Jobs at Djinni

We are looking for a DevOps Engineer to design, build, and operate the GCP infrastructure behind our LLM platform.
You will be responsible for keeping our ML infrastructure reliable, scalable, and efficient — from data pipelines to training and inference.
 

This is a DevOps-first role with strong exposure to ML infrastructure. In this role, you will develop and maintain CI/CD pipelines, orchestration workflows, and observability for distributed ML workloads across GPU/TPU/CPU environments.
You will work closely with ML Engineers and Data Engineers, while focusing on building a robust, automated, and production-grade platform that accelerates model development and delivery.
 

About us

Kyivstar.Tech is a Ukrainian hybrid IT company and a resident of Diia.City.

We are a subsidiary of Kyivstar, one of Ukraine’s largest telecom operators.

Our mission is to change lives in Ukraine and around the world by creating technological solutions and products that unleash the potential of businesses and meet users’ needs.

Over 600+ KS.Tech specialists work daily in various areas: mobile and web solutions, as well as design, development, support, and technical maintenance of high-performance systems and services.

We believe in innovations that truly bring quality changes and constantly challenge conventional approaches and solutions. Each of us is an adherent of entrepreneurial culture, which allows us never to stop, to evolve, and to create something new.

Responsibilities:

• Design, build, and operate scalable ML infrastructure on GCP (GKE), supporting both experimentation and production workloads for LLMs and NLP systems.
• Manage Kubernetes-based environments (GKE): deployment, scaling, upgrades, and reliability of training and inference workloads across GPU/TPU/CPU pools.
• Build and maintain CI/CD pipelines (GitHub Actions, Jenkins) to automate testing, training, and deployment of ML services and infrastructure.
• Implement infrastructure as code (Terraform, Ansible) to provision and manage cloud resources in a reproducible, secure, and cost-efficient way.
• Ensure observability of ML systems: monitoring, logging, and alerting for infrastructure, pipelines, and production inference workloads.
• Collaborate with ML engineers and Data Engineers to design and support reliable training and inference pipelines.
• Optimize resource utilization and cost, improving efficiency of training and serving infrastructure.
• Troubleshoot and resolve issues across the ML platform — from data pipelines to distributed training and production deployments.
• Contribute to engineering best practices: code reviews, automation, and continuous improvement of platform reliability and developer experience.

Required Qualifications:

• Experience: 4+ years in DevOps, Platform Engineering, or ML Infrastructure roles, with strong understanding of production systems and distributed workloads.
• Cloud & Infrastructure: Hands-on experience with GCP is the must, other major cloud platforms would be a plus.
• Strong understanding of cloud-native architectures and experience designing scalable systems for compute and data-intensive workloads.
• Kubernetes & Containers: Solid experience with Docker and Kubernetes (preferably GKE), including deploying, scaling, and operating production workloads. Familiarity with Helm and Kubernetes networking fundamentals.
• CI/CD & Automation: Experience building and maintaining CI/CD pipelines (GitHub Actions, Jenkins, or similar) to automate testing, deployment, and infrastructure changes.
• Workflow Orchestration: Experience with Airflow (or similar tools) is a plus.
• Infrastructure as Code: Strong experience with Terraform (preferred) or similar tools for provisioning and managing infrastructure in a reproducible way.
• Programming: Strong hands-on scripting languages experience (Bash and/ or Python).
• Observability & Reliability: Experience with monitoring and logging systems (e.g., Prometheus, Grafana). Understanding of reliability, alerting, and debugging in distributed systems.
• ML Infrastructure Understanding: Familiarity with the ML lifecycle (training, evaluation, inference) and experience supporting ML workloads in production environments.
• Collaboration: Ability to work closely with ML Engineers and Data Engineers, translating ML requirements into reliable and scalable infrastructure solutions.

What we offer:

• Office or remote — it’s up to you.
• Remote onboarding
• Performance bonuses
• We train employees with the opportunity to learn through the company’s library, internal resources, and programs from partners
• Health and life insurance
• Wellbeing program and corporate psychologist
• Reimbursement of expenses for Kyivstar mobile communication

Kailash Management is an onchain structured finance company operating at the intersection of crypto and traditional capital markets. We are backed by UTXO, a $5.5B BTC hedge fund.
 

The company already has an established team, including operations, business development, and execution functions.
 

We are looking for a CEO to take over operational leadership from the founder, who is transitioning into a venture builder role.

Key Responsibilities

- Take full ownership of day-to-day operations and company execution

- Lead and execute LP fundraising (institutional investors, family offices, HNWIs)

- Drive venture capital fundraising across upcoming rounds

- Build and manage investor pipeline end-to-end

- Coordinate internal teams (operations, BD, product) to ensure execution efficiency

- Act as the primary operator, translating strategy into results
 

Requirements

- Proven experience in asset management, structured finance, or closely related fields

- Strong track record in LP fundraising and venture capital raises

- Deep understanding of capital markets (crypto + TradFi preferred)

- Fluent English (C1 or higher)

- Ability to operate independently and take full ownership

- Existing network of LPs and institutional investors

- Experience in crypto, DeFi, or onchain financial products

Preferred

- Background in hedge funds, private equity, or investment banking

About QOVES

We make software that helps patients and cosmetic medical clinics diagnose, plan, and visualize appearance improvements. Our platform is used by clinics worldwide with an online fan base of 2 million+ and quickly growing.

Unlike typical cloud-only startups, we've built a cost-optimized hybrid infrastructure that combines AWS CDN delivery, bare metal compute, Kubernetes clusters, and self-hosted internal tools, saving significantly on compute while maintaining enterprise-grade security and performance.

About the Role

We're looking for a Mid-Senior DevOps Engineer to establish and lead our DevOps culture from the ground up in our London headquarters. This isn't just about maintaining infrastructure, you'll be setting company-wide policy, building security-hardened environments, and creating the documentation and processes that will scale with us.

In short, you will be guiding the technical team on how to ensure our Production systems stay robustly online to serve our many customers.

What You'll Build

• Hybrid Infrastructure Management: Architect and maintain our unique infrastructure spanning AWS CDN, bare metal servers, and Kubernetes clusters for computationally intensive facial analysis workloads
• CI/CD Pipeline Architecture: Design and implement CircleCI or Jenkins pipelines with comprehensive build testing, versioning, and change logging
• Zero-Trust Networking: Build and maintain mesh topology networks using Tailscale or Wireguard to securely connect our hybrid infrastructure
• Security-First Culture: Establish and enforce security policies including key rotation, access controls, compliance frameworks, and employee security management
• Infrastructure as Code: Document and codify all infrastructure decisions, creating repeatable, auditable deployments
• Containerization Strategy: Implement and optimize Docker/K8s deployments for our AI/ML workloads
• Cost Optimization: Continue our approach of strategic compute placement using owned, rented or borrowed infrastructure where it makes financial sense without sacrificing security or reliability
• Observability & Monitoring: Implement comprehensive logging, monitoring, and alerting across our distributed systems

What You Bring

• 5+ years of DevOps or infrastructure engineering experience, with a track record of building from scratch
• Hybrid infrastructure expertise: Experience managing both cloud (AWS) and self-hosted infrastructure, understanding the tradeoffs and security risks of each
• Kubernetes production experience: Deep knowledge of K8s cluster design, operations, and scaling
• Networking mastery: Strong understanding of VPCs, mesh networks, VPNs, and zero-trust architectures (Tailscale, Wireguard, or similar)
• Security-first mindset: Experience with security compliance, key management, IAM policies, and hardening production systems
• CI/CD expertise: Hands-on experience building robust pipelines (CircleCI, Jenkins, GitHub Actions, or similar) for build testing before deployment
• Infrastructure as Code: Proficiency with Terraform, Ansible, or similar tools
• Scripting & automation: Strong Python, Bash, or Go skills for tooling and automation
• Policy & documentation: Ability to establish best practices and document them clearly for team adoption
• Leadership mentality: Comfortable setting standards and directing technical decisions, not just executing them

Technologies We Use

• Cloud: AWS (CDN, S3, IAM)
• Compute: Bare metal servers, Kubernetes (transitioning from bare metal)
• Networking: Tailscale/Wireguard for mesh topology, zero-trust architecture
• CI/CD: CircleCI or Jenkins
• Containerization: Docker, Kubernetes
• IaC: Terraform
• Monitoring: Grafana, Sentry, Glance

Why QOVES?

• Ownership & Impact: You'll establish the DevOps foundation and policy that scales with the company.
• Profitable & Growing: We're VC-backed and profitable, meaning sustainable growth and job security
• Real-World AI: Work on infrastructure powering actual AI/ML workloads used by medical professionals worldwide
• Security Focus: Build a security-hardened culture from day one, not retrofit it later
• Small Team, Big Decisions: Your architectural choices will shape how we scale to the next level

What Success Looks Like

• You've audited our current infrastructure, documented everything, and established a roadmap
• CI/CD pipelines are running, security policies are enforced, and zero-trust networking is operational
• The team is following your documented standards, infrastructure is code, and we're scaling confidently

Compensation

Competitive salary based on experience, equity options, and benefits. We value expertise and are prepared to compensate accordingly for the right candidate.

Project Description

A digital health company focused on revolutionizing the pharmacy regulatory market through data-driven innovation and technology. The platform leverages AI/ML to accelerate the approval process of therapeutic products, automate regulatory workflows, and enhance decision intelligence for compliance teams.

Role Overview

We are seeking a highly skilled Lead Machine Learning Engineer to join our cross-functional AI team. You will be responsible for designing, training, and deploying machine learning models that power intelligent automation and decision-support systems across our SaaS platform. This role bridges data science, software engineering, and infrastructure — ensuring that models move from prototype to scalable production systems efficiently and reliably.
 

Key Responsibilities

Model Development & Optimization

• Design, build, and train ML models for classification, NLP, entity extraction, and prediction tasks using modern frameworks (e.g., PyTorch, TensorFlow, scikit-learn).
• Conduct feature engineering, hyperparameter tuning, and model validation using statistical and ML techniques.
• Implement retraining, versioning, and A/B testing strategies to continuously improve model performance.
   

MLOps & Deployment

• Collaborate with DevOps and backend engineers to containerize, deploy, and monitor models in production environments.
• Develop automated data pipelines for training, validation, and inference (Airflow, Kubeflow, MLflow).
• Ensure reproducibility, observability, and CI/CD integration of ML workflows using best practices in MLOps.
   

Data Engineering & Experimentation

• Partner with data engineers to define data ingestion and preprocessing strategies for structured and unstructured datasets.
• Build scalable experimentation frameworks and maintain benchmark datasets for consistent model evaluation.
• Establish and maintain data quality checks, drift detection, and feedback loops from production systems.
   

Collaboration & Impact

• Work closely with product and domain experts to translate business problems into ML tasks with measurable ROI.
• Participate in technical design reviews, code reviews, and cross-functional sprint planning.
• Document methodologies, experiments, and model cards for transparency and compliance (HIPAA, SOC 2, GxP).

Requirements

Experience

• 5+ years of hands-on experience in developing, deploying, and maintaining ML models in production environments.
• Demonstrated success in applying ML/NLP to real-world business problems (healthcare, fintech, or regulated industries preferred).

Technical Skills

• Strong proficiency in Python and core ML/data libraries (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow).
• Experience building and optimizing data pipelines using tools like Airflow, Spark, or Ray.
• Solid understanding of software engineering principles, APIs, and containerization (Docker, Kubernetes).
• Familiarity with cloud services (AWS SageMaker, GCP Vertex AI, or Azure ML).
• Experience with ML lifecycle management tools (MLflow, DVC, Weights & Biases).
• Understanding of data security, governance, and compliance in regulated domains.
   

Soft Skills

• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication skills; able to explain technical concepts to non-technical stakeholders.
• Proven ability to work in collaborative, agile environments.
   

Nice to Have

• Experience in NLP (transformers, embeddings, text summarization, entity recognition).
• Exposure to LLM fine-tuning, prompt engineering, or retrieval-augmented generation (RAG).
• Familiarity with healthcare data standards (FHIR, HL7) or claims processing workflows.
• Contributions to open-source ML projects or published research.

What Success Looks Like (First 90 Days)

• Deliver a trained and validated ML model integrated into one production feature.
• Establish an end-to-end retraining pipeline with automated evaluation and version tracking.
• Deploy monitoring and alerting for model drift and performance degradation.
• Contribute to the team’s internal ML standards and reusable templates for experimentation and deployment.

We’re looking for a hands-on SMM / Content Marketing Specialist to help us build and grow the marketing function from the ground up.

We’re an AI product company with a service component, focused on simplifying complex workflows and helping people make better decisions.

If you enjoy building things from zero, creating content, and experimenting — this role is for you.

What You’ll Do

• Create and publish content across social platforms (short-form videos, posts, etc.)
• Translate complex ideas into simple, engaging messaging
• Support growth initiatives and help attract early users
• Drive community growth by bringing users from social platforms into channels like Discord (for one of our products) and similar communities
• Build and maintain consistent company presence online
• Research what resonates with the target audience and use those insights to shape content
• Experiment with content formats and continuously refine based on performance
• Take a data-driven approach: analyze results, identify what works/doesn’t, and iterate quickly
• Manage your own workflow from idea → creation → publishing

What We’re Looking For

• 2+ years of experience in SMM, content, or digital marketing
• Strong execution mindset — you create, not just plan
• Ability to simplify complex topics into clear content
• Strong curiosity and research mindset — you actively look for what works and why
• Analytical thinking — comfortable reviewing performance and improving based on data
• Comfortable working independently and managing your own priorities
• Proactive, ownership-driven, and willing to learn new domains

Nice to Have

• Experience with short-form video content
• Familiarity with tools like CapCut, Canva, or similar
• Experience in startups or fast-paced environments
• Interest in AI, tech, or building products
• Experience building or managing online communities (e.g., Discord, forums)

Important

• This is a hands-on role — you’ll be creating content yourself
• You’ll be the first/only marketing person initially
• As the company grows, we plan to expand the marketing team and add supporting roles, with the opportunity for you to help shape and influence that growth
• We value speed, ownership, and experimentation

Why Join Us

• Opportunity to build marketing from scratch
• Work directly with founders and shape direction
• High ownership and real impact
• Flexible, fast-moving environment

Remote | High Ownership | Build What Others Only Talk About

About Us

We are building advanced AI-driven technology products designed to transform markets, automate execution, and create real competitive advantage.

This is not an outsourcing agency.

This is not a legacy corporate environment.

This is not a role for people who need constant direction.

We operate fast, think globally, and build products that matter.

Our ecosystem includes AI platforms, automation systems, workflow engines, media intelligence tools, and next-generation execution products used across multiple industries.

We value talent, speed, ownership, and intelligence.

This Is Not a Typical Developer Role

We are not looking for someone to complete tickets.

We are looking for someone who can build.

Someone who sees chaos and creates structure.

Someone who sees friction and automates it.

Someone who uses AI to move faster than others.

Someone who takes ownership until the result is achieved.

What You’ll Do

• Build full-stack AI-powered products from concept to production
• Develop high-performance frontend applications
• Architect scalable backend systems and APIs
• Integrate LLMs, AI agents, automations, and workflow tools
• Collaborate directly with leadership on new products and features
• Turn ideas into shipped systems quickly
• Improve internal operations through smart tooling
• Maintain high code quality while moving fast
• Solve problems independently without waiting for instructions

Tech Stack:

Frontend

React

Next.js

TypeScript

Tailwind CSS

Backend

Node.js

Python

REST APIs / GraphQL

AI / Automation

OpenAI / Anthropic APIs

Cursor / GPT workflows

Agents / prompt systems

Workflow automations

Infrastructure

PostgreSQL

Redis

AWS / GCP

Docker

CI/CD

Who We’re Looking For

You:

Have 5+ years of real engineering experience

Can build frontend and backend confidently

Use AI tools daily to increase productivity

Think like an owner, not an employee

Can work with incomplete information and still execute

Communicate clearly and professionally

Prefer action over meetings

Move fast without losing quality

Want to build meaningful products, not waste years in bureaucracy

Strong Advantage If You Have

Startup / scale-up experience

SaaS product background

AI product experience

Experience shipping products end-to-end

Strong UX intuition

Systems thinking

DevOps / infrastructure experience

What We Offer

Fully remote work

International high-performance team

Direct communication with decision-makers

Real ownership and impact

Fast-moving environment

Opportunity to build cutting-edge AI products

Competitive compensation based on capability

No corporate politics

Time tracker 

Important

Weak execution will fail here.

Low ownership will fail here.

People waiting to be managed will fail here.

Builders thrive here.

Why Join

Because while others are talking about AI, you’ll be building it.

Apply If

You are strong, sharp, fast, and ready to create products that matter.

Location: Remote / Hybrid
Type: Full-time
 

About the Role

We are looking for a data-driven Traffic Arbitrage Specialist to manage and scale paid traffic campaigns across multiple channels. This role focuses on acquiring traffic at a lower cost and monetizing it through advertising, affiliate offers, or owned digital assets to generate profit.

You will play a key role in optimizing campaigns, identifying new arbitrage opportunities, and maximizing ROI across platforms.
 

Key Responsibilities

• Launch, manage, and optimize paid traffic campaigns (Facebook, Google, TikTok, native ads, push traffic, etc.)
• Identify profitable arbitrage opportunities across different traffic sources and monetization channels
• Monitor and analyze campaign performance (CPC, CPA, ROI, LTV)
• Run A/B tests on creatives, landing pages, and funnels
• Scale profitable campaigns while maintaining target margins
• Collaborate with design and development teams on landing pages and funnels
• Track and report performance using analytics tools (Google Analytics, Voluum, RedTrack, etc.)
• Stay updated on industry trends, ad platform changes, and compliance requirements
   

Requirements

• 2+ years of experience in traffic arbitrage, affiliate marketing, or performance marketing
• Proven track record of running profitable paid campaigns
• Strong understanding of paid traffic platforms (Meta Ads, Google Ads, TikTok Ads, native networks)
• Experience with tracking tools and attribution models
• Analytical mindset with strong data interpretation skills
• Familiarity with landing page optimization and conversion funnels
• Ability to manage budgets and scale campaigns efficiently
   

Nice to Have

• Experience with affiliate networks (e.g., ClickBank, CJ, MaxBounty)
• Basic HTML/CSS or landing page builder experience
• Experience with cloaking, anti-ban strategies (if applicable to company policies)
• Background in high-volume or international traffic markets
   

KPIs / Success Metrics

• ROI / Profitability of campaigns
• Cost per acquisition (CPA)
• Revenue per user (RPU)
• Scaling the velocity of profitable campaigns

About Us We are award-winning digital studio working with global clients in real estate, architecture. We create high-end branding, websites, and digital experiences recognized by Webby Awards and Awwwards.

Role Overview We are looking for an experienced Project Manager to lead projects in branding and website development. The ideal candidate is detail-oriented, highly organized, and confident in coordinating creative and technical teams while maintaining excellent client communication.

Responsibilities

• Plan and oversee branding and website projects from kickoff to delivery.
• Develop timelines, assign tasks, and ensure milestones are met on schedule.
• Coordinate designers, developers, and other specialists to deliver consistent quality.
• Maintain professional and proactive communication with clients, providing regular updates.
• Ensure deliverables meet agency standards before presenting to clients.
• Identify risks, solve problems, and keep projects on budget and scope.

• Prepare weekly progress reports for clients and internal management.

   

Requirements

• Proven experience as a Project Manager in a creative/digital agency (branding & web).
• Strong understanding of branding and website design processes (Figma, Webflow, CMS, etc. a plus).
• Excellent communication and organizational skills.
• Ability to manage multiple projects simultaneously under tight deadlines.
• Fluent English (B2 or higher).
• Proactive mindset, problem-solving attitude, and attention to detail.

What We Offer

• Opportunity to work with an award-winning international agency.
• Exciting projects for top-tier clients in real estate, architecture, and luxury sectors.
• Professional growth and career development.
• Supportive and creative team culture.

Do you want to grow as an SEO professional who actually affects revenues?

Are you tired of working strictly by a template without understanding the final goal? We are looking for a Junior specialist with Middle-level ambitions who is ready to take responsibility for results and grow alongside our strategic projects.

What you will be doing (Your responsibilities):

• Launching websites independently and supporting them through their early stages.
• Create technical tasks for copywriters and developers, handle internal linking, and perform on-page optimization
• Analyze SEO donors and competitors to identify growth opportunities
• Conducting SEO tests and experiments
• Assist Senior SEO manager in strategy execution

About you:

• 1+ years of experience in SEO
• Focused on bringing a site to the TOP, not just the process of creating pages
• Solid understanding of ranking algorithms and hands-on experience with tools like Google Search Console and Ahrefs
• Show a genuine interest in the niche and a proven track record of resolving tasks "turnkey" rather than just following instructions.
• Intermediate English level or higher.

We offer:

• Ten days of paid vacation;
• Six days of paid day-offs;
• Personal development plans, mentoring, expert lectures, and book clubs;
• Amazingly friendly and supportive team making your days positive;
• Interesting and exciting projects.

About Marketing Pot:

Marketing Pot is a marketing agency amplifying the impact of exceptional products and services — so that quality becomes the global standard, not the exception.

Our values are:

• Professionalism: We strive for professionalism in all aspects of our operations. We set high standards in communication, interaction with clients and colleagues, and in the performance of our duties. We also value and regularly assess the knowledge, experience, and competence of our employees.
• Quality: We strive for excellence in everything we do. From our products and services to client interactions, we always aim to deliver the best results. We set high quality standards and expect our employees to be responsible for their work.
• Self-Development: We support and encourage the personal and professional development of our employees. We believe in continuous self-improvement and learning, so we encourage our employees to learn new things, expand their knowledge and skills.
• Transparency: We strive for honesty and openness in all our actions and communications. We believe that only through transparent interaction can we achieve mutual understanding and success. We value trust.

If you feel you wanna become the better version of yourself and deliver results you will be proud of, send us your resume. We are waiting for you to join our awesome team ;)

Do you lack the freedom for experiments, while your bonuses are capped by a "glass ceiling"? We are looking for an autonomous player capable of building their own unit and implementing strategies that others lack the courage or budget for.

What you will be doing (Your responsibilities):

• Build and implement SEO strategies focused on growth and visibility.
• Launch and promote multiple sites in high-competition niches (iGaming).
• Create technical tasks for copywriters, link builders, developers, and designers.
• Perform technical on-page and off-page optimization.
• Monitor, analyze, and report SEO performance.
• Develop and execute link building strategies to increase domain authority and visibility.
• Collaborate with the marketing team to integrate SEO into global strategies.

About you:

• 3+ years of experience in SEO (preferably in high-competition niches).
• Solid understanding of search engine algorithms and ranking factors.
• Strong communication skills and readiness to work in a fast-paced environment.
• Proven track record of successfully resolving complex SEO cases and bringing high-competition projects to the TOP
• Upper-Intermediate English or higher.
• Previous iGaming experience is an advantage

We offer:

• Ten days of paid vacation;
• Six days of paid day-offs;
• Personal development plans, mentoring, expert lectures, and book clubs;
• Amazingly friendly and supportive team making your days positive;
• Interesting and exciting projects.

About Marketing Pot:

Marketing Pot is a marketing agency amplifying the impact of exceptional products and services — so that quality becomes the global standard, not the exception.

Our values are:

• Professionalism: We strive for professionalism in all aspects of our operations. We set high standards in communication, interaction with clients and colleagues, and in the performance of our duties. We also value and regularly assess the knowledge, experience, and competence of our employees.
• Quality: We strive for excellence in everything we do. From our products and services to client interactions, we always aim to deliver the best results. We set high quality standards and expect our employees to be responsible for their work.
• Self-Development: We support and encourage the personal and professional development of our employees. We believe in continuous self-improvement and learning, so we encourage our employees to learn new things, expand their knowledge and skills.
• Transparency: We strive for honesty and openness in all our actions and communications. We believe that only through transparent interaction can we achieve mutual understanding and success. We value trust.

If you feel you wanna become the better version of yourself and deliver results you will be proud of, send us your resume. We are waiting for you to join our awesome team ;)

About The Role

As a Senior/Lead Software Engineer in our Machine Learning department, you will take ownership of high-impact initiatives that drive product quality, monetization, and user experience. You’ll apply your expertise in Python, data analysis, and modern AI tools to build, deploy, and optimize ML solutions end-to-end. This is a hands-on technical role that blends data science and engineering to deliver measurable business outcomes. You’ll collaborate closely with cross-functional stakeholders and contribute to evolving areas such as LLMs, Generative AI, and ML infrastructure. The role offers exposure to complex data challenges and the opportunity to shape Pearl’s AI-driven capabilities.

What You’ll Do

• Build, train, and deploy ML models that improve product performance and monetization.
• Collaborate with data, product, and engineering teams across multiple internal initiatives.
• Design and implement data pipelines for extraction, transformation, and analysis.
• Apply statistical and machine learning techniques to real-world business problems.
• Work on projects involving LLMs and Generative AI technologies.
• Analyze large datasets to identify trends, insights, and optimization opportunities.
• Integrate ML models into production systems and monitor their performance.
• Communicate findings and recommendations clearly to technical and non-technical stakeholders.
• Experiment with emerging AI tools and methodologies to enhance existing workflows.
• Ensure data quality, reliability, and scalability in all deliverables.

What We’re Looking For

• 3+ years of hands-on experience in ML Engineering or Data Science.
• 5-6+ years total experience in software or data engineering.
• Strong programming skills in Python.
• Proficiency in SQL for data querying and analysis.
• Solid understanding of data processing, analysis, and visualization.
• Experience with LLMs / Generative AI tools (e.g., OpenAI, Copilot, Cursor).
• Ability to build and deploy ML models end-to-end.
• Strong analytical and problem-solving mindset.
• Experience with .NET for integration work
• Upper-intermediate English proficiency (B2 or higher).
• Familiarity with Databricks or similar data platforms (nice-to-have).
• Exposure to AWS or other cloud-based ML environments (nice-to-have).

Why Join Us?

• High-Impact Data — Work with vast datasets generated by over a million daily visits, uncovering valuable insights.
• Collaborative Analytics Team — Join a team of 30+ skilled analysts who actively share knowledge and support each other.
• Cutting-Edge Tools & Techniques — Get hands-on experience with ML, Bayesian methods, and LLMs to solve real business challenges.
• Data-Driven Culture — Thrive in an environment where data informs every decision and drives continuous improvement.

We're the fastest growing company in the AI legal intake space.

Our product helps law firms capture and convert more leads using voice + chat AI that replaces call centres and after-hours services. 40+ firms run on us today. Built lean, no VC.
 

The story. I started Lexidesk after spending three months trying to find a lawyer myself and seeing how broken legal intake was end-to-end. Built the first version, got it in front of real firms, kept iterating. Today we run thousands of intake calls a week across the UK, US and Canada. Tiny team, AI-native, every person here owns real surface area. We're hiring the first dedicated salesperson to take outbound from founder-led to a real sales motion.
 

What you'll do

• Run outbound to a prepared list of qualified law firm leads using Lemlist, Clay, and manual work
• The first 3 months KPI is booked demos
• After that KPI will be a mix of demos booked + accounts closed.
• Work directly with the founder on messaging, ICP, sequences, your input ships.
   

Comp

• $2,000-3,000/month base depending on level
• $80 per demo booked
• $300 per closed account
• Uncapped.
   

Who this is for

• 1-3 years in outbound or closing. More about hunger than years.
• C1+ English, you're on calls with UK/US lawyers daily
• High agency. You build your own sequences, run your own pipeline, don't wait to be told what to do.
• AI-native: if you've built your own Clay/n8n/Lemlist/Apollo workflows or wired tech into your prospecting, big plus
• Tech background welcome. Engineers who moved into sales do well here.
• Wherever, whenever, we don't care about hours or location. We care about results.

🚀 An international holding is looking for a CEO to launch and scale an ambitious iGaming project from scratch in the CIS market.

This is a key leadership role for someone who wants not just to manage, but to build a business from the ground up and have a direct impact on strategy, product, and results.

🔥 What you’ll do:

• Launch and scale the iGaming product in the CIS market
• Own the full business: strategy, P&L, and growth
• Build and lead a high-performing team
• Drive acquisition, retention, affiliate, and product development
• Optimize unit economics (FTD, NGR, CAC, LTV, ROI)
• Develop and execute go-to-market strategy

🎯 What we’re looking for:

• Proven experience as CEO / Country Director / Head of iGaming
• Strong expertise in the CIS iGaming market
• Track record of launching or scaling products from scratch
• Deep understanding of acquisition, retention, and affiliate models
• Strong leadership and decision-making skills
• English or Russian for daily communication

💡 What you get:

• Full ownership and freedom in decision-making
• Direct access to investors and strategic influence
• Performance-driven environment
• Opportunity to build and scale a business from zero
• Long-term partnership mindset
   

 We are looking for an experienced Media Buyer / Influencer Marketing Manager to drive high-quality traffic acquisition through influencers and content creators across Europe Tier-1 markets.

    
Responsibilities:

• Identify, recruit, and manage influencers across YouTube, Twitch, TikTok, and Instagram
• Manage the full influencer lifecycle: outreach, negotiation, briefing, execution
• Launch and scale influencer campaigns using CPA / RevShare / Hybrid models
• Ensure full compliance with local regulations (18+, responsible gambling, country-specific rules)
• Monitor and optimize performance metrics: CPA, FTD, ROI, LTV
• Test new influencer formats and acquisition channels
• Collaborate with marketing, product, analytics, and affiliate teams
• Prepare reports and optimize campaigns based on performance data

Requirements:

• 2+ years of experience as a Media Buyer / Influencer Manager
• Hands-on experience in iGaming / Betting / Crypto / Nutra
• Proven experience working with Europe Tier-1 markets
• Strong understanding of performance KPIs: CPA, FTD, ROI, Retention
• Solid negotiation and communication skills
• Knowledge of compliance and regulatory restrictions in Europe
• Strong analytical mindset
• English — Upper-Intermediate

 
Nice to Have:

• Existing influencer database
• Knowledge of local languages (DE / IT / ES / FR)
• Experience with long-term influencer partnerships
• Understanding of tracking and postback logic

What We Offer:

• Competitive fixed salary + performance bonuses
• Flexible remote format
• Work with Tier-1 markets and a strong product
• Fast decision-making and minimal bureaucracy
• Opportunity to shape influencer marketing strategy
  
  We strive to be the best among competitors and successfully achieve our goals!

   Join the team of talents and shape the future of the iGaming industry with us!🚀

Requirements: 
Address data is a central component of many processes within Westnetz. It is required for numerous applications, such as the installation of electricity meters, the connection of gas pipes, the billing of services or the deployment of technicians in the field.
Different types of address data are required depending on the use case. As part of a centrally managed expansion project, the address data system to be used by Westnetz for all central IT systems in future is to be fundamentally expanded. The main objective is to expand the address data repository with an additional address data pool in order to supply the required address data to the consuming systems.
In addition, enhancements will be implemented to make the system more user-friendly.

As part of the expansion of an address data master, the following services are to be provided:
- Performing the matching of various address data pools (geodata and attribute data) by developing a matching algorithm with adjustable thresholds
- Carrying out test management: creating test cases, executing the test cases, documenting the test results
- Documenting the interface tests
- Carrying out address data analyses and processing on Azure in SQL, Python and Spark to determine the quality of the address data

Profile:
- A degree in Computer Science, Business Informatics, Industrial Engineering or a related field
- Professional experience as a Data Scientist or in a similar role
- In-depth knowledge of Python, SQL and Spark
- Analytical thinking, structured approach to work