Jobs

With incoming data inflow of ~1 million tweets per day to analyze, we’re looking for a Senior Machine Learning Engineer to build quick, performant, reliable systems on this data. As a first dedicated ML specialist in the team, you’ll have the opportunity to bring many impactful models to delight the user experience. The quality of our ML systems is an important pillar of the competitive advantage of Wallchain.

What will you do

At Wallchain Core Team, everyone is a leader: we strive for success, we want to make an impact, we make a difference.

As part of the team you’ll:

• Take ownership and responsibility: within our team, everyone can count on others. The work of every team member delights everyone else. We value this and expect this from new teammates.
• Build and optimize ML algorithms to scale: work with massive datasets, build knowledge distillation pipelines, deploy systems to production, monitor and iterate.
• Be the primary ML contributor to the development of new projects at Wallchain.
• Implement and ship LLM-based prototypes to create immediate value for users.

Skills

• High level of mathematical intuition
• At least 6 years of combined experience (2+ years in Software Engineering, 2+ years in ML)
• Strong ML skillset: sklearn, pandas, NN (TF/PyTorch, PyTorch preferred)
• Hands on experience with LLMs: Prompt Engineering, Vector DBs, Fine-tuning, RAG, Agents
• Algorithmic knowledge: ability to come up with clever and resilient algorithms
• Strong Research Skills: analyze SOTA papers, search for existing solutions
• Engineering skills to write code for future maintainability and reusability (+design patterns, +SOLID)
• English: good enough to read and write code documentation
• Nice to have: experience building data pipelines
• Nice to have: experience with ML systems on GCP

IMPORTANT - This role focuses on ML engineering, with high-level coding practices. The responsibilities will be almost solely Machine Learning systems development, but the quality of the resulting codebase should be as high as the backend code.

What you’ll get

• Get yourself as close as possible to the hottest technology of the 21st century - blockchain.
• Highly skilled and fantastic team to make a difference with.
• Experience working at a rapidly growing startup - quick learning of a variety of skills, the mindset of bringing value as the primary goal.
• Experienced founders-engineers and team to learn from.
• Be one of the first on the engineering team to have a significant impact on the organization now and in the future.

At Immigrant Invest, we combine advanced technology with deep expertise in investment migration, helping clients obtain citizenship and residency quickly and transparently. We’re now scaling our automation efforts and looking for a skilled Automation Engineer who will play a key role in designing and developing solutions using AI and no-code tools.

Our mission is to eliminate manual routine work and simplify integrations across our core platforms: Salesforce (CRM), Google Workspace, Slack, WhatsApp, and other widely used services.

What You’ll Do

• Build and maintain integrations using no-code platforms (e.g. n8n).
• Implement AI-powered solutions (using OpenAI and others) for document generation, text processing, and multilingual analysis.
• Set up and optimise data workflows: webhooks, JSON/XML parsing, Salesforce automation, Google Sheets, and Slack notifications.
• Monitor automation processes, resolve incidents promptly, and drive ongoing improvements.
• Collaborate with team members to identify new automation opportunities and bring them to life.
   

What We Expect

• 2+ years of experience working with no-code tools (e.g. Make, Zapier, n8n).
• Solid understanding of APIs (REST, OAuth2, HTTP requests).
• Ability to write basic scripts (Python or JavaScript) for custom integrations.
• Experience with or strong interest in working with AI tools (e.g. OpenAI, Claude, etc.).

Nice to Have

• Experience with Salesforce API and Flow Builder.
• Familiarity with Google Apps Script or Microsoft Power Automate.
• Understanding of DevOps basics (e.g. monitoring, CI/CD).

Who Thrives in This Role

• Proactive and solutions-oriented — you’re not afraid to suggest new ideas and take ownership.
• Able to explain technical concepts clearly and simply.
• Detail-oriented — you thoroughly test your automations and care about quality.
• Independent and good at managing your own workload.
• Eager to learn and stay current with new technologies.

What We Offer

• Career growth opportunities: you can grow into a Lead Automation Engineer or Solution Architect, managing the automation strategy and mentoring others.
• Competitive salary (negotiated individually).
• Fully remote work with a flexible schedule — we care about results, not hours.
• Support for your initiatives: 80% of employee suggestions are implemented within a month.
• A lean, bureaucracy-free culture with clear processes and open communication.

Why Join Immigrant Invest?

• We are a market leader in investment migration and rapidly evolving on the tech side.
• Your work has real impact on the lives of hundreds of clients across the globe.
• You’ll be able to see measurable results from your automation and AI solutions — and have the freedom to shape them.

Giga Cloud is a premier Ukrainian cloud provider, with a robust presence in the B2B sector, boasting over 1,500 clients, 150+ global partners, and 5 data processing centers. Since 2016, we've been pivotal in aiding companies of all sizes in digital transformation using our cutting-edge cloud technologies. Our diverse clientele ranges from major corporations and government agencies to SMEs. Renowned for our 24/7 technical support and bespoke solutions, we operate four data processing centers across Poland and Ukraine, maintaining a 99.95% SLA with financial accountability.  
 
Our Mission: We create cloud space to increase your level of Freedom! 

Join the team! 

 

Requirements:

• Experience with Transformer models: BERT, RoBERTa, GPT, T5, LLaMA, Mistral, Falcon, etc.
• Strong knowledge of Python; experience with PyTorch, TensorFlow, and Hugging Face Transformers.
• Understanding of modern LLM architectures and fine-tuning techniques: LoRA, PEFT, Instruction Tuning, RAG.
• Experience with NLP tasks: classification, text generation, machine translation, QA systems, etc.
• Familiarity with evaluation metrics: accuracy, F1, BLEU, perplexity, ROUGE, etc.
• Basic knowledge of statistics and classical machine learning.
• Experience with MLflow, DVC, or similar tools.
• Experience with model containerization (Docker).
• Understanding of CI/CD principles in ML projects.
• Skills in model deployment using FastAPI / Flask / TorchServe / Triton.
• Experience with cloud infrastructure (AWS, GCP, Azure, or local cloud providers).
• Bonus: experience with Kubernetes, Airflow, Kubeflow, Ray.

Responsibilities:

• Selecting and configuring modern Transformer/LLM models for company-specific tasks.
• Fine-tuning, LoRA tuning, model distillation, and quantization.
• Preparing and processing datasets (including augmentation).
• Deploying models to production and automating pipelines (data → training → inference).
• Monitoring model performance in production, retraining, and optimization.
• Collaborating with Data Engineers and DevOps to build the MLOps infrastructure.
• Evaluating model performance using various metrics and analyzing results to identify areas for improvement and optimization.

We offer you:
 

• Having the capability to create something new and witness your own input 
• You can find confidence in the future here, but rest assured it won't be dull 
• Join a dynamic and expanding community. Our company is experiencing growth and expanding into Europe. Currently, we have offices in Kyiv, and Warsaw and plan to open additional locations in other countries. 
• Join our experienced team that values professional development and embraces new opportunities 
• Full-time employment contract 
• Multisport (light) 
• Paid vacation, sick leave 

Your expertise:

• High personal interest and self-development in AI
• Experience with AI agents in Production
• Experience with Data Science activities

Will definitely be a plus:

• Lead personal pet AI projects or participate in AI startups
• High interest and experience in Quantitative Analysis
• High interest and experience in Finance and Economics
• Experience with advanced multi-agent systems
• Experience with Generative AI — complex prompt engineering, RAG, LLM finetuning
• Experience in evaluating the quality of Generative AI and Agentic AI services
• Experience with documenting solution architecture and experiment reports
• Experience with Research & Development projects or scientific research

What’s in it for you?

• Opportunity to deal with top-notch technologies and approaches in a world-leader product company with millions of customers
• Opportunity to make a difference for online privacy, freedom of speech, and net neutrality
• Decent market rate compensation depending on experience and skills
• Developed corporate culture: no micromanagement, culture based on principles of truth, trust, and transparency
• Support of personal and professional development
  • coverage of costs of external trainings, conferences, professional literature
  • support of experienced colleagues
  • in-house events and trainings
  • regular knowledge sharing in teams
  • English classes and speaking clubs
• Life-balance support
  • 25 working days of vacation
  • 5 days of paid sick leave per year without providing a medical certificate (no limitation on sick leaves with medical confirmation)
  • generous maternity leave program
• Professionally strong environment, friendly and open atmosphere, ability to influence the product development and recognition for it

You will be involved into:

• Perform research on Generative AI and Agentic AI solutions
• Develop new AI solutions and participate in the architecture definition
• Support and upgrade current AI solutions used in Production
• Analyze data, design data collection, and assess the quality of the AI services

About the company and project:

ZONE3000 is proud to represent its partnership with Namecheap (www.namecheap.com). Namecheap was founded in 2000 on the idea that all people deserve value-priced domains delivered through stellar service. Today, Namecheap is a leading ICANN-accredited domain name registrar and web hosting company with over 16 million customers and 19 million domains under management — and we’re just getting started.

Our culture is built on the values that we live every day: the way we work, the way we collaborate with our global network of colleagues and the way we relentlessly innovate solutions that meet the emerging needs of our customers.

Namecheap has been on the market for 20+ years and is the 2nd largest domain registry in the world. We are the Namecheap Machine Learning Team.

The team prototypes and develops innovative systems with AI and Machine Learning. At the moment, there are more than 10 Production systems in the areas of Emails, Payments, Customer Service, and Analytics. Some of them have proven quality at the level of global market leaders.

The team provides all the conditions for active professional growth. The culture combines the best from enterprises and startups: a high level of professionalism, truly innovative technologies, friendliness, and stability.

PIN-UP Global is an international holding specializing in the development and implementation of advanced technologies, B2B solutions and innovative products for the iGaming industry. We provide certification and licensing of our products, providing customers and partners of the holding with high-quality and reliable solutions.

We are looking for an AI researcher & engineer to join our teams!
 

Requirements:

- 3+ years of experience in AI/ML research and implementation;

- Expertise in working with large language models (LLMs) and their applications;

- Strong proficiency in Python for data science and ML research;

- Solid grasp of data structures, algorithms, and software engineering principles;

- Familiarity with AWS and its AI/ML services;

- Knowledge of containerization technologies (e.g., Docker) for research environments;

- Experience with MLOps principles and tools;

- Excellent analytical and problem-solving skills;

- Proven experience designing and building production-ready agentic workflows;

- Hands-on experience with LLM orchestration frameworks.

Will be a plus:

- Experience applying AI/ML research to real-world problems, particularly in gambling or gaming industries;

- Familiarity with probabilistic graphical models, causal inference, or Bayesian methods;

- Knowledge of ethical AI and fairness in machine learning;

- Experience with quantum machine learning or neuromorphic computing;

- Understanding of MLOps principles for transitioning research to production;

- Experience developing unique or custom agentic patterns;

- Contributions to or active involvement in open-source communities focused on agentic workflows and LLM orchestration.

Soft Skills:

- Scientific thinking;

- Ability to convey complex technical concepts to both technical and non-technical audiences;

- Strong analytical and critical thinking skills;

- Creativity in formulating novel research questions and approaches;

- Collaborative mindset for interdisciplinary research projects;

- Self-motivated with the ability to work independently on long-term research goals;

- Adaptability to rapidly evolving AI landscape.

Responsibilities:

- Conduct cutting-edge research in AI and ML, focusing on areas such as LLMs, reinforcement learning, and their applications in gambling and gaming;

- Design and implement experimental ML models for affiliate marketing, chat bots, tabular data analysis, traffic optimization, and recommender engines;

- Explore and propose new AI/ML techniques that could benefit the company’s products and services;

- Develop PoC models and articulate their potential impact on business metrics;

- Collaborate with data engineers and software developers to prototype and test new AI solutions;

- Stay current with the latest AI research and assess its applicability to our business needs;

- Contribute to the company’s AI research publications;

- Share knowledge and foster a culture of innovation within the AI team;

- Work closely with product teams to understand business challenges that could benefit from AI solutions;

- Ensure all research adheres to ethical AI principles and gambling regulations;

- Build, deploy, and evaluate production-ready agentic workflows leveraging advanced agent patterns (reflection, tool usage, planning);

- Identify, test, and optimize agentic workflows to enhance performance, autonomy, and cost-efficiency;

- Orchestrate and manage workflows using LLM orchestration frameworks such as LlamaIndex Workflow, LangGraph, CrewAI, or similar tools.

Our Stack:

- Programming Languages: Python (required), C++ and Go (preferred);

- ML Frameworks: TensorFlow or PyTorch, Scikit-learn;

- LLM Frameworks: Hugging Face Transformers, LlamaIndex or LangChain;

- Cloud Platform: AWS (primary);

- AWS AI Services: SageMaker, Comprehend, Lex, Personalize;

- Containerization: Docker, Kubernetes;

- Big Data: Familiarity with Hadoop, Spark concepts (preferred).

Our benefits to you:
🍀An exciting and challenging job in a fast-growing holding, the opportunity to be part of a multicultural team of top professionals in Development, Architecture, Management, Operations, Marketing, Legal, Finance and more;
🤝Great working atmosphere with passionate experts and leaders, sharing a friendly culture and a success-driven mindset is guaranteed;
👨🏻‍💻Modern corporate equipment based on macOS or Windows and additional equipment are provided;
🏖️Paid vacations, sick leave, personal events days, days off;
💵Referral program — enjoy cooperation with your colleagues and get the bonus;
📚Educational programs: regular internal training sessions, compensation for external education, attendance of specialized global conferences;
🎯Rewards program for mentoring and coaching colleagues;
🗣️Free internal English courses;
🦄Multiple internal activities: online platform for employees with quests, gamification, presents and news, PIN-UP clubs for movie / book / pets lovers and more;
🎳Other benefits could be added based on your location.

Hi!

We're currently looking for an experienced NLP Engineer to join our AI team at CHI Software.

We’re looking for someone who’s interested in actively contributing to the growth of the department, as well as taking part in our R&D and pre-sales activities.

Our core R&D efforts are focused on areas such as:

• Sensor fusion
• Deepfake technology
• Image generation
• 3D reconstruction

We're open to new ideas that could be explored within the R&D center, and we’d also be happy to involve you in our current projects.

Here’s a general overview of the position, which reflects the kind of projects we typically work on:

Requirements:

• 2–3 years of commercial experience in Natural Language Processing / Machine Learning;
• Proficient in Python, R, and Java, and expertise in libraries and frameworks such as TensorFlow, PyTorch, sci-kit-learn, and Keras;
• Experience with cloud platforms like AWS, Azure, and Google Cloud, and familiarity with big data technologies including Hadoop and Spark;
• Modeling and DevOps experience for Machine Learning;
• Experience with the latest LLM models currently being rolled out in consumer-facing generative AI tools.

• Upper-Intermediate level of English is mandatory;

  
  Certifications obtained (mandatory):

• Azure: AI Fundamentals AI-900 and Azure AI Engineer AI-102;
• GCP: Cloud Digital Leader, Cloud Engineer, Machine Learning Engineer;
• AWS: Cloud Practitioner CLF-C02 and Machine Learning MLS-C01.

There are options for project-based collaboration in a freelance format if you're not planning to leave your current role. We also have full-time opportunities available.

Thank you for your interest! If your profile aligns with the key requirements, we will reach out to you.

Requirements:

2+ years of experience in MLOps/ML.

Strong knowledge of Python and SQL.

Experience with ML libraries (TensorFlow, PyTorch, NumPy etc.).

Experience in machine learning model deployments and pipelines.

Experience with MLOps frameworks/tools (e.g. Sagemaker pipelines/ Azure ML Studio/ VertexAI/ Kubeflow/ MLFlow).

Understanding of data integration, and database management.

Quick learning abilities.

English upper-intermediate оr higher.

Would be a plus:

Hands-on experience with Cloud Services(AWS, GCP, Azure).

Experience with Docker, Kubernetes, CI/CD, IaC, Prometheus, Grafana.

Responsibilities:

Develop, refine, and use ML engineering platforms and components, development workflow pipelines.

Deployment of open-source and other models to different instances.

Collaborate with ML architect  and data scientists to curate high-quality datasets and optimize data workflows.

Rapid model deployment implementation.

Developing process-related documentation.

Kubeflow and MLFlow upgrade.

We are developing a domain-specific Large Language Model (LLM) with expert-level understanding of frontend development and web accessibility (WCAG, ARIA, etc.).

We are looking for a Web Accessibility Expert who can create training content for the AI in the form of structured prompt-response pairs, code examples, explanations, and annotation guidelines.

This is not a traditional engineering role. You will act as a subject matter expert and content creator, shaping how the LLM understands accessibility, UX, and inclusive interface design.

Responsibilities

• Writing short and long-form answers with code examples simulating expert responses for the LLM;
• Creating examples of accessible and inaccessible UI components with explanations of user impact;
• Defining edge cases, common pitfalls, and best practices for HTML, CSS, JavaScript, and ARIA;
• Collaborating with engineering and QA teams to align content with LLM goals;
• Designing synthetic tasks such as accessibility audits, design reviews, and bug analysis.
   

Required Skills & Qualifications

• 5+ years in frontend development with a strong focus on web accessibility (WCAG 2.1+, ARIA, assistive tech support) — mandatory;
• Strong ability to explain technical concepts clearly (to junior developers or AI models);
• Proven experience building accessible UI components using vanilla JavaScript;
• Proficiency with tools such as axe-core, Lighthouse, NVDA, VoiceOver;
• Advanced English proficiency (both spoken and written) — for effective communication with the English-speaking team and for writing clear, technical content;
• Fluency in Ukrainian or Russian — for internal communication with the team.
   

Nice to Have

• Experience writing training materials, technical documentation, or blog posts;
• Experience with Angular, React, Vue, or similar frameworks;
• Background in AI/ML, prompt engineering, or data annotation;
• Understanding of LLM architecture and what defines a high-quality dataset;

• Knowledge of mobile accessibility best practices.

   

  Why Join Us

• The opportunity to work on a cutting-edge project at the intersection of AI and accessibility;
• A real impact on how future AI systems understand inclusive design
• Fully remote work;
• Competitive compensation (based on experience) with potential for contract extension;
• Flexible schedule and a supportive, open-minded team.

Inspired by this role? So we are! Just share your resume with us.
Let's talk soon!

Join our dynamic Gen AI team and be at the forefront of innovation, working on transformative projects for some of the most recognized companies worldwide. As an AI Consultant, you will participate in the implementation and development of AI-powered solutions across a broad range of applications, from Gen AI tools to fraud detection systems. 

Sample Projects: 

• GenAI-powered data analytics dashboard: Explore business data using only natural language. 
• GenAI-powered document tool: Chat with both unstructured and structured documents and extract information 
• Knowledge Assistant: Enabling ERP transformation for a client by implementing GenAI tool answering employee questions based on the available documentation. 
• Large-scale agricultural monitoring system: Analyze satellite images with Computer Vision. 
• Automated risk-based reconciliation: Identify anomalous transactions in accounting ledgers. 

Key Responsibilities: 

• Participate in AI projects from inception to completion, ensuring timely delivery of high-quality solutions. 
• Solution Development: Design and implement cutting-edge AI and GenAI solutions, including Retrieval-Augmented Generation (RAG) for knowledge retrieval, prompt optimization, and fine-tuning of large language models (LLMs). Apply AI techniques to areas such as fraud detection, satellite imagery analysis, time-series forecasting, and automated data quality validation to enhance decision-making and automation. 
• Innovation and Learning: Stay ahead of the latest trends and developments in AI. Contribute to the continuous improvement of internal processes and solutions, embracing opportunities for professional growth and learning. 
• Client Interaction: Work closely with clients to understand their unique needs and provide expert guidance and support throughout the project lifecycle. 

Personality requirements and skills: 

• Experience working on AI/ML projects, in areas such as Generative AI, Natural Language Processing (NLP), Computer Vision or Machine Learning model development and deployment. 
• At least 2 years of professional experience in one of the areas above 
• University degree in Mathematics, Physics, Computer Science, or a similar field is an advantage 
• Advanced programming skills in Python (pandas, plotly, numpy); proficiency in other programming languages is a plus. 
• Experience with SQL databases; familiarity with NoSQL is a plus 
• Experience with generative AI models, including prompt engineering is a plus 
• Langfuse for logging, monitoring, or analyzing AI model behavior is a plus 
• Fluent in English (level B2 or higher). 

Policy statements:

https://www.pwc.com/ua/uk/about/privacy.html

About the company:

Softermii (https://www.softermii.com/) is an outsourcing/outstaffing company with more than 10 years of experience in web and mobile application development with a team of more than 120 specialists from 6 countries.

We have withstood multiple challenges, such as COVID-19 pandemic and war aggression against Ukraine, we have secured sustainable development processes, saved all our projects and jobs. Even more – we’re constantly growing.     

Every day we add new project to our portfolio in the following areas of expertise:

• Healthcare
• Real estate
• Livestream E-commerce
• Fintech (WealthTech, Capital Trading)
• Real-Time Communications (RTC)

In addition, we develop 2 of our own solutions that help our customers get faster applications for video or audio calls (https://www.softermii.com/solutions/vidrtc) or an application for real estate with 3D visualization

(https://www.softermii.com/solutions/apartmii)

Company’s mission:

Softermii: Succeed Without (L) imitations

We will turn any idea into a valuable product.

Our plans as a company:

We want to move from a regular outsourcing business to an ecosystem of outsourcing, education and product development companies.

________________________________________________________________________

📲Project:

Team's goal is to deliver Hotel Business Management solution in a few phases starting MVP.

This tool will enable users to focus on Revenue Management, cover Guest Check-In experience, Marketing & Retention, Analytics & Reporting, Service Desk and other features that market requires.

👬Why we have opened this vacancy: Team extension.

👨‍💻Type of cooperation: Full-time cooperation 

⚡️Your responsibilities on the project will be:

• Lead the full lifecycle of AI/ML models: research, design, experimentation, deployment, and monitoring.
•  Develop predictive analytics models for churn prediction, forecasting, segmentation, risk assessment, and price optimization etc.
• Establish and implement data science best practices, ensuring model scalability, accuracy, and efficiency.
• Work closely with product managers, engineers, and business stakeholders to align AI insights with business objectives.
• Apply advanced analytics, causal inference, experimentation, and predictive modelling to create a measurable business impact.
• Present key findings and research to executives, clients, and internal teams, simplifying complex insights into actionable strategies.
• Manage a small team of Data Scientists/ML engineers.

👯You can be part of the following team: 
Client side: Business Owner, Senior AI/ML Engineer, Data Engineers, Subject Matter Experts.

Softermii side: Software Architect, 2-3 React.js/Node.js Engineers, 2-3 AI/ML Engineers, 3 Data Engineers, DevOps, Business Analyst/Proxy PO, UI/UX Designer, 2-3 Quality Assurance Engineers, Project Manager.

🕹Tools we use: Jira, Confluence, Git, Figma

🗞Our requirements to you:

- 3+ years of hands-on experience in Machine Learning, Data Science and GenAI, with a proven track record of deploying production-level models.

- BSc/MSc/PhD in Computer Science, Mathematics, Statistics, Physics, or a related field.

- Strong proficiency in Python, SQL, and cloud-based ML pipelines (AWS, GCP, or Azure).

- Expertise in time series forecasting, clustering, classification, predictive modelling and machine learning.

- Experience working with large-scale datasets, data pipelines, feature engineering, and model

optimization.

- Ability to bridge the gap between data science and business, translating insights into real-world impact.

- Proven ability to take ownership of projects, drive initiatives, and deliver results.

- Strong communication skills, with the ability to present technical findings to both technical and

non-technical audiences.
- Upper-Intermediate English level.
 

👨‍💻Who will you have the opportunity to meet during the hiring process (stages):

Call, HR, Tech, PM interview.

🥯What we can offer you:

- We have stable and highly-functioning processes – everyone has their own role and clear responsibilities, so decisions are made quickly and without unnecessary approvals. 

- You will have enough independence to make decisions that can affect not only the project but also the work of the company.

- We are a team of like-minded experts who create interesting products during working hours and enjoy spending free time together.

- Do you like to learn something new in your profession or do you want to improve your English? We will be happy to pay 50% of the cost of courses/conferences/speaking clubs.

- Do you want an individual development plan? We will form one especially for you + you can count on mentoring from our seniors and leaders.

- Do you have a friend who is currently looking for new job opportunities? Recommend them to us and get a bonus.

- And what if you want to relax? Then we have 21 working days off.

- What if you are feeling bad? You can take 5 sick leaves a year.

- Do you want to volunteer? We will add you to a chat, where we can get a bulletproof vest, buy a pickup truck or send children's drawings to the front.

- And we have the most empathetic HRs (who also volunteers!). So we are ready to support your well-being in various ways.

👨‍🏫A little more information that you may find useful:

- our adaptation period lasts 3 months, this period of time is enough for us to understand  each other better;

- there is a performance review after each year of our collaboration where we use a skills map to track your growth;

- we really have no boundaries in the truest sense of the word – we have flexible working day, remote or office is up to you.

Of course, we have a referral bonus system. So if you have a friend who likes our job opening, you can give us their telegram contact, and we in turn will thank you with a bonus if we start working with them!

Job Description

Projects Overview for Candidates:
 

We partner closely with Google and collaborate with a diverse range of clients across industries. Our projects vary, from building predictive models for e-commerce platforms to anticipate consumer behavior, to helping production companies automate and enhance their inspection processes through AI-driven solutions.
 

We work with a mix of pre-built models (e.g., Google's Gemini) and custom models, which we fine-tune and deploy based on specific client requirements. Your project allocation will be determined by your skill set and start date, ensuring a strong match for both your expertise and the current project needs.

 

Our projects typically follow these phases:
 

• Workshop: In this phase, we engage with clients to understand their challenges, conduct research, and propose tailored AI solutions.
• Proof of Concept (PoC): Here, we build a prototype to validate the feasibility of the proposed solution.
• Development: This is where we transition into long-term projects, focusing on the full-scale development and implementation of the solution.
   

While we primarily use Google Cloud Platform (GCP) infrastructure, we are also equipped to work with a variety of models and cloud services depending on the project's requirements.

 

Requirements

- Very good experience with Python 
- Generative AI OR / AND Traditional AI

- Deploying models as REST APIs (Flask) and using TFServe (Tensorflow).

- Customer presentation experience OR skills: The candidate is not afraid to give presentations and is ready to communicate with the client.

 

Big plus

- experience with GCP, AWS and Azure.
 

Duties 

- Develop proof of concept, MVP, app chatbot from LLMs, GCP tech stack for GenAI, and Python coding.
 

We are searching for a talented AI Content & Prompt Engineer to enhance content generation and AI-driven processes across our various projects in our digital ecosystem.
 

Key Requirements:

• Proven experience working with generative AI tools (e.g., ChatGPT, Midjourney, HeyGen, Claude, Copy.ai)
• Strong command of prompt engineering and content generation workflows
• Solid understanding of AI-powered SEO content creation and optimization
• Experience producing AI-generated video content using tools like HeyGen, D-ID, or similar platforms
• Basic knowledge of automation tools and content publication flows (e.g., Zapier, Notion AI)
• Excellent written English; other Western European languages are a plus
• Highly creative mindset with strong attention to detail and quality
• Basic understanding of visual content standards and graphic tools (Canva, Figma, or equivalents)
• Self-organized, reliable, and able to work independently in a remote environment
• High emotional intelligence

• Familiarity with data visualization or using AI for business analytics will be a plus

   

The selected candidate will be responsible for:

• Creating and refining prompts to generate high-quality content for SEO articles, blogs, and landing pages
• Producing AI-generated video content and avatars for social media and marketing
• Collaborating with marketing and design teams to ensure consistent brand messaging and tone
• Automating parts of the content pipeline for faster delivery and publication
• Optionally assisting with AI-based dashboards or internal data projects

• Keeping up-to-date with the latest tools and features in the AI content space

   

Languages:

The main languages of communication in the company are English, Italian, Russian, and Ukrainian. Since our team has many people from the CIS, we also use Russian for better understanding. We do not cooperate with aggressor countries.

Conditions:

• Remote work, flexible schedule
• Hourly payment, 40 hours per week

• Long-term collaboration

   

Benefits of working with us:

• Decent salary with opportunities for review every six months, based on performance and willingness to take on additional responsibilities
• 24 calendar days of paid vacation
• Paid sick leave with a doctor's certificate
• No unnecessary distracting meetings, only the essential ones
• Project diversity ensures horizontal rotation opportunities

• Access to a budget for professional development after completing a three-month probationary period, including relevant external courses, conferences, and seminars

   

And a few very important things to know about us:

We're a small but successful team of professionals fostering a "family-like" culture. However, this isn't the kind of family that gathers a few times a year to celebrate something. It's a union of individuals bound by common interests and a sense of belonging to a shared mission, a desire to see a magnificent result of joint efforts.

We have a flat company structure, which means that your ideas and suggestions will not go unnoticed by management.

We take a highly responsible approach to the selection of our team members: no matter what position we hire someone for, the main quality we look for is a people-first attitude. That's why in our team you won't meet indifferent bureaucrats, but you will definitely meet like-minded buddies.

Convinced this is the right fit? Apply now and let's make it happen!

Job Description

Required:

• Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field.
• +5 years of experience in machine learning and NLP, with a focus on developing applications using LLMs.
• Proficiency in programming languages such as Python and frameworks/libraries like TensorFlow, PyTorch, Hugging Face Transformers.
• Experience with cloud services (AWS, Azure, GCP) for deploying ML models and applications.
• Strong understanding of RESTful APIs for integrating chatbot functionalities into different platforms.
• Familiarity with version control tools (e.g., Git) and ML development tools (e.g., Jupyter Notebooks, MLflow).
• Participate in pre-sales activities, including developing ML offering materials and engaging with clients to understand their needs, presenting
  tailored solutions, and demonstrating the potential impact of our ML technologies.
• Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.

Preferred:

• Knowledge of front-end technologies (HTML, CSS, JavaScript) for crafting interactive chatbot interfaces is advantageous but not required.
• Certifications or advanced training in machine learning, cloud architectures, or similar fields.
• Active participation in relevant tech communities or contributions to open-source projects in the ML/NLP domain.

Job Responsibilities

• Design and implement chatbot solutions using Large Language Models such as OpenAI GPT API or similar frameworks.
• Collaborate with cross-functional teams to integrate chatbot solutions into existing platforms and workflows.
• Optimize and fine-tune LLMs for performance, accuracy, and user engagement.
• Build and optimize RAG and vectorized databases
• Monitor and evaluate the performance of chatbot applications, identifying areas for improvement and implementing updates.
• Stay up-to-date of developments in AI, machine learning, and NLP to ensure our solutions remain cutting-edge.
• Develop and maintain documentation related to ML models, including model design, deployment details, and performance metrics.
• Work with data engineers to ensure the availability and quality of data for training and fine-tuning models.

• Implement security measures to protect sensitive information processed by chatbots

   

Department/Project Description

We are seeking a highly skilled and motivated Machine Learning Developer to join our dynamic team, focusing on developing, deploying, and optimizing Large Language Models for chatbot applications. This role involves working on cutting-edge AI technologies to create conversational agents that provide engaging and insightful interactions with users. The ideal candidate will have a strong background in machine learning, Natural Language Processing, and experience in developing LLM-based chatbots.

Our mission at Geniusee is to help businesses thrive through tech partnership and strengthen the engineering community by sharing knowledge and creating opportunities 🌿Our values are Continuous Growth, Team Synergy, Taking Responsibility, Conscious Openness and Result Driven. We offer a safe, inclusive and productive environment for all team members, and we’re always open to feedback💜 If you want to work from home or work in the city center of Kyiv, great — apply right now.

Requirements.
● 4+ years of hands-on experience in computer vision, with a strong focus on embedded/edge device optimization;
● Deep knowledge of CNN-based object detection and face detection techniques;
● Expertise in model compression, quantization, and acceleration for embedded inference;
● Strong Python and C++ development skills;
● Experience with deployment tools: TensorRT, ONNX Runtime, TFLite, OpenVINO, or CoreML;
● Familiarity with embedded platforms (e.g., NVIDIA Jetson, Qualcomm Snapdragon, Raspberry Pi with Coral Edge TPU);
● Experience in profiling and optimizing models for latency, throughput, and memory efficiency.

What you will do.
● Communication: Lead as part of a scrum team focused on delivering production-ready, optimized computer vision models. Promote clear, respectful, and constructive communication;
● Collaboration: Work closely with machine learning engineers, software developers, and hardware teams to ensure seamless integration of vision models into products;
● Documentation: Maintain high standards for documenting model training processes, optimization techniques, deployment pipelines, and performance benchmarks;
● Continuous improvement: Stay updated on state-of-the-art research in embedded computer vision and edge AI, bringing new ideas and technologies into the development process;
● Planning: Actively participate in sprint planning and provide accurate estimations, particularly for model optimization and deployment tasks.

Model Development and Optimization:
● Design and optimize CNN-based object detection and face detection models;
● Implement advanced model optimization techniques, including pruning, quantization, and knowledge distillation;
● Develop models with a focus on efficient deployment on embedded or edge devices.

 Embedded Deployment:
● Use tools like TensorRT, ONNX Runtime, TFLite, OpenVINO, or CoreML for deployment;
● Work with embedded hardware platforms such as NVIDIA Jetson, Qualcomm Snapdragon,
and Raspberry Pi with Coral Edge TPU.

Performance Profiling:
● Profile models for latency, throughput, and memory efficiency;
● Optimize the inference performance to meet strict resource and timing constraints on target devices.

Development Skills:
● Develop and maintain codebases in Python and C++ to support model integration and deployment pipelines.

What you will get.
● Competitive salary and good compensation package;
● Exciting, challenging and stable startup projects with a modern stack;
● Corporate English course;
● Ability to practice English and communication skills through permanent interaction with clients from all over the world;
● Professional study compensation, online courses and certifications;
● Career development opportunity, semi-annual and annual salary review process;
● Necessary equipment to perform work tasks;
● VIP medical insurance or sports coverage;
● Informal and friendly atmosphere;
● The ability to focus on your work: a lack of bureaucracy and micromanagement;
● Flexible working hours (start your day between 8:00 and 11:30);
● Team buildings, corporate events;
● Paid vacation (18 working days) and sick leaves;
● Cozy offices in 2 cities ( Kyiv & Lviv ) with electricity and Wi-Fi (Generator & Starlink);
● Compensation for coworking (except for employees from Kyiv and Lviv);
● Corporate lunch + soft skills clubs;
●Unlimited work from home from anywhere in the world (remote);
● Geniusee has its own charity fund.

About the Role:

We are looking for a skilled and proactive AI Solutions Analyst with a strong technical background and experience in product management to lead the design and implementation of software solutions leveraging Generative AI technologies. You will play a key role in translating business needs into technical solutions, shaping product architecture, and ensuring smooth collaboration between stakeholders, developers, and AI experts.

Key Responsibilities:

• Design end-to-end software solutions using Generative AI tools, platforms, and models.
• Act as a bridge between business requirements and technical implementation.
• Collaborate with product owners, developers, and data scientists to shape product vision and delivery.
• Analyze and document system requirements, workflows, and use cases.
• Review and understand code when needed to ensure alignment between design and implementation.
• Participate in change management and ensure traceability of decisions throughout the development lifecycle.
• Stay up to date with the latest developments in Generative AI platforms and frameworks (e.g., OpenAI, Hugging Face, LangChain).

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• 4+ years of experience as a Product Manager, System Analyst, or Solution Designer in software development projects.
• Solid understanding of the full software development lifecycle (SDLC).
• Ability to read and understand code (e.g., Python, JavaScript).
• Proven experience in requirements gathering, documentation, and change management.
• Strong understanding of Generative AI mechanisms, tools, and platforms.
• Familiarity with prompt engineering and LLM fine-tuning.
• Excellent problem-solving, communication, and analytical skills.

Nice to Have:

• Hands-on experience with implementing AI-powered features or products.
• Experience working in Agile/Scrum environments.