Jobs at Djinni

About the Role

Bizzabo, a leader in event technology, is looking for a strategic and highly analytical Business Analyst to join our dynamic Revenue Operations Team. In this role, you will serve as a critical bridge between raw data and executive decision-making. You will be responsible for defining the analytical roadmap for our different GTM departments, ensuring that data is not just reported, but used as a competitive advantage to drive growth and efficiency.

What You’ll Be Doing

• Act as a dedicated strategic partner to GTM leadership (Sales, Marketing, and Customer Success).
• Identify growth opportunities and resolve operational bottlenecks through end-to-end analytical project leadership.
• Encompass the full data lifecycle, from gathering requirements and designing complex data models with optimized SQL to architecting a scalable BI ecosystem in Looker that replaces manual reporting with sophisticated automation.
• Go beyond descriptive reporting and leverage modern AI-powered tools to accelerate your workflow.
• Uncover the underlying drivers of business performance.
• Provide proactive insights and strategic recommendations based on key performance indicators.
• Continuously audit data quality and collection processes within the CRM to ensure a high-integrity, data-driven environment.

Required Experience & Skills

• Professional & Educational Background: 3+ years of experience as a Business/Data Analyst (preferably within a global SaaS or high-growth tech company) supported by a degree in Industrial Engineering, Statistics, Economics, or a related quantitative field.
• Technical Mastery:
• SQL Expert: Deep experience writing complex, optimized queries and working with modern data warehouses (e.g., Snowflake, BigQuery).
• BI Power User: Expert proficiency in Looker (LookML experience is a significant plus), Tableau, or similar enterprise BI tools.
• Data Manipulation: Advanced Excel skills for financial modeling and ad-hoc analysis.
• Business Acumen: Strong understanding of the SaaS business model and B2B sales funnels.
• Analytical Rigor: Proven ability to synthesize large, disparate datasets into clear, actionable business narratives.
• Communication: Fluent English with exceptional verbal and written communication skills. You must be able to explain technical concepts to non-technical business leaders.
• Mindset: Highly independent, self-motivated, and capable of managing multiple high-priority projects in a fast-paced environment.

Preferred Qualifications

• Experience with AI-integrated analytics platforms or building automated workflows using AI agents.
• Familiarity with Salesforce, HubSpot and PlanHat data structures.

On behalf of our client, we are looking for an IT Operations and Automation Engineer (SaaS stack) 

Requirements:

- 3+ years in IT operations, systems administration, or IT support within modern SaaS environments

- Strong experience building automations in Zapier, n8n, or similar workflow tools

- Hands-on administration of Jamf (macOS management)

- Hands-on administration of Intune (Windows management, Autopilot preferred)

- Experience with Okta (SSO, MFA, integrations)

- Google Workspace administration (users, groups, policies)

- Solid understanding of REST APIs, webhooks, JSON, OAuth/OIDC, troubleshooting integrations

- Ability to write clear documentation and communicate with technical & non-technical stakeholders

- Upper - Intermediate or higher level of English

Company offers:

- Long-term employment with possibilities for professional growth

- Fully remote work

- Reasonably flexible schedule

- 15 days of paid vacation

- Regular performance reviews

We are seeking for a Senior Developer with deep expertise in AI, code, and scaling – and above all, the ability to lead bold technological processes and change the rules of the game.

If you live and breathe code, love automation, and get excited by the opportunity to write less and create more – this is your place.

1. We are looking for someone with Tech Lead experience- this is still a hands-on position.

2. Candidate must work with AI for a minimum of one year.

3. The profile here is a strong tech lead, who loves technology and exploring and learn new technologies by himself.

Responsibilities:

• Leading the transition from monolithic to microservices architecture
• Leading work with tools like GitHub Copilot and other LLMs as daily tools
• Accelerating development processes, automating tests, documenting and understanding complex code
• Defining new standards for high-volume development environments
• Technical leadership of a team – including training, mentoring, and hands-on implementation
• Implementing code solutions quickly and with high quality in critical systems environments
• Developing cloud systems

Requirements:

• 7+ years of backend development experience in C#/.NET, Node.js is an advantage
• 4+ years of experience in React.
• Great English communication skills.
• Proven experience in rapidly improving development speed and reducing bugs using AI-based tools
• Ability to lead end-to-end development processes including scaling, documentation, and automation
• System-level thinking, business orientation, and training skills Experience working with microservices architecture and building APIs
• B.Sc. in Computer Science or a similar technological field – required

Relevant Technologies:

• Backend: Node.js/C#/.NET Framework, ASP.NET Web API/Core, Entity Framework, Python
• Databases: SQL Server, MongoDB, Redis
• Messaging: RabbitMQ
• Frontend: Angular 5+, TypeScript, React
• Cloud & Containers: Azure / AWS, Kubernetes
• AI Tools: GitHub Copilot, Claude – proven experience required

Who:
We’re looking for a Senior AI/ML Engineer who combines strong machine learning fundamentals with a disciplined, evaluation-first approach to improving production AI systems.

What:
You’ll improve real AI systems used by real users — through metrics, experimentation, system design, and iteration.

When:
Start ASAP.

Where:
Remote (any location).

Type:
Full-time.

English:
Upper-intermediate or Advanced required.

The Role in a Nutshell

This is not a pure research position.

You’ll work on improving production AI systems through structured evaluation, diagnosing failures, refining prompts and agent workflows, and designing measurable improvements.

You won’t be working in isolation — you’ll improve systems that users depend on daily.

Responsibility Breakdown (Approximate)

• AI evaluation & KPI design — ~30%
• Prompt and multi-agent system design — ~30%
• ML systems (recommendation, optimization, etc.) — ~30%
• Engineering integration — ~10%

What You’ll Work On

AI Evaluation & System Quality (Core Responsibility)

• Design evaluation strategies for LLM and agent workflows
• Define metrics and KPIs for AI system performance
• Build and maintain evaluation datasets
• Systematically debug production AI failures
• Compare system behavior against baselines
• Run structured experiments and measure real impact

This is a central part of the role.

Multi-Agent AI Systems

• Improve agent orchestration and workflows
• Diagnose failures across agent pipelines
• Refine system prompts and agent interactions
• Improve reliability, latency, and output quality

Applied ML Areas (Depth > Breadth)

You’ll contribute to one or more of the following areas:

• Recommendation systems (ranking & personalization)
• Itinerary optimization & constraint-based planning
• LLM-based reasoning systems
• (Optional) Computer vision pipelines

Depth in at least one of these areas is more important than shallow experience in many.

Engineering Environment

We use:

• Golang (primary production language)
• Python for ML workflows
• Postgres, Redis, internal services

You don’t need to be a Go expert on day one, but you must be comfortable reading and modifying production code.

Backend engineers own infrastructure-heavy services — your focus is on AI system behavior, correctness, and measurable improvement.

What We’re Looking For

1️⃣ Strong AI/ML Fundamentals (Must-Have)

You understand the theory behind what you build and can choose appropriate methods.

Examples:

• Evaluation metrics (precision, recall, F1, etc.)
• Ranking & recommendation concepts
• Embeddings and similarity
• Experimentation methodology

Not required:

• Academic publications
• Advanced theoretical math
• Large-scale model training experience

2️⃣ Evaluation-Driven Mindset (Most Important Signal)

You:

• Think in metrics and baselines
• Design experiments instead of guessing
• Measure improvements quantitatively
• Debug failures methodically

This is the most important quality for this role.

3️⃣ Experience with LLM Systems

You’ve worked with:

• Prompt design
• Agent workflows
• Evaluating LLM outputs
• Production LLM integrations

4️⃣ Ability to Ship Production Systems

You can:

• Turn ideas into working systems
• Iterate based on results
• Balance exploration with delivery

5️⃣ Programming Ability

You’re comfortable writing production code in at least one language (Python, Go, or similar) and learning others as needed.

Strong Signals (Nice to Have)

• Experience improving AI systems post-deployment
• Recommendation or ranking system experience
• Optimization / constraint-based systems
• Computer vision experience
• Experience building evaluation frameworks
• Golang experience
• Startup or small-team engineering background

Ideal Candidate

• 5+ years of experience in AI/ML (exceptionally strong 3+ year candidates considered)
• Strong English communication skills
• Comfortable working in a fast-moving environment
• Focused on measurable impact, not just models

We’re looking for a Trainee/Junior Lead Generator who is proactive, motivated, and eager to grow within our team at FuturiX Solutions 📈

If you’re motivated to start or grow your career in lead generation and enjoy communication and outreach, we’ll be glad to meet you.

🛠️ Key Responsibilities:

🔹 Conduct outreach through LinkedIn as the primary channel.

🔹 Create and run multi-step outreach campaigns to schedule calls with potential clients.

🔹Track outreach metrics, analyze performance, and optimize campaigns.

🔹Qualify, nurture, and segment leads according to ideal client profiles.

🔹Follow monthly KPI goals and priorities.

🔹Collaborate with the internal Sales Team and provide regular updates.

🔹 Build databases or work with existing ones: analyze, verify, and segment.

📋 Requirements:

🔹Organizational and time management skills, and a proactive and results-oriented mindset.

🔹Basic understanding of lead generation principles (courses or self-learning).

🔹 Initial experience or theoretical knowledge in B2B sales.

🔹Desire to learn, adapt quickly, and follow established outreach workflows.

🔹 Basic experience with CRM tools and lead-tracking workflows.

🔹 Eagerness to experiment, analyze results, and improve.

🔹Strong written communication skills to effectively engage with potential clients.

🔹 At least an Upper-Intermediate level of English.

✨ Nice-to-Haves:

🔹 Prior experience in lead generation or sourcing roles is advantageous.

🔹 Interest in tech domains (fintech, blockchain, SaaS, etc.).

🔹 An existing professional network is an advantage, but not required.

🌱 Why Join Us?

🔹 Collaborative Team Culture – supportive, innovative environment that values mentorship and teamwork

🔹 Flexible Work Setup – remote-friendly and focused on work-life balance

🔹 Growth-Oriented Environment – continuous learning and professional development

🔹 Exciting Projects – work with clients across diverse industries

🔹 Real Impact – your work directly drives the growth and success of FuturiX Solutions 🌍

What We Expect from You:

When applying, please include a brief description of your lead generation methods.

We’re eager to understand your unique approach to finding deals 🔍

We’re looking for a Presales Manager who enjoys turning complex business requests into clear, accurate estimations and well-organized presale processes. In this role, you’ll connect sales and delivery teams, coordinate stakeholders, plan resources, and keep timelines, budgets, and expectations aligned.
 

If you’re a veteran, don’t hesitate to send your CV, we’ll be glad to see you in our Gang!
 

Requirements:
• At least 2 years of general IT experience.

• At least 1 year of experience in the presale process.
• Understanding of SDLC and role assignments.
• Experience in the management of different stakeholders.
• Understanding of the sales process.
• Proficiency in timeline and budget management.
• Strong team management skills.
• Understanding of various estimation techniques and contract types.
• Stress resistance and the ability to work in fast changing environment.
• Strong communications and problem-solving skills.
• Ability to follow clear processes and timely resolve problems.
• Experience with tools like Google Sheets, Confluence, etc.
• English: Intermediate+
 

Responsibilities:

• Process presale and estimation requests from the business development team, following established procedures.
• Organize resources for the presale and estimation process.
• Collect requirements for process improvement and collaborate with the process owner for implementation.
• Preparation of estimation artifacts.
• Conduct kick-off meetings to align the team for successful presale initiatives.
• Collect data and analyze metrics to evaluate the performance of presale operations.
• Improve the presale process between the delivery and sales departments, including the creation and updating of templates.
• Coordinate the presale process from external and internal customers in terms of hours, timeline, and complexity.
• Plan and allocate resources strategically for presale activities.
• Maintain the presale board, ensuring it is up-to-date with the latest information.
 

We offer:

• Remote work with flexible working hours.
• Paid vacation: 20 days per year.
• Paid sick leave: 15 days per year.
• Family leaves.
• Compensation for English courses.
• Compensation for educational and sports activities.
• Compensation for psychologists.
• Internal lectures and knowledge sharing.

We are looking for ambitious people who want to build a career in international marketing. As a Marketing Intern, you will be dealing with external communication with marketing partners, freelancers, and the internal marketing team. Your day-to-day activity will be tied around writing emails, conducting web research, reviewing and managing content deliverables.
 

Why join Lemon.io?

We’re a bootstrapped, profitable, and growing company that’s all about transparency and impact. Our CEO is hands-on, and our culture is collaborative and open. We operate in a high-velocity sales environment where great ideas thrive, and results matter. If you’re driven, curious, and ready to grow, you’ll fit right in.
 

About Us

Lemon.io is a marketplace that connects world-class vetted developers with startup teams across the globe. We help our clients hire smarter and move faster — and we’re growing fast doing it.
 

Who we are looking for:

• Someone with excellent English skills, both written and verbal
• A positive and energized person who is not afraid to take responsibility
• A person who can structure information and present it clearly
• A fast learner who can quickly understand our business, marketing processes, and goals
• A research enthusiast capable of processing large volumes of information
• A user with hands-on experience in Google Sheets or Excel
   

Would be a plus:

• Writing experience in English
• Marketing education
• Marketing, media, or communications experience
   

What you will do:

• Reach out to potential and existing marketing partners via email and LinkedIn on a daily basis
• Write emails, using both templates and custom-written copy
• Build relationships and grow your network with marketers, content managers, and SEO experts
• Manage content delivery with internal and freelance teams
• Learn to use marketing and SEO tools, such as Ahrefs and Reply.io (with expert’s guidance)
• Conduct web research to identify potential marketing partners
• Increase the online brand presence of Lemon.io as your primary goal.
   

Hiring process:

• Screening call with a recruiter
• Test-task
• Real-time collaboration with the marketing manager
• Final call with the founder
   

Apply with a CV and a short note about why you are eager to join Lemon.io.

We are looking for an experienced outreach and linkbuilding expert to join Lemon.io Organic Growth team. You will be able to apply existing inhouse experience from day one, as well as bring your own knowledge and ideas. The primary goal of this vacancy is to increase our brand presence and brand mentions on the web.
 

About Us

Lemon.io connects founders and CTOs with vetted software engineers from the US, Europe and Latin America.

Thousands of startups use us to find reliable developers fast.

We’re building a small, sharp marketing team that experiments, learns, and moves fast.

This role will own everything around linkbuilding — from outreach to creative ideas that earn mentions and links.

Why you’ll like it here:

1. Direct impact on one of Lemon’s most important growth levers.
2. Freedom to test bold ideas and move fast.
3. Small team, no layers, no bureaucracy.
    

Who we are looking for:

• Hands-on experience with outreach automations with Reply.io, Snov.io, or alternatives is a must.
• Experience with SEO software (Ahrefs, SemRush, or alternatives) is a must.
• Advanced professional experience with Google Sheets or Excel.
• Excellent communication skills in English, written and verbal.
• Readiness and ability to personally represent the company and the product.
• You have experience with b2b, SaaS, or service businesses.
• Experience with managing content creation.
• Readiness to review and provide feedback on content.
   

Would be a plus:

• Writing experience.
• Communications, media experience.
   

What you will do:

• Plan, set up, and execute outreach campaigns that result in brand mentions.
• Conduct researches for new outreach campaigns.
• Write emails, LinkedIn outreach sequences, and custom messages on a daily basis.
• Analyze and report on outreach campaigns results.
• Build and maintain a partnership network within the industry.
• This is an individual contributor role, you will be responsible for your own results.
• Work closely with in-house marketing and content teams.
• Manage external content deliveries.
• Feedback and edit delivered content.
   

Hiring process:

• Screening call with a recruiter.
• Test task.
• Real-time collaboration with the marketing manager.
• Final call with the founder.
   

Apply with a CV and a short note about why you are eager to join Lemon.io.

Are you passionate about making the internet a safer place? We are looking for a Middle Security Operations Researcher to join our team and help protect enterprise clients from harmful bots and online threats. This is a remote, full-time role that offers the opportunity to work directly with global customers, analyzing traffic patterns and neutralizing malicious activity.

At Sigma Software, we value expertise, ownership, and proactive communication. You will collaborate with a diverse international team while enjoying the flexibility of working from anywhere.

Why join us? You will work on impactful cybersecurity projects, gain exposure to cutting-edge analytics tools, and contribute to safeguarding digital ecosystems worldwide.

CUSTOMER
Our customer is a global provider of comprehensive security solutions, protecting individuals, organizations, and communities from a wide range of risks, particularly in the digital space. Their enterprise-focused products specialize in bot defense and invalid traffic detection, helping clients safeguard critical systems and maintain operational integrity.

PROJECT
The project focuses on real-time threat detection and bot mitigation for enterprise-scale clients. Security Operations Researchers collaborate directly with customers, leveraging advanced analytics platforms to identify malicious traffic patterns and neutralize online threats. This dynamic environment requires both technical expertise and strong communication skills.

JOB DESCRIPTION:

• Provide Tier 2 technical support to customers in real time, delivering clear and professional responses
• Analyze logs, graphs, and dashboards, isolating and investigating data using tools like Kibana
• Manage and organize cases, tickets, and requests in Salesforce
• Perform back-office tasks, including writing and maintaining suspicious field expressions
• Write and optimize SQL queries for data retrieval, analysis, and manipulation in BigQuery
• Communicate with global customers, ensuring timely responses and effective issue resolution
• Work in a shift-based schedule, including weekend shifts

QUALIFICATION:

• 2+ years of experience with data analysis
• Strong understanding of log analysis, APIs, and client-server architecture
• Proficient in SQL, including BigQuery SQL
• Knowledge of HTML, JavaScript, and HTTP request methods
• Strong troubleshooting and problem-solving skills

• Experience in customer support, including direct communication with clients; professionalism and politeness are essential

   

WILL BE A PLUS:

• Experience in a Cybersecurity Analyst/Researcher role, ideally supporting external customers in threat detection and response
• Experience in web security and security research: web application security, bot management, fraud detection
• Basic Python skills
• Experience with Kibana

PERSONAL PROFILE:

• Good English (speaking/writing)
• High level of responsibility and ownership
• Ability to work independently with minimal supervision
• Planning and decision-making skills with considerations for multiple integrated systems
• Proactive communicator who keeps stakeholders informed without being prompted

Work schedule: 40 hours per week, 5 days per week. Workdays can be adjusted to start earlier or later, including weekends if necessary.

Join our team as a Machine Learning Engineer, shaping the future of Generative AI with cutting-edge demos, scalable architectures, and hands-on development.

 We’re looking for a passionate Machine Learning Engineer to join our team and dive into the exciting world of Generative AI.  You’ll get hands-on experience with cutting-edge demos and proof of concepts (POCs), turning bold ideas into reality. The ideal candidate has solid Back-end engineering skills and is curious about Generative AI development. If you’re familiar with MLOps, large language models (LLMs), or concepts like Retrieval-Augmented Generation (RAG) is a plus, as is experience with Front-end languages! Experience in the Financial Services domain, particularly Banking, will be a big plus. 

You will be exposed to a variety of tasks, including: 

• Develop proof of concepts (PoC). Test and validate new ideas 
• Drive implementation. Optimize and transform data solutions to improve business outcomes 
• Help with proposals as a technical consultant.  

Job Description

• Assist in building and testing Generative AI demos and POCs 
• Support the design of simple, scalable architectures for Generative AI applications 
• Work with team members to integrate AI components into larger systems 
• Use MLOps practices to help automate parts of the model development process 
• Follow guidelines to ensure that Generative AI applications are secure and meet basic governance standards 
• Help deploy AI applications on cloud platforms or on-premises setups with team support 
• Adapt to a fast-paced environment with evolving project needs 
• Keep up with AI trends and apply them to projects with guidance 
• Advise clients. Understand their needs, analyze possible solutions, and present the best options 

Qualifications

• 4+ years of experience in IT industry, with at least 2-3 years of experience in machine learning 
• Solid Back-end engineering skills, particularly with Python (e.g., Django, Flask, or FastAPI). 
• Experience with pre-sales activities and opportunity processing 
• Basic experience with databases or tools like vector databases (e.g., Pinecone, Weaviate, Faiss) 
• Familiarity with AI frameworks such as TensorFlow, PyTorch, or Hugging Face 
• Understanding of CI/CD pipelines  
• Knowledge of RAG or AI application fundamentals (security, governance, etc.) 
• Experience with cloud platforms (AWS, Google Cloud, Azure) or on-premises setups 
• Ability to solve problems and handle shifting priorities with team support 
• Experience with client-facing roles 
• Ability to demonstrate ideas and solutions clearly and confidently 
• Bachelor's or Master's degree in computer science, machine learning, artificial intelligence, or a related field 

• Upper-Intermediate level of English 

   

  Would be a plus

• Knowledge of other programming languages, such as Java or Go 
• Experience with open-source projects or exposure to tools, such as Airflow or Spark 
• Familiarity with containers (e.g., Docker) or orchestration tools (e.g., Kubernetes) 
• Experience in the Banking and Financial Services domain  
• Experience with prompt engineering or fine-tuning LLMs 

Requirements:

• 1+ year of experience in a similar position
• Strong understanding of animation principles, video editing, composition, and color theory
• Knowledge of AI tools (Midjourney, Runway, and others)
• Proficiency in Adobe After Effects and Premiere Pro

• Experience working with Illustrator and Photoshop to prepare assets for animation

   

Responsibilities:

• Create high-performing video creatives for various advertising platforms

• Participate in creative brainstorming sessions and competitor analyses

   

Nice-to-haves:

• Interest in social media trends, design innovations, motion graphics techniques, and new AI tools to create fresh, engaging, and trend-driven content

   

Employee Benefits:

• Remote-First Culture: Our team is diverse and extensive, just like our product portfolio. We provide a flexible working schedule and let you work anywhere in the world, either remotely or in one of our corporate hubs.
• Сoworking Compensation: We provide 50% compensation for coworking spaces worldwide to make sure that everyone has a comfortable and inspiring workspace.
• Public Holidays Policy: Gismart observes public holidays based on the Ukrainian or Polish holiday calendars. Employees working in other locations are entitled to 12 public holidays per year.
• 100% Sick Leave Compensation
• Mental and Physical Health: To help you stay happy and healthy, Gismart will partially cover your medical insurance, sports activities, therapy costs.
• Personal Equipment Policy: Of course, we’ll provide you with all the equipment you need or cover the maintenance cost for your own tools.
• Personal Learning and Development: We love to see you learn and grow, so Gismart will cover 70% of your professional development courses. We’ll also pay for 100% of corporate English courses.
• Time-Off Policy: Every employee gets 18 working days of paid vacation and 3 personal days per year, with an extra day added for each year at Gismart.
• Corporate Events: We are remote-first, but we love meeting up in person. Whenever possible, we organize corporate events and team-building activities across all Gismart hubs.

Are you a Data Scientist with a love of LLMs, generative AI?

We are looking for a passionate Data Scientist to implement AI solutions aimed at achieving business goals.

This role offers the opportunity to work on cutting-edge AI adoption projects that helps to improve current business processes.

Skills requirements:
• Strong Python Experience (2 year +);
• Experience with LLM , Diffusion models;
• Knowledge of Prompt engineering;
• Experience with Gen AI-related technologies such as LangChain and RAG;
• Experience with Neural Networks (Optional) ;
• Experience with NLP , Predictive analytics and Machine learning;
• Experience with Pandas;
• Experience with SQL, including experience with large datasets;
• Strong experience in statistics;

Key responsibilities:
• Develop AI agents that utilize LLM, RAG and langchain approach;
• Implement LLM and Diffusion models to boost business productivity;
• Utilize LLM (LLM Vision) to improve object detection, text classification and extraction;
• Create forecasting, recommendation, and classification models;
• Transform business challenges to AI applications;

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 nominated in USD;

• Paid vacation and sick leaves;

• Flexible work schedule;

• Friendly working environment with minimal hierarchy;

• Team building activities, corporate events.

We are looking for a Senior Data Scientist with strong technical expertise and a practical mindset to work on complex data-driven challenges. In this role, you will design and implement ML and GenAI solutions, experiment with modern approaches, and transform ambiguous business problems into scalable, production-ready systems.

Requirements
Must-have

• 4+ years of experience in Data Science
• 4+ years of hands-on experience with Python
• Strong understanding of Machine Learning fundamentals, including:
  • regression and classification models
  • feature engineering and model evaluation
• Practical experience with LLMs and GenAI, including:
  • GPT / ChatGPT or similar LLMs
  • LangChain
  • Retrieval-Augmented Generation (RAG)
• Experience with EDA, data preprocessing, and basic dimensionality reduction (e.g. PCA)
• Hands-on experience with tree-based models (e.g. XGBoost)
• Experience building scalable and high-load solutions
• Ability to write clean, maintainable code
• Participation in technical and architectural decisions
  
  Nice to have
• Experience with NLP libraries (SpaCy, Hugging Face)
• Understanding of Explainable AI (XAI) and model interpretability
• Experience with cloud platforms (AWS / GCP / Azure)
• Ability to translate business problems into ML solutions

• Background in R&D, experimentation, or prototyping

  
  Key Responsibilities

• Design and develop scalable Data Science and GenAI solutions aligned with business goals.
• Build, evaluate, and optimize ML models, including:
  -linear models
  -gradient boosting (XGBoost)
  -NLP and LLM-based solutions
• Develop and productionize LLM-powered applications using LangChain and RAG approaches.
• Perform EDA, feature engineering, dimensionality reduction (PCA), and model evaluation.
• Apply XAI techniques to ensure model transparency and explainability.
• Contribute to data science architecture and solution design.
• Write clean, maintainable code and participate in code and design reviews.
• Optimize performance and reliability of high-load systems.
• Conduct R&D activities: explore new ML/GenAI techniques and assess their practical impact.
• Collaborate with engineering, product, and business teams to deliver impactful data-driven solutions.
  
  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 nominated in USD;
• Paid vacation and sick leaves;
• Flexible work schedule;
• Friendly working environment with minimal hierarchy;

• Team building activities, corporate events.

   

Looking for a Middle Python Scraping Developer to join the Dataforest team. If you are looking for a friendly team, a healthy working environment, and a flexible schedule, you have found the right place to send your CV. 

Skills & Qualifications:

• 2+ years of commercial experience with Python.
• Proficiency in web scraping, data extraction, cleaning, and visualization.
• Proficient with XPath: strong ability to design robust, resilient expressions for structured and semi-structured HTML documents.
• Experience with web automation techniques and tools.
• Hands-on experience with relevant libraries and frameworks, including:
  • Playwright, playwright-stealth (web-automation)
  • Requests, aiohttp, hrequests (for HTTPS requests)
  • lxml (for parsing and data extraction)
• Deep understanding of anti-bot protection and evasion strategies, including:
  • CAPTCHA solving techniques and integration with services (e.g. 2Captcha, Anticaptcha, CapSolver)
• Experience implementing structured logging, traceability, and monitoring pipelines.
• Strong understanding of multiprocessing and multithreading, including process and thread management.
• Familiarity with Linux environments, cloud services (AWS, GCP), and Docker
• Experience working with SQL databases (PostgreSQL, MySQL, or equivalent).
• Experience with Flask / Flask-RESTful for API development.
   

   Key Responsibilities:

• Develop, maintain, and optimize web scraping and parsing solutions.
• Design and implement APIs, ETL pipelines, and data integration services.
• Work closely with Project Managers to address customer requirements and challenges.
• Ensure performance optimization and efficiency of data collection pipelines.
• Collaborate with team members, participate in meetings, brainstorming sessions, and code reviews.
• Implement anti-bot evasion strategies to enhance scraping reliability.
   

   Optional Skills (Nice to Have):

• Experience with NoSQL databases (MongoDB, Redis, or equivalent).
• Knowledge of data analysis and processing using Pandas.
  
  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 nominated in USD;
• Paid vacation and sick leaves;
• Flexible work schedule;
• Friendly working environment with minimal hierarchy;
• Team building activities, corporate events.

About Us
We are a fast-growing and leading company in the AI Voice space for the iGaming industry. We replace inefficient manual processes with scalable, reliable, and high-performance AI technology. Our solutions are already used by 20+ brands across 8+ geographies. We are well-funded, ambitious, and building a team of top professionals.

We’re looking for a Junior / Junior+ CRM & Retention specialist to support our Retention Manager with day-to-day operations and analytics. You’ll help us run and improve player communication funnels across SMS, calls, triggers, and multi-touch sequences — monitor performance, assist with hypothesis validation, and support A/B testing.

Responsibilities

• Create and refine player communication content (primarily SMS): adapt templates for different segments and scenarios, keep tone and structure consistent, write short compelling offers.
• Support preparation of CRM/retention funnel launches: define variables, segments, conditions, logic, and write clear launch specs/documentation.
• Hand off well-structured tasks to the team that builds/launches CRM funnels (so implementation is fast and unambiguous).
• Monitor funnel/campaign performance and track key metrics:
  • call reachability / contact rate
  • delivery rate
  • CTR
  • conversion and other funnel efficiency indicators
• Help validate hypotheses and gather data in collaboration with analysts (samples, cohorts, segment cuts, before/after comparisons).
• Assist with A/B testing (texts, offers, segments, timing, channels): set up, track, document outcomes and recommendations (scale/stop/iterate).
• Propose and improve operational processes: templates, checklists, documentation standards, launch workflow transparency.

Requirements

• Junior-level hands-on experience or solid understanding of CRM funnels / retention mechanics.
• Ability to work with performance metrics and make conclusions (delivery/CTR/conversion/contact rate).
• Strong attention to detail in operations: variables, templates, documentation, status tracking.
• Good written English (clear, concise, persuasive messaging).

Nice to Have

• Experience in iGaming / gambling / betting (player promo, retention, CRM).
• Prior experience running or supporting A/B tests and hypothesis-driven optimization.
• Understanding of player segmentation (new/active/dormant/VIP) and lifecycle messaging.
• Ability to support client-facing reporting if needed (not a core responsibility).

What we offer

• Fully remote work format and flexible working hours.
• Competitive salary pegged to USD.
• 24 days of paid vacation (sick leave, national, religious, and company holidays).
• A friendly communication culture and transparent processes.
• Dynamic work environment.
• Opportunities for professional development and career growth.
• No micromanagement — just trust, ownership, and freedom to experiment.