios pay off, where we overspend, what to cache, what to cut. We operate a mix of free owned data and paid external providers — the decisions have real dollar impact.

• Active AI Usage: Use Claude Code and modern AI engineering tools to multiply your own output. Automate the repetitive parts of analysis so you can focus on the decisions. We provide Claude Code licenses and expect active daily use.

• Data Quality Response: When pipeline output drifts, a provider degrades, or upstream data shifts, you notice first, diagnose the root cause, and drive the fix. You treat data quality as a product, not a ticket queue.

Requirements

• 5+ years as a Data Analyst, Analytics Engineer, or Data Scientist in a product team (not consultancy, not BI-only roles).
• Advanced SQL at TB scale — BigQuery, Snowflake, or equivalent warehouse. You can read and write complex queries on tens of terabytes without someone pre-modelling the data for you.
• Python for analysis at a working level — pandas, Jupyter, or modern equivalents. Comfortable putting together a small script or helper when an existing tool doesn't cover your case.
• Built measurement or evaluation frameworks from scratch for systems that had no baseline. You are comfortable defining what and how to measure, not consuming someone else's KPI.
• Comfort with probabilistic systems. You understand that noise is inherent and 100% accuracy is not the goal — scoring, matching, ranking.
• AI-native workflow. You already use Claude Code, ChatGPT, Copilot, or similar AI tools daily and integrate them into your analytical process.
• English: B2+ (Upper-Intermediate) or higher.

Strong plus (one or more)

• LLM evaluation experience — A/B testing AI-powered features, output scoring, prompt iteration with measurable outcomes.
• Identity resolution / identity graph experience — adtech, martech, or customer data platform context (LiveIntent, LiveRamp, Epsilon, Experian Marketing, Acxiom, Merkle, or similar).
• Healthcare or pharma data — working with NPI, HCP-level data, healthcare taxonomies, pharma targeting.

Nice to have

• Experience running controlled experiments on data pipelines.
• Prompt engineering or structured LLM prompt design.
• Prior work in AI-first product companies.

Culture & Mindset

• Self-improvement: You are a fast learner. You don't fear AI replacing you; you master it to replace your manual tasks.
• Ownership: You treat the Identity domain as your own business. If scoring quality drifts or a provider degrades, you notice it and drive the fix without being asked.
• Internal Locus of Control: You take responsibility for outcomes. If external data shifts or an API changes, you build around it instead of blaming the provider.
• Get It Done: You prioritize shipping answers. You know when to send a rough estimate and when to build a proper framework.
• Openness: You share findings and admit mistakes openly — both wins and failures travel across the team. If you spot a better way to do something, you volunteer it without being asked.

What We Offer

• Fully remote with flexible hours, with working overlap in CET ±2 hours for syncs.
• AI-Native Environment: We provide licenses for Claude Code and encourage using the bleeding edge of AI tech — both for daily work and as part of product logic.
• High-Impact Role: You will directly shape how we identify, score, and reach healthcare professionals — the core business of our domain.
• Small team, direct impact: You will work directly with Product and Engineering leads — no layers between you and the people making decisions.
• No Bureaucracy: Fast decisions, no legacy processes, focus on results.

Zutobi is a global edtech product company creating engaging digital learning experiences. We’re a team of ~75 people across product, growth, marketing, and operations, building multiple apps used by 250,000+ monthly users worldwide. We operate as a bottom-up company, where initiative, ownership, and experimentation are core to how we work.

We are currently seeking a data-focused, results-oriented Junior User Acquisition Manager to join our amazing global team! In this role, you will be responsible for planning, implementing, and optimizing paid advertising campaigns in Meta, TikTok, Snapchat, and Google UAC for promoting Zutobi products.

About you:

• 0.5+ years of hands-on experience managing paid advertising campaigns in Meta or TikTok
• Basic understanding of advertising metrics such as ROI, ROAS, LTV, CTR, CPC, CPM
• Basic understanding of marketing events and attribution for mobile apps
• Basic understanding in marketing analytics platforms, such as Amplitude, Appsflyer or similar
• Strong analytical skills and data-driven approach
• Intermediate (or higher) English level.
• Good understanding of how creatives work — hooks, messaging and formats

Would be a plus:

• Experience with Snapchat, Google UAC, or other networks
• Experience with web2app/web2web funnels and subscription products
• Experience with automation of UA processes

About your responsibilities:

• Manage and optimize paid acquisition campaigns primarily on Snapchat Ads, TikTok Ads, and Meta ads under the mentoring of our UA team
• Monitor performance daily and make data-driven optimizations across targeting, creatives, and bidding
• Conduct competitor and trend analysis to stay ahead of creative best practices on both platforms
• Continuously test new campaign setups, objectives, and formats specific to each platform
• Collaborating with our creative team to develop paid advertising strategies for user acquisition, product growth and increasing profitability.
• Analyze creative performance and provide structured feedback to guide future production
• Planning, overseeing, and optimizing the advertising budget to maximize the impact and effectiveness of campaigns.

💙 What We Offer

• Culture: Empowering, ’Bottom Up’ culture valuing initiative, collaboration, and continuous learning, aligned with values of Safety, Simplicity, Modernity, Encouragement, Helpfulness, and Accountability.
• Impact & Growth: Work with an industry-leading product (250,000+ monthly users, 10M+ downloads).
• Innovation: Freedom to innovate and utilize expertise in a company that encourages ideas and initiative.
• Work Flexibility: Remote work with flexible 40-hour/week schedule, accommodating team meetings and collaboration.
• Vacation: 20 business days (4 weeks) annual leave.
• Sick Leave: 20 business days (4 weeks) annual sick leave.
• Holidays: Ukrainian public holidays are default days off.
• Learning & Development: Reimbursement for development courses/training, fostering a continuous professional development culture where employees seek opportunities and managers coach teams.

Join a fast-growing Israeli fintech & crypto company that is reshaping how traders access capital.

We provide traders with instant access to large trading funds through a cutting-edge platform powered by AI tools and Web3 integrations — enabling users to trade and scale without risking their own money.

If you’re looking to break into or grow within fintech & crypto, this is a strong entry point with real career upside.


What You’ll Do

• Support customers via live chat and calls
• Guide users through the platform and resolve their issues
• Deliver a high-quality customer experience in a fast-paced environment
• Collaborate with internal teams to solve complex cases

What We’re Looking For

• Experience in Customer Support or Sales Support
• English level B2+ (spoken & written)
• Interest in crypto / trading / fintech (experience is a plus)
• Strong communication skills and ability to handle challenging situations
• Customer-first mindset

 What You Get

• 800 USDT — probation period (1 month)
• 1000 USDT — after probation
• 12 paid vacation days + 14 public holidays
• Flexible shifts:
  • 09:00–18:00
  • 16:00–00:00
• 🎁 Birthday gifts
• 📈 Real opportunities to grow into Senior Support / Operations / Account roles
• 🌍 Work with an international team in a fast-moving crypto environment

Why This Role

• Enter the high-growth crypto industry
• Work with a modern AI-powered product
• Gain experience with real users, real money, real markets
• Clear path for career progression, not just support

About TechUnit

We’re TechUnit — a full-cycle digital and development agency passionate about marketing, development, and innovation.

We blend technology, creativity, and strategy to help businesses grow.

With 50+ completed projects, $2M+ raised for clients, and a team of 20+ specialists, we deliver results that make an impact.

Our projects range from SaaS platforms and digital tools to full marketing ecosystems.

We move fast, stay curious, and value people who care about both structure and creativity.

About the Role

We’re looking for a Human Resources Manager who will take ownership of our people strategy and help us build a strong, healthy, and high-performing culture.

This is not just an administrative HR role. We’re looking for someone who can actively boost and shape our company culture, improve team engagement, support leadership, and ensure we attract and retain the right talent.

You’ll work closely with leadership to align people strategy with company growth — helping us scale while protecting what makes our team strong.

Your mission is to make TechUnit a place where talented people thrive, grow, and feel proud to contribute.

What You’ll Be Doing

Talent Acquisition & Employer Branding

• Lead end-to-end recruitment processes (from role definition to onboarding).
• Help refine job descriptions and hiring processes.
• Improve candidate experience and employer branding.

• Build talent pipelines for future growth.

   

Culture & Engagement

• Develop initiatives that strengthen company culture and team connection (especially in a remote setup).
• Create systems that reinforce our values, collaboration, and accountability.
• Organize feedback loops, engagement surveys, and team rituals.
• Proactively identify morale or culture risks and address them early.

• Support leaders in building strong, motivated teams.

   

Performance & Development

• Implement performance review frameworks and growth plans.
• Help managers set clear expectations and feedback processes.
• Design professional development pathways.

• Promote a learning-oriented environment.

   

Operations & HR Structure

• Oversee onboarding and offboarding processes.
• Maintain clear HR documentation and policies.
• Ensure smooth internal communication and organizational clarity.

• Monitor team satisfaction, retention, and capacity planning.

   

Strategic HR Partnership

• Act as a trusted partner to leadership.
• Align people strategy with company goals and growth plans.

• Help scale processes without losing agility or culture.

   

You’ll Be a Great Fit If You

• You genuinely care about people — and can spot tension in a ClickUp thread before it becomes a problem.
• You believe culture is something you design intentionally, not something that “just happens.”
• You can have difficult conversations without turning them into dramatic Netflix episodes.
• You’re structured enough to build systems… but human enough to know people aren’t spreadsheets.
• You don’t wait for permission to improve things, if you see friction, you fix it.
• You’re comfortable giving feedback to both juniors and founders (yes, including us 😄).
• You know the difference between “fun culture” and “healthy culture.”
• You’re calm when things get messy, and you bring clarity instead of panic.
• You like building processes from scratch (instead of inheriting a 200-page HR manual).

• You believe retention is built daily, not during exit interviews.

   

• Bonus points if:
  • You enjoy building rituals, systems, and frameworks that actually stick.
  • You’ve worked in a fast-moving startup or agency and survived (and maybe even enjoyed it).
  • You are able to post fun meme on Friday Afternoon in our internal chans (we all do)

Why You’ll Love Working With Us

• You won’t be the “HR police.” You’ll be the culture architect. Big difference.
• If you have a great idea, we won’t say “let’s circle back next quarter.” We’ll probably say “let’s try it next week.”
• No corporate maze. No 17-step approval processes. No mysterious “global HR policy” PDFs from 2009.
• You’ll work directly with decision-makers — meaning real influence, not symbolic responsibility.
• We move fast, but not chaotically (okay… rarely chaotically 😄).
• You’ll help build a remote culture that people actually enjoy — not just tolerate.
• No awkward forced fun. If we do team rituals, they’ll make sense.
• Feedback is normal here. Drama is not.
• You’ll see the impact of your work immediately — in team morale, performance, and growth.

And yes — you’ll finally get to build the kind of HR environment you always wished existed.

Our Hiring Process

1. Share your CV and a short note about your HR experience.
2. Intro call to align expectations.
3. Practical task — culture or HR improvement scenario.
4. Call with leadership.

5. Offer & onboarding.

    

We are looking for Delivery Manager who thinks like a full-cycle product integrator (from concept and requirements to handoff to mass production).
This isn’t just about coordinating tasks. This position requires managing the product lifecycle, which includes development, integration, testing, implementation, and analysis of user feedback.
You'll be the point of coordination between product teams, engineering teams, and production, ensuring the efficient and predictable delivery of complex technological products.

Requirements

• 5+ years of experience in Delivery / Project / Program Management in R&D, hardware or product teams.
• Understanding of PDLC / SDLC and key phases of the product life cycle 
• Practical experience to drive delivery from Discovery and MVP stages to readiness for scaling
• Experience managing cross-functional teams that include hardware, software and manufacturing experts.
• Practical knowledge of Agile / Kanban / Lean as complementary approaches to management and regular improvement.
• Understanding of Quality Assurance / QMS / quality gates principles and experience working with performance metrics.
• Experience working in international companies with cross-cultural communication;  readiness for business trip
   

Would be a plus

• Experience in miltech, defense, RF product development.
• Technical background (radio electronics, radar systems)
• Experience in building delivery processes or implementing performance forecasting systems.
   

Key responsibilities

• Manage the full delivery cycle: from requirements to the finished product for scaling
• Orchestration of cross-functional teams (HW, SW, Embedded, RF experts), ensuring the smooth knowledge transfer within the team  
• Regular cooperation with partners, aligning goals and outcomes
• Release management: planning, team synchronization, dependency control, demos, release reviews, retrospectives.
• Establishing and maintaining Risk and Change management process 
• Process analytics: monitoring statuses, risks, predicting progress and implementing performance, efficiency and predictability metrics.
• Quality work: integrating quality gates, interacting with QMS systems, participating in QA criteria compliance checks.
• Product alignment: translating the product vision into specific delivery plans, understanding user needs and feedback that underlie the requirements.
• Facilitation and removal of obstacles: helping teams focus, removing organizational or technical blockers.

We are looking for a Senior AI/ML Engineer to design, build, and scale AI-driven solutions within the Palantir Foundry and AIP ecosystem.

In this role, you will take ownership of developing production-ready AI systems, including LLM-powered applications, RAG pipelines, and machine learning models, while collaborating closely with cross-functional teams. You will contribute to architectural decisions, ensure high-quality implementations, and help evolve AI capabilities within enterprise environments.

Key Responsibilities

• Design, develop, and enhance AI-driven solutions, including machine learning models, LLM-based applications, and NLP workflows for analytics, automation, and decision-making
• Build and optimize RAG pipelines, including embeddings, retrieval strategies, chunking approaches, and hybrid search techniques
• Develop AI solutions within Palantir Foundry, leveraging Ontology objects, pipelines, and workflows
• Apply LLMs and GenAI techniques (prompt engineering, fine-tuning, embeddings, retrieval-augmented generation) using Palantir AIP
• Own the end-to-end lifecycle of AI solutions: data preparation, model development, evaluation, deployment, and monitoring
• Collaborate with data engineers to ensure data quality, pipeline efficiency, and scalable data processing
• Integrate AI models into production workflows to deliver business-facing insights and automation capabilities
• Evaluate and improve model and system performance, including accuracy, latency, scalability, and cost-efficiency
• Contribute to architecture decisions, including selection of tools, frameworks, and design patterns for AI systems
• Implement and follow MLOps / LLMOps best practices, including versioning, evaluation frameworks, monitoring, and continuous improvement
• Ensure responsible AI practices, including data privacy, governance, and compliance considerations
• Collaborate with stakeholders to translate business needs into practical and scalable AI solutions
• Mentor junior engineers and contribute to knowledge sharing within the team

Requirements

• 4–5+ years of experience in AI/ML engineering, applied data science, or related fields
• Strong proficiency in Python and experience with ML frameworks (e.g., scikit-learn, XGBoost, PyTorch, TensorFlow)
• Hands-on experience with LLMs, NLP, or GenAI applications (prompt engineering, embeddings, text processing, summarization, etc.)
• Practical experience with RAG architectures, vector databases, and retrieval strategies
• Strong understanding of the ML lifecycle: data preparation, feature engineering, model training, evaluation, and deployment
• Experience building and deploying production-grade AI systems
• Familiarity with structured and unstructured data processing (tabular, time series, text, documents)
• Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes)
• Understanding of MLOps / LLMOps practices, including monitoring, evaluation, and iteration
• Experience working in enterprise data environments with cross-functional teams
• Ability to communicate AI concepts and results to technical and non-technical stakeholders
• Upper-Intermediate English or higher

Nice to Have

• Experience with Palantir Foundry (Ontology, Object Builders, Code Repositories, AIP)
• Experience in regulated industries (e.g., pharma, finance)
• Experience with distributed data processing (e.g., Spark)
• Exposure to multilingual or multimodal AI systems

Samsung R&D Institute Ukraine is looking for a passionate and collaborative Accountant to join our team in Kyiv.

 
Key responsibilities:

• processing of travel request, prepare business trip order and advance payment
• processing business trip report and representative report according to Ukrainian legislation
• processing corporate/representative payments and related expenses
• process vendor invoices related to business trips in SAP (verify and approve vendors’ invoices and other supporting documents; analyze respective postings)
• to be business partner for the business in questions related to Internal system for business trip and representative expenses

Requirements:

• knowledge of Tax legislation related to Travel & Expense and corporate/representative expenses
• intermediate English, comfortable working in an international environment
• confident proficiency in Excel
• experience with Kominteh, SAP as a plus  
• higher education

We offer:

• competitive salary
• official employment (GIG contract)
• remote work is possible as well as work in Kyiv office
• paid 28 work days of annual vacations and sick leaves
• medical & life insurance for employees and their children
• paid lunches
• discounts to Samsung products

🧲 Magnetics is a Ukrainian product marketing agency specializing in UX/UI, frontend development, marketing research, product marketing, media buying, and affiliate marketing. Founded in 2014, we are actively scaling and now have 70+ talented professionals on our team.

We are looking for a Linkbuilding Team Lead (Reddit) — a process-driven expert who will lead the launch of a new direction. We need someone who understands how Reddit works, can navigate platform limitations, and turn organic discussions into a consistent flow of targeted traffic.

🧲 What we’re looking for:

• At least 1 year of hands-on experience working with Reddit
• Hands-on experience with antidetect browsers, proxies, cookies, and user agents
• Ability to build and manage the full account lifecycle: from setup and warm-up to stable posting
• Strong data-driven mindset with the ability to analyze performance through metrics such as conversions, registrations, and deposits
• Experience in building and documenting processes (SOPs, guidelines, workflows)
• Proven leadership skills: hiring, mentoring, and developing team members
• Ability to scale successful strategies and quickly adapt to platform changes

🧲 Nice to have:

• Experience with process automation (scripts, tools)
• Experience with other UGC platforms such as Quora, X (Twitter), Discord, etc.

🧲 Responsibilities:

• Build and lead a team of Reddit specialists (3–10 people), including hiring and development
• Design and implement the full account lifecycle (setup, warm-up, scaling)
• Organize regular posting of content and comments with native link placements
• Ensure content quality and compliance with subreddit rules and platform guidelines
• Analyze behavioral and technical signals to identify risks, test hypotheses, and improve account stability
• Track and manage key KPIs such as registrations, deposits, and overall profitability
• Optimize workflows and introduce scalable solutions
• Prepare regular performance reports for the team and individual contributors

🧲 Why Magnetics:

• Full ownership and autonomy with minimal bureaucracy
• 100% remote work and flexible schedule
• Medical insurance, paid vacation, and sick leave
• 50% coverage for individual courses and 100% for team learning programs
• Free legal consultations and 50% discount on legal services

• Competitive salary with regular reviews

   

🚀 Ready to build one of the strongest Reddit teams on the market?

Apply now — let’s connect and create results together! 🧲

We are looking for a Lead Generation Manager to join our team!

Founded in 2012, N-iX Games is one of the largest game development and art production vendors in Ukraine, working with leading publishers and media enterprises worldwide. The team of 240+ professionals focuses on full-cycle game development, VR solutions, and content creation for all the most popular platforms. The studio has successfully collaborated with over 40 clients, including Paradox Interactive, Wargaming, Ubisoft, Tempo Storm, Supermassive Games, and many others. 

At N-iX Games, we prefer that the work we deliver have a certain level of excellence and are looking for like-minded, exceptional talents. If you are excited about the opportunity to collaborate on awesome games, both indie and AAA, and work with a cutting-edge tech stack alongside other passionate experts, we invite you to join our team.
 

Responsibilities:

• Identify and generate new business opportunities within the game development industry.
• Research and build targeted prospect lists.
• Execute multi-channel outbound campaigns (LinkedIn, email, industry platforms, and events).
• Qualify inbound and outbound leads and schedule discovery meetings for the Business Development team.
• Maintain and update CRM systems with accurate and timely information.
• Personalize outreach messages tailored to client needs and industry trends.
• Collaborate closely with Business Development Managers and Marketing to refine lead generation strategies.
• Monitor industry news, trends, and events to identify potential partnership opportunities.
• Track and report on lead generation performance and KPIs.

Requirements:

• 1-3+ years of experience in lead generation, sales development, or business development, preferably in the game outsourcing industry.
• Strong research and analytical skills with the ability to identify high-quality prospects.
• Experience with automation and prospecting tools such as Expandi, Apollo, Lemlist, or Clay.
• Hands-on experience with LinkedIn Sales Navigator, CRM systems (e.g., Salesforce, Zoho, HubSpot), and email outreach tools.
• Excellent written communication skills with the ability to craft personalized and engaging outreach messages.
• Understanding of the game development pipeline (art, engineering, QA, live ops).
• Results-driven mindset with a proactive and self-organized approach.
• Ability to work collaboratively in a fast-paced, international environment.
• Upper-Intermediate or higher English level.

Nice to Have

• Experience supporting industry events (e.g., GDC, Gamescom, Nordic Game).
• Understanding of the game development pipeline (art, engineering, QA, live ops).
• Knowledge of additional languages.

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

Akurateco is a cutting-edge white-label payment software provider with 15+ years of hands-on experience in the payment industry. We bring our clients fully-brandable and easily customizable payment software.
Our team is looking for Senior Monitoring Analytics Specialist.

Requirements:

• Experience working with NoSQL databases, specifically OpenSearch (Elasticsearch) is must have.
• Ability to build queries, filters, and aggregations in OpenSearch.
• Understanding of alerting principles and monitoring rule configuration.
• Strong analytical thinking, attention to detail, and a structured approach to working with large datasets.
• Experience with Power BI (building interactive reports and data visualizations).
• Experience with Redash (SQL queries and dashboard creation).
• Knowledge and hands-on experience in Machine Learning (building models for monitoring and antifraud) will be a plus.

Responsibilities:

• Development and maintenance of analytical reports for the monitoring team.
• Creation and optimization of alerts to detect suspicious transactions and incidents.
• Data visualization in dashboards for real-time monitoring.
• Close collaboration with risk management and monitoring teams to уточнити вимоги.
• Analysis of the effectiveness of configured rules and their optimization.

We offer:

• Interesting and extensive project;
• Fair remuneration;
• Flexible working hours and work-life balance;
• 20 vacation days, sick leaves upon request;
• Corporate English language classes.

We are currently seeking a skilled and driven Senior AI/ML Engineer to join our R&D team.

We believe that you have:

• In-depth knowledge of Machine Learning (ML) and Deep Learning (DL) principles
• A minimum of 3 years of experience working as a Software/ML Engineer
• Strong proficiency in Python programming and ML related libraries and engines
• Experience with AI Agents
• Proven experience in prompt engineering, Large Language Models (LLM)
• LLM Fine-tuning: Experience in fine-tuning pre-trained language models for specific tasks or domains
• LLM Frameworks and Tools: Langchain / LlamaIndex or other + familiarity with other relevant frameworks such as Transformers, GPT-Index, or FAISS
• Experience with one or more machine learning libraries such as TensorFlow, Keras, PyTorch
• Ability to extract meaningful business insights from data and identify the stories behind the patterns
• Willingness to work in an R&D team with shifting priorities and actively engage in PoC initiatives.

• Intermediate or higher level of English proficiency

   

Cool to have:

• Experience with Computer Vision
• Expirience with LLMOps
• DevOps & MLOps: CI/CD pipelines, Docker, Kubernetes
• Experience with SQL, NoSQL and Vector databases

• Experience with NLP, NLU, Semantic Search

   

Responsibilities:

• Collaborate closely with the web development team to design, develop, and deploy machine learning models
• Develop new machine learning models or enhance existing ones to meet project requirements

• Monitor and maintain machine learning models in production, ensuring their optimal performance and stability

   

We offer:

• Flexible schedule
• Horizontal management and communication directly with project stakeholders
• 20 days of paid vacation
• Paid sick-leaves
• Annual activities budget — we endorse your wish to self-improvement
• Remote work