Jobs

The product that needs your engagement:

Mobion & OnTaxi

Our mission is to propel the success of global ride-hailing companies by delivering intelligent, scalable SaaS solutions. Since 2016, we have optimized operations, enhanced user experience, and driven profitability with powerful analytics, intuitive interfaces, and flexible customization. With deep industry expertise and cutting-edge technology, we provide the agility and insights needed to thrive in any market, empowering businesses to adapt and grow in a fast-changing environment.
 

Technical stack: Python, Spark, SQL, Kubeflow, MLflow, ETL. 
 

Your future team of professionals:

You will be part of the Mobion product Data & Research team and work with highly motivated professionals who are passionate about the project.

You will collaborate with engineers, product managers and analysts.

Your future challenges:

Development of new machine learning models, improving the efficiency of business processes, such as demand forecasting and pricing.

Impact you will make:

— Development of machine learning models: Building and supporting models for pricing, demand forecasting, routing and analyzing customer behavior

— Data Science: Work with large volumes of data to uncover hidden dependencies and anomalies

— Deploying models to production: Collaborate with engineers to integrate models into the system

— Model monitoring and optimization: Constantly monitoring model latency, scalability, and implement versioning strategy

— Working with Business Teams: Collaborate with product managers and other teams to integrate models into the decision-making process

— A/B Testing and Model Evaluation: Analyze the results of experiments to improve the product.

Skills we are looking for:

— 4+ years of experience in data science

— English Upper Intermediate or higher

— Experience with Python (statistical and ML packages) and Spark

— Expert knowledge in SQL

— Knowledge of mathematical and applied statistics, probability theory, regression analysis

— Experience with ML tools: Kubeflow, MLflow, and ETL tools

— Proven experience developing ML models for Surge Pricing, Demand Forecasting, or similar high-load, real-time prediction systems

— Experience working with time-series, geospatial data, and dynamic pricing algorithms is a strong plus

— Experience in data preparation, feature engineering, and model evaluation.

— Git and Gitflow Workflow knowledge

— Successful experience in developing and implementing DS solutions into a product that led to improved business results

— Ability to effectively explain the technical aspects of modeling and analysis to business teams

— Ability to work in cross-functional teams and present work results at different levels

— Ability to analyze complex tasks and propose structured solutions

Additional skills we would appreciate:

— Familiarity with mobility, logistics, or transportation data and KPIs (ETA predictions, surge pricing, driver utilization)

Benefits you get:

• Maintain your work-life balance

Manage your own working hours with our flexible schedule

19 days of annual vacation granted on a pro-rata basis

No overtimes required

• Hybrid type of cooperation

Whether you prefer to work remotely in the comfort of your home office or from one of our 4 offices, you can still take part in increasing the world`s awareness about quality Ukrainian products from any part of the world

• Stay healthy

Medical insurance from one of the top insurance companies in Ukraine with a wide range of included services, as well as special programs for relatives; and special options for those who live abroad.

15 working days of sick leave per year — because your health is a priority.

• Grow with us

In-house English courses — increase your proficiency through our online courses and speaking clubs with a native speaker

Online learning activities — workshops, lectures, and webinars to enhance your leadership, management, and self-awareness skills

Experience exchange — we are proud of our team of professionals who gladly share their deep expertise in all kinds of fields with the rest of the team

Promotions, rotations, and transitions — when you feel like your skills could be useful in other positions or team

• Stand with Ukraine!

We have an active pro-Ukrainian position, and that means we help our army, our servicemen, and their families not only through constant donations and volunteering, but also through our military leave policy, special health insurance options, and financial help

• We are a perfect match if you share our values

We are professionals in our field.

We know how to turn up our professionalism to the maximum, because we are experts who enjoy solving complex tasks.

We know how to focus on the product, think big, and at the same time delve deep into the details.

We create a calm and friendly atmosphere within the company.

We value the freedom of open and transparent communications.

Radical honesty is embedded in the foundation of our culture.

We are open to new things and constantly develop and practice regular knowledge sharing, which helps us evolve continuously.

Most importantly, the company creates an environment where we can fulfill our potential upon a solid foundation. 
 

Our Hiring Process:

• Recruitment Interview
• Test task
• Technical Interview
• Offer Call

We approve of a flexible approach, so these steps might be changed individually. 
 

We strive to ensure transparency and openness in the hiring process, and we understand the importance of providing timely feedback. If your resume meets the job requirements, we will contact you to clarify details and schedule an interview within 2 weeks after your application is submitted. The timeframe for feedback between interview stages may take up to 2 weeks.

We are looking for middle-level Computer Vision Engineers to join an AI startup specializing in real-time camera analytics for smart city and government use. Their system monitors stationary or slow-moving objects to automate manual processes and deliver actionable insights that improve urban efficiency and safety.
 

Who are we looking for?
✅ Strong Python development skills with 3+ years of hands-on experience.
🧠 Practical experience with AI/ML frameworks, such as PyTorch and/or TensorFlow.
🎥 Commercial experience in Computer Vision or video analytics projects.
🚀 Comfortable working in a dynamic startup environment, with self-drive and adaptability.
🗣️ Strong English communication skills, both verbal and written.

Strong advantage:
● Experience with edge computing, Docker, REST APIs.
● Experience working on projects within the smart city technology sector.
● Experience in developing projects from scratch.

As a Computer Vision Engineer you will:
● Work with a startup team as part of a cross-functional development group.
● Develop and maintain computer vision software using Python, OpenCV, YOLO, and related technologies.
● Integrate AI models into real-time video processing workflows.
● Deploy solutions on edge devices and cloud platforms (e.g., AWS, Azure, etc.).

We offer:
● А place with friendly environment where you can reach your full potential and grow your career
● Flexible work schedules
● Work from home
● Social package: paid sick leave and vacation
● English courses, medical insurance, legal support, etc.

We are seeking a proactive AI Engineer/Automation Specialist to analyze client business processes, identify automation opportunities, and implement AI-driven solutions. This role involves working closely with stakeholders to design optimized workflows and deploy AI agents using platforms like Zapier, Make.com, and n8n. You’ll integrate tools such as CRM, ERP, Notion, Slack, Gmail, Hubspot, and ensure smooth rollouts through testing and continuous improvement.

You will be working on our internal product, focused on process optimization and automation for clients.

REQUIREMENTS

We’re looking for AI Engineer/ Automation Specialist who has:

• Hands-on experience with AI tools and no-code/low-code automation platforms;
   
• Strong understanding of APIs, webhooks, and workflow logic;
   
• Familiarity with basic programming/scripting (e.g., Python, Node.js);
   
• Knowledge of AI/ML concepts such as NLP, LLMs, prompt engineering (a plus);
   
• Analytical thinking and the ability to break down complex problems into scalable automation flows;
   
• Excellent communication, presentation, and teamwork skills.

RESPONSIBILITIES

Objective:
Analyze existing business processes, identify opportunities for improvement through automation tools, and implement AI agents to streamline operations — working directly with client stakeholders to ensure alignment and success.

We're looking for AI Engineer/ Automation Specialist who will:

• Analyze existing customer business process in tight cooperation with stakeholder, define "state-to-be" -= optimised BP, implement improvements via automation and agents to identify automation opportunities;
• Design and deploy AI agents using platforms such as Zapier, Make.com, n8n, etc;
• Integrate AI solutions with customer tools (e.g., CRM, ERP, Slack, Notion, Gmail, Hubspot);
• Test, monitor, and fine-tune AI agents to ensure reliability and performance;
• Collaborate closely with product, development, and client teams, customer stakeholders, process owners and decision makers to ensure smooth rollouts.
   

ABOUT PROJECT

Description

Easyflow is here to boost your business with AI agents that automate routine tasks and free up your team for high-impact, strategic work.

Choose the AI solution that fits your needs – data processing, decision making, performance reporting, and task execution. Of course, these are not all the possibilities!

Nothing from scratch! Easyflow AI agents integrate smoothly into your existing workflows, handling the repetitive tasks so your employees can focus on business growth.

Project Team

8 people

WHAT WILL YOU GET WITH KINDGEEK

We want you to thrive and feel supported

• Professional growth: at Kindgeek, we want our employees to grow and achieve ambitious professional goals. We support professional development with training and certification refunds and provide regular feedback and technical reviews.
• Benefits package: Kindgeek offers all team members competitive compensation and a benefits package that includes 18 working days of fully paid vacation, 10 compensated by 50% sick leaves without a note from the doctor, and an opportunity to take study leaves. Depending on how long you stay in the company, you can receive different health insurance packages from our partners.
• Personal growth: as a part of our team, you will have access to corporate English courses with a 50% reimbursement, take advantage of our offline library and access a large selection of corporate training and classes. Also, every employee can request any internal or external training or certification if it applies to his or her work responsibilities.
• Geek community: at Kindgeek, we value community – even in the full-scale invasion times, we take every opportunity to stick together. Our geeks organise various online and offline clubs – from stretching and skiing to English. We volunteer together and support each other.
• Flexibility: Kindgeek offers a hybrid working model. Team members can work remotely or from the office or Kindgeek London Hub – an innovative cafe-style co-working in Lviv (it's pet-friendly!).

We encourage you to apply

At Kindgeek, we encourage everyone to apply – regardless of nationality, race, gender, marital status, disability, sexual identity, or religion. We are growing into an inclusive, equal-opportunity company where only professionalism, competence, and ideas matter. We are committed to supporting mobilised employees and veterans joining Kindgeek and facilitating their career development. We aim to bring equal opportunities to all team members and candidates – especially those underrepresented in technological companies.

We're seeking a hands-on AI-savvy generalist to bridge the gap between business needs and smart, AI-powered solutions. This is not your classic dev or analyst role. 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.

It’s a flexible, cross-functional position where you’ll:

• Communicate with internal stakeholders to understand business challenges
• Rapidly prototype solutions using modern AI tools (ChatGPT, LangChain, vector DBs, etc.)
• Design end-to-end software solutions using Generative AI tools, platforms, and models.
• Review and understand code when needed to ensure alignment between design and implementation.
• Evaluate AI technologies and propose how they can be used in real workflows
• Shape early-stage ideas into working demos that bring real value

You might be a good fit if you have:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• 3+ years of experience with AI tools 
• 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.

We are looking for a hands-on AI Developer who can build and integrate AI-powered features while also handling regular backend development tasks using Node.js. You’ll work across the stack to bring intelligent features into products  — from prototyping with AI models to implementing APIs and business logic.

Responsibilities
• Develop and integrate AI-powered features (e.g., chatbots, recommendation engines, image/video analysis);
• Use pre-trained models and APIs (OpenAI, Hugging Face, etc.) or fine-tune existing models;
• Implement backend services and APIs using Node.jsOptimize AI functionality for performance, scalability, and cost-efficiency;
• Monitor and improve AI performance in production;
• Stay up to date with recent advances in AI/ML tools and frameworks.

Requirements
• 3+ years of experience as a software developer;
• At least 1 year of experience in AI development (including commercial work, pet projects, or non-commercial experience);
• Strong experience with AI/ML frameworks and APIs (e.g., Hugging Face, OpenAI, LangChain);
• Understanding of LLMs, embeddings, vector databases, and prompt engineering;
• Ability to design and implement RESTful APIs;
• Good understanding of relational and/or NoSQL databases;
• Ability to write clean, maintainable, and scalable code;
• Strong problem-solving skills and ability to translate business needs into technical solutions;
• Experience with cloud platforms (AWS, GCP, Azure) is a plus;
• Bachelor’s degree in Computer Science or related field.

Nice to Have
• Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face);
• Experience with LangChain, RAG, or other LLM-focused tooling; 
• Background in NLP or computer vision;
• Familiarity with MLOps, model deployment, and monitoring;
• Experience with GraphQL, serverless architectures, or microservices;
• Contributions to AI/ML open source projects or hackathons.

We offer:
• Remote workplace or a comfortable office in the center of Kyiv;
• 18 working days of paid leave annually;
• Unlimited sick days;
• Salary review twice a year;
• Compensation for our English-speaking club — 100%;
• Compensation for coworking spaces — 100%;
• Compensation for gym memberships and professional courses — 80% (after the trial period);
• Compensation for any English courses — 50% (after the trial period);
• Compensation for sessions with a psychologist — 50% (after the trial period);
• Medical insurance (after the trial period).

Interview Stages:
Screening Interview ➡️ Technical Interview ➡️ Job Offer

If you have the skills, passion, and determination we're looking for, apply now to become part of our exciting journey ⭐️

Client

Our client is a financial company that operates in Canada. We are developing multiple website platforms for end-users in order to make their financial operations easier.

Position overview

As an AI Automation/RPA Specialist, you'll use Microsoft Copilot Studio and Power Automate to build and deploy AI-powered workflows that solve real business problems—fast. From automating document intake to building conversational agents that reason through exception cases, you’ll be at the forefront of enterprise AI transformation.

Candidates must be available to work until 1 PM EDT.

Responsibilities

• Design and deploy Copilot Studio agents for use cases like customer support, document review, and internal triage
• Build Power Automate flows that connect data from SharePoint, Dynamics 365, Outlook, Teams, and third-party APIs
• Use generative AI to summarize, reason, and respond to user inputs dynamically
• Collaborate with business units to rapidly prototype and launch AI-driven automations
• Build human-in-the-loop flows for compliance, exceptions, and QA reviews
• Maintain prompt templates, reusable connectors, and process documentation

• Monitor bot/agent performance and iterate using analytics and user feedback

   

Requirements

• 3+ years of hands-on experience with Power Automate and Microsoft Power Platform
• Strong background building and deploying agents in Copilot Studio / Power Virtual Agents
• Deep knowledge of LLMs, AI prompt design, and reasoning workflows
• Experience integrating with Microsoft 365 tools and REST APIs
• Ability to design scalable automation solutions with business logic and exception handling

• Strong communication and documentation skills

   

Nice to have

• Experience with Azure OpenAI or Syntex
• Knowledge of AI Builder, Dataverse, or Power BI
• Microsoft certifications (e.g., PL-200, PL-500, AI-102)
• Previous work in lending, insurance, or financial services

A centre of excellence (COE) is a team of senior tech experts who conduct research on the strategic tech trends, maintain top quality standards, foster professional development, and can provide you with expert consulting throughout the whole development process.

The CoE helps our clients to perform a Product Discovery Phase, build a prototype, and validate a product concept. The experts provide a client with a High-Level Architecture plan, the suggested technology stack, the product design, time and cost estimates, consulting, and a Work Breakdown Structure.

Now, we are looking for a skilled AI/ML specialist, preferably with some data science experience, who will contribute to establishing and continuously improving the AI/ML expertise in the CoE department and the company overall. The role is ideal for a professional capable of effectively researching, proposing, and implementing ML/AI solutions and strategies corresponding to clients' needs.

Requirements

Must have

• 4+ years of experience as an ML engineer, AI specialist or a similar role
• Hands-on experience with AI technologies, including generative AI, computer vision, LLMs and/or others
• Proficiency in ML frameworks (Tensorflow, scikit or alternatives)
• Familiarity with deploying AI/ML models to cloud providers such as AWS or Google
• Knowledge of data visualisation tools
• Strong programming skills in Python
• Would be a plus: experience in web development
• Would be a plus: background in data science, data analytics or data engineering
• Would be a plus: education in a relevant field (mathematics, computer science, statistics, software engineering, etc.)
• Strong communication and presentation skills
• Upper-Intermediate spoken and written English
• Business-oriented mindset and ability to understand real goals of the client
• Ability to document solutions and share the knowledge effectively
• Would be a plus: Skills in team leadership or mentorship
• Would be a plus: Public speaking experience

Responsibilities:

• Train predictive models based on existing/historical data
• Post-train or fine-tune existing models (e.g. from HuggingFace) to achieve the requested functionality
• Build a prototype of an AI-driven analytics tool during the discovery phase
• Validate client's idea and provide feedback on its possibility of implementation during pre-sales activities
• Prepare an estimation (time and cost) of the implementation of a particular project or feature
• Join and investigate an ongoing project with a purpose such as: consulting, development or super-vising a particular process.

Interview Stages

1. Call with Recruiter
2. Technical interview with Recruiter and Head of CoE

Join Burny Games — a Ukrainian company that creates mobile puzzle games. 

🔥 Our mission: to challenge players’ minds every day with innovative, high-quality gaming experiences.

What makes us proud?

• In just two years, we've launched two successful mobile games worldwide: Playdoku and Colorwood Sort. We have paused some projects to focus on making our games better and helping our team improve.
• Our games have been enjoyed by over 8 million players worldwide, and we keep attracting more players.
• We've created a culture where we make decisions based on data, which helps us grow every month.
• We believe in keeping things simple, focusing on creativity, and always searching for new and effective solutions.

What are you working on?

• Genres: Puzzle, Casual
• Platforms: Mobile, iOS, Android, Social

🚀 Top Titles:
🎨 Colorwood Sort – #1 sorting game
📝 Colorwood Words – made in 71 days
🧩 Colorwood Blocks – unique art & gameplay
Playdoku – our first top game

Team size and structure?

100+ employees

Our ideal candidate should have:

• 7+ years of machine learning experience with at least 2 years building recommender systems or reinforcement learning solutions.
• Strong theoretical and practical knowledge of one of contextual bandits, exploration-exploitation trade-offs, causal inference, and sequence modeling is mandatory.
• Proven ability to architect, develop, and deploy production-scale ML systems, preferably within gaming or digital products.
• Proficient in Python and ML frameworks like TensorFlow or PyTorch, with strong software engineering discipline.
• Experience with cloud infrastructure (preferably GCP), containerization (Docker/Kubernetes), and scalable data pipelines.
• Familiarity with online learning systems, real-time inference, and low-latency model deployment
• Excellent communication skills to clearly convey complex ML concepts to technical and non-technical stakeholders.
• Proactive, entrepreneurial mindset, comfortable owning and driving an ML track end-to-end.

Will Be a Plus

• Experience with Bayesian bandits or causal reinforcement learning.
• Familiarity with big data technologies.
• Prior exposure to game development.
• Contributions to open source or academic research in bandits or recommender systems.
• Understanding or experience with ML-Ops practices.

Key Responsibilities:

• Lead the design and development of fine-grained player segmentation and personalization systems [also known as microsegmentation].
• Architect and build the end-to-end ML pipelines owning this track from the ground up.
• Collaborate cross-functionally with product, engineering, and analytics teams to embed ML-driven personalization into live games, improving retention, ARPU, and engagement.
• Stay at the forefront of research in contextual bandits, reinforcement learning, causal ML, and recommender systems, translating innovations into practical solutions.

What we offer:

• 100% payment of vacations and sick leave [20 days vacation, 22 days sick leave], medical insurance.
• A team of the best professionals in the games industry.
• Flexible schedule [start of work from 8 to 11, 8 hours/day].
• L&D center with courses.
• Self-learning library, access to paid courses.
• We provide the necessary hardware for work.

The recruitment process:

CV review → Interview with Talent Acquisition Manager → Interview with Head of Analytics → Interview with CPO & CEO → Job offer.

If you share our goals and values and are eager to join a team of dedicated professionals, we invite you to take the next step.

Our client is a company that is one of the prominent providers of unique online slot games based in Spain. The team creates modern and exciting slot games, providing a unique gaming experience for millions of users.

What You'll Do:

• Build backend services primarily using Python, leveraging AI tools to generate approximately 50% of the codebase.
• Work closely with AI coding assistants (like OpenAI, Anthropic) to speed up development without losing code quality.
• Experiment with AI-assisted workflows and continuously improve how AI-generated code is integrated into production systems.
• Participate in code reviews to ensure that both human- and AI-written code meet standards for quality, security, and maintainability.
• Document your technical solutions and help promote best practices around AI development within the team.

What We Expect:

• At least 2 years of professional experience in backend development with Python.
• Hands-on experience working with AI tools and large language models (LLMs) in software development within the past year.
• Comfortable writing and reviewing AI-assisted code.

• Proficient with AI-first developer tools such as Cursor, GitHub Copilot.

   

Сompanу offer:

• Freedom for experiments and research that influence decision-making.
• Mentorship from experienced specialists, as well as collaboration in a creative and supportive team.
• Participation in projects where you can implement cutting-edge technologies and see their real impact.
• Access to modern tools and resources for learning and professional growth.

• Flexible schedule and the possibility to work remotely.

   

Join Our Team as an AI Engineer

We’re building AI-driven fintech tools for finance managers at medium-to-large companies. Seeking a hands-on AI Engineer to design, test, and deploy LLM-based agents and workflows.

Key Responsibilities

• build orchestration agents using LangChain, LangGraph, and LangSmith
• Develop elaborate prompt-testing frameworks and automated validation suites
• Writing prompts and optimizing them
• Integrate AI components into backend services (Python + SQL)
• Collaborate with product and engineering to refine AI-driven features

Qualifications

• ≥ 2 years backend development experience (Python)
• ≥ 1 year professional AI experience with the LangChain ecosystem
• Proficient with LangSmith, LangGraph, LangChain
• Experience building and testing LLM orchestration agents
• Strong SQL skills for data integration and analysis
• Excellent problem-solving and communication

Location
Remote (Europe preferred)

Join us in stealth mode to push the boundaries of AI-powered financial planning!

About Lucid

My colleague and I are starting a small fin-tech company and are currently in stealth mode, so not a lot of information can be divulged besides the fact it is a tool for finance managers within medium to large companies that helps them track and manage their expenses and revenue accordingly. We are looking for strong SWE to help us grow into Seed!

At airSlate, our journey began in Boston, USA, in 2008. What started as a single product with 3,000 customers has grown into an influential tech company with 900+  team members across six offices worldwide. In 2022, airSlate reached a total valuation of $1.25 billion and became a  'Unicorn 🦄'. But even as we scale, team members remain our most valuable asset. That's why we've built a company that excites people about their work.

We develop products that serve over 100 million users with no-code workflow automation, electronic signature, and document management solutions. The company's portfolio of award-winning products, signNow, pdfFiller, DocHub, WorkFlow, Instapage, and US Legal Forms, empower teams to transform how their organizations run digitally.
 

airSlate is seeking an Machine Learning Engineering Manager to contribute to the next chapter of our company's growth.

wAt airSlate, we’re focusing on high-impact AI initiatives across our core marketing engine and SaaS product lines — driving innovation in digital B2C marketing and customer-facing workplace automation. Our long-term strategy is to transform the Marketing Engine into a powerhouse of automation, using AI to reimagine not just isolated marketing tasks but the entire approach — shifting from incremental improvements to building an intelligent system that drives the future of SaaS marketing. You’ll be part of this transformation from the ground up, working closely with senior leadership — including the CEO — to shape company-wide strategy. This is a highly visible, strategic role where bold thinking is not just encouraged, but expected. You’ll have the space to explore ambitious ideas, experiment with cutting-edge technologies, and design solutions that challenge conventional thinking. We use AWS SageMaker to build and deploy traditional AI models, while also developing novel applications powered by large language models — tools that will help us automate smarter, communicate better, and unlock entirely new product capabilities.
 

We invite you to join us and be at the forefront of AI innovation!
 

What you'll be working on:

• Marketing Tech & AI/ML – applying AI/ML to marketing data (e.g., user lifetime value, campaign elasticity).
• Design, build, and optimize machine learning models for customer segmentation, personalization, predictive analytics, and ad targeting.
• Develop models to resolve data quality challenges, including gaps and inconsistencies.  
• Implement AI-driven automation for campaign optimization, A/B testing, and budget allocation.
• Analyze large-scale marketing data (customer interactions, ad impressions, click-through rates) to extract actionable insights.
• Collaborate with marketing teams to refine strategies based on ML-driven insights.
• ML & AI Expertise
• ML Pipelines – end-to-end ML workflow management.
• Model Development – classical ML (regression, classification, clustering) & deep learning (TensorFlow, PyTorch).
• Explainability – SHAP, LIME, feature importance analysis.
• MLOps – CI/CD for ML, model versioning, retraining, monitoring.
•  Software & Infrastructure
• Engineering Best Practices – clean, maintainable ML code.
• CI/CD & Deployment – Docker, Kubernetes, cloud ML services (AWS SageMaker).
• Scalability & Performance – optimizing ML workflows.
• API Integration – deploying ML models via APIs.
•  Decision-Making & Execution
• Trade-Off Analysis – balancing model complexity, business impact, and scalability.
• Technical Feasibility & Risks – assessing ML initiatives.

• Project Planning – structuring AI projects into clear milestones.

   

What we expect from you:

• Previous Technical Leadership experience – Own execution, guide engineers, and ensure scalable solutions.
• Decision-Making – Assess feasibility, balance trade-offs, and align technical direction.
• Work Structuring – Break down projects into clear milestones and deliverables.
• Mentorship – Elevate team skills through best practices and guidance.
• Process Optimization – Streamline workflows, improve collaboration, and enhance performance.

Technical Areas:

• ML Techniques – Supervised, Unsupervised, Semi-Supervised, Reinforcement Learning.
• LLMs – OpenAI, Bard, Prompt Engineering, Fine-Tuning, Prompt Tuning.
• Programming – Python, ML libraries (TensorFlow, PyTorch).
• MLOps – Experience delivering ML models to production.
   

Nice to have:

• Hands-on experience with applications of AI for Digital Marketing purposes.

• Bachelor's degree or higher in Computer Science, Engineering, Mathematics, Statistics, or a related field. Advanced degree (e.g., Master's or Ph.D.) preferred.

   

If you're seeking a dynamic environment that encourages creativity, collaboration, and continuous improvement, you've come to the right place. Join us as we transform the way organizations operate and leave a positive impact on millions of users worldwide🚀.
 

What we offer:

— Compensation and incentives — At airSlate, everyone is an owner. Not only do we offer competitive salaries, we award stock options to all team members. You’ll have skin in the game.

— Igniting your career — airSlate is a place to grow your career. You will have stellar teammates who are collaborative and curious. Our senior leadership team is accessible to all team members, and open two-way communication is always encouraged.

— Investing in your wellness — We invest in your whole well-being.  In addition to comprehensive medical, dental, and vision offerings, airSlate offers 401K employer-matching, life & disability, and fitness and wellness reimbursements.  We encourage you to re-energize with fun team events and generous time off policies.
 

We are proud of: 

— airSlate Care for Ukraine — With a significant number of our team members in Ukraine, our foremost concern was ensuring their safety by providing both financial and logistical assistance to them and their families. What started as an immediate response has evolved into a cornerstone of the airSlate charity program. We match donations contributed by our team members, offer humanitarian aid to those affected by the conflict, distribute food packages to seniors, and support animal shelters. Our commitment remains steadfast in working towards restoring peace to Ukraine.

— airSlate Junior Club — Our sense of family extends beyond our team. All team members with children gain access to the airSlate Junior Club, featuring engaging events such as cooking classes, creative activities, and educational online games.

Develux is an IT software development company operating since 2014, focused on the US market with 250+ professionals. One of our core business units operates in the EdTech domain, offering academic writing services to students worldwide. We’re committed to expanding the platform’s functionality and content quality, improving user experience and business performance.
 
We’re seeking a AI Content Creator to produce high-quality, SEO-optimized content. You will work closely with SEO specialists and ORM specialists to ensure content is accurate, valuable, and consistent with our tone of voice. The ideal candidate is creative, flexible, research-driven!
 
Responsibilities

• Generate articles using AI tools based on provided topics and briefs;
• Proofread and edit AI-generated content for clarity, tone, and grammar;
• Optimize texts using basic SEO principles;
• Adjust content according to internal guidelines;
• Select and add relevant images to articles;
• Follow deadlines and task requirements precisely.

Work Experience:

• 1.5+ years of experience in copywriting, content creation, or related fields
• 1+ year of experience working with AI writing tools
• Previous work with SEO-optimized texts is highly desirable

Required Skills & Qualifications

• Strong skills of working with AI tools for generating text content;
• Understanding of basic SEO for content;
• Proficiency in content editing;
• B2–C1 level of English (writing-focused).

Additional Skills:

• Content literacy – ability to understand, structure, and improve written content
• SEO awareness – basic understanding of how search engines evaluate and rank content
• Editing skills – ability to spot inconsistencies, repetitions, and awkward phrasing
• Time management – capacity to prioritize tasks and deliver results on time
• Technical adaptability – openness to using AI tools and learning new digital platforms
• Analytical thinking – can evaluate content quality based on guidelines and make appropriate improvements
• Initiative – readiness to ask questions, clarify requirements, and improve drafts proactively

 Questions and Answers:
- Does the job come with a probation period, and if so, how long does it last?Yes, there is a three-month probation period.
- What is the expected work schedule?
Full-time, flexible, please start no later than 11:00 (on average 8 hours per day). The office in Kyiv is open from 9:00 to 20:00. You can work remotely and also you can choose hybrid mode where you can combine working on-site and remotely.
- How many vacation and sick days are provided?
Annual paid vacation – 21 working days; Paid confirmed sick leave; 6 unconfirmed sick days/days off a year.

What social package and benefits are offered?
- English courses (up to 80 USD/month after successful completion of the probation period)
- Compensation for the cost of a subscription sports center (up to 80 USD/month after successful completion of the probation period)
- Medical insurance (50% after successful completion of the probation period) or $200 a year for health care
- Corporate events

Hiring process:
- HR-call with Recruiter
- Test task
- Interview with the Hiring manager (1 hour)
- Reference check
- Proposal for cooperation with Develux

Please note that feedback with the results of the CV review will be provided only in the event of a decision to further consider your candidacy.
Otherwise, your data will be retained in the company's CV database, and we will gladly contact you if a suitable vacancy becomes available. The consideration period is 10 working days.

EXITEK team is looking for a Machine Learning Engineer. We're expanding our development team and looking for a passionate, experienced, self-organised candidate to work on our BeautyUp app (https://apps.apple.com/us/app/id1671843069).

Responsibilities:

• Design, develop, and optimize state-of-the-art computer vision pipelines, algorithms and models;
• Conceive and experiment with innovative features and functionalities in the realm of photo editing and enhancement;
• Collaborate with cross-functional teams to integrate machine learning models into production systems and pipelines.

Requirements:

• Proficiency in Python and PyTorch;
• Experience in Computer Vision (GANs, SD, etc.) is a must;
• Deep understanding of the current state of the art in machine learning and computer vision;
• Robust communication skills, complemented by the ability to thrive in a collaborative team environment.

N-iX is looking for a Senior Machine Learning Engineer to join a high-impact initiative in the life sciences domain. You will be responsible for designing, developing, and deploying machine learning models at scale within the Palantir Foundry ecosystem, enabling data-driven decision-making across R&D, commercial, and real-world evidence use cases.

You will collaborate closely with data scientists, MLOps engineers, and data engineers to build robust, production-grade ML workflows—from data preparation and feature engineering to model training, evaluation, deployment, and monitoring.

Key Responsibilities

• Design and implement scalable ML models for use in predictive analytics, forecasting, and classification tasks within the pharmaceutical domain.
• Work with Palantir Foundry to build end-to-end ML pipelines, including custom Python code, Foundry Functions, and Ontology-aware feature generation.
• Collaborate with Data Engineers to ensure high-quality, model-ready data flows from ingestion to inference.
• Operationalize models using industry best practices for versioning, reproducibility, and monitoring (e.g., via MLflow or native Foundry tools).
• Contribute to MLOps automation, including CI/CD for ML, drift detection, retraining pipelines, and evaluation dashboards.
• Partner with business stakeholders and domain experts to translate scientific or commercial hypotheses into model-based solutions.
• Apply rigorous experimentation and statistical validation to ensure models are explainable, generalizable, and regulatory-compliant.
• Stay informed on the latest developments in ML/AI and proactively introduce innovative techniques and frameworks.

Must-Have Skills & Experience

• 5+ years of experience in machine learning or applied data science, ideally in a production or enterprise setting.
• Strong programming skills in Python, with deep experience in machine learning libraries such as scikit-learn, XGBoost, TensorFlow, or PyTorch.
• Experience designing and deploying ML workflows at scale, preferably with experience in Foundry, KubeFlow, SageMaker, or similar platforms.
• Familiarity with feature engineering, data imputation, sampling strategies, and evaluation techniques 
• Hands-on experience with model deployment and monitoring, including logging metrics, detecting drift, and managing model lifecycles.
• Comfort working with structured and unstructured data: tabular, time series, text, etc.
• Solid understanding of data security, privacy, and compliance, particularly in pharma or regulated domains.
• Strong communication and stakeholder engagement skills; capable of explaining complex models in simple terms.

• Upper-Intermediate or Advanced level of English is required.

   

We offer*:

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

*not applicable for freelancers

🌟 About EnlightFlow.ai

EnlightFlow is a fast-growing AI consultancy and product studio on a mission to automate the world’s workflows through bleeding-edge AI. We build agentic systems, intelligent automations, and LLM-powered products for startups and global enterprises. If you’re passionate about building at the frontier of what AI can do—and want to see your work drive real business outcomes—this is your home.

🧠 What You’ll Do

As an AI Engineer at EnlightFlow.ai, you’ll be responsible for designing, building, and deploying scalable AI systems that automate decision-making, enhance productivity, and power next-gen products for our clients.

Your role will involve:

• Fine-tuning and serving LLMs (e.g., OpenAI, Mistral, Claude, LLaMA) for client-specific use cases such as document processing, summarization, and structured data extraction.
• Architecting Retrieval-Augmented Generation (RAG) systems and knowledge bases using tools like Pinecone, Chroma, LangChain, and LangGraph.
• Developing multi-agent workflows for use cases like customer support, internal knowledge search, lead qualification, marketing automation, and more.
• Building and optimizing ML pipelines (including computer vision and NLP) to solve unique problems across industries like media, VFX, legal, and SaaS.
• Integrating AI solutions into real-world products using REST APIs, Python microservices, and scalable cloud infrastructure (AWS/GCP/CoreWeave).

🔧 Tech Stack You’ll Use

• LLMs: GPT-4, Claude, Gemini, LLaMA, Mistral, custom LoRA models
• Frameworks: LangChain, LangGraph, Hugging Face, PyTorch, TensorFlow
• Infra: Docker, Kubernetes, MLflow, GCP, CoreWeave, AWS
• Vector DBs: Pinecone, Chroma, Weaviate
• Backend: FastAPI, Flask, Kafka, RabbitMQ