Jobs

🌎 Akvelon is a known USA company, with offices in places like Seattle, Mexico, Ukraine, Poland, and Serbia. Our company is an official vendor of Microsoft and Google. Our clients also include Amazon, Evernote, Intel, HP, Reddit, Pinterest, AT&T, T-Mobile, Starbucks, and LinkedIn. To work with Akvelon means to be connected with the best and brightest engineering teams from around the globe and working with an actual technology stack building Enterprise, CRM, LOB, Cloud, AI and Machine Learning, Cross-Platform, Mobile, and other types of applications customized to the client’s needs and processes.

We are looking for a Senior Machine Learning Scientist / Engineer with a strong research and engineering background in Natural Language Processing and Large Language Models (LLMs) to lead the development of advanced reasoning and summarization systems. You will drive cutting-edge innovation in multi-document understanding, reasoning LLMs, and model alignment techniques, working on greenfield challenges with meaningful, real-world applications.

Requirements:

• Substantial research experience in Reasoning LLMs, Chain of thought, Post training LLMs, RLHF, LLM Alignment, NLP areas
• Hands-on experience with training or fine‑tuning open‑source reasoning LLMs
• Deep expertise in NLP and LLM architectures
• Proven ability to design and run independent research and experimentation
• Strong Python and modern ML tooling skills
• Excellent written and verbal communication
• Ability to work autonomously

Nice to have:

• Applied research experience in Financial (Investing) domain
• PhD in Machine Learning, NLP, Computer Science, or a related field
• Applied research experience in industry
• Contributions to notable open‑source LLM projects (datasets, libraries)
• Publications and/or original research in the area
• GCP experience is strongly preferred

Overlap: up to 2PM EST (8PM CET)

Working conditions and benefits:

• Paid vacation, sick leave (without sickness list)
• Official state holidays — 11 days considered public holidays
• Professional growth while attending challenging projects and the possibility to switch your role, master new technologies and skills with company support
• Flexible working schedule: 8 hours per day, 40 hours per week
• Personal Career Development Plan (CDP)
• Employee support program (Discount, Care, Health, Legal compensation)
• Paid external training, conferences, and professional certification that meets the company’s business goals
• Internal workshops & seminars
• Corporate library (Paper/E-books) and internal English classes

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.

We are currently looking for a Machine Learning Engineer to join a technology company specializing in navigation hardware for aerial vehicles. This is a fully remote position.

The company fosters a fast-paced startup culture with direct communication, a flat hierarchy, and minimal bureaucracy. You will work with people who value the Growth Mindset, embrace challenges, aren’t afraid to learn from mistakes, and focus on finding solutions rather than pointing fingers.

The company actively integrates automation and AI technologies into all company processes to be 10x more efficient, reduce routines, and free up time for creative jobs.

Key responsibilities:

• Perform data analysis to evaluate data quality, identify trends, and ensure suitability for machine learning experiments.
• Prepare and preprocess datasets, ensuring best practices for model generalization and robustness in ML models.
• Prototype and optimize data processing pipelines, collaborating with the DevOps team for seamless deployment.
• Design, train, and evaluate ML models in collaboration with senior engineers.
• Analyze experiment results, identify potential pitfalls, and propose improvements for model performance.

• Proactively communicate key findings, intermediate analyses, and experiment results to stakeholders and partners, translating insights into actionable recommendations.

   

Required skills:

• Upper-intermediate, preferably Advanced English.
• Master’s or PhD degree in Computer Science, Machine Learning, Robotics, or a related field.
• Commercial experience in Machine Learning, Robotics, or a related field.
• Solid command of Machine Learning, Statistics, and Signal Analysis.
• Hands-on experience with Python and ML frameworks such as TensorFlow or PyTorch, SciPy, and Scikit-learn.
• Strong understanding of data preprocessing, feature engineering, and model evaluation.
• Familiarity with supervised and unsupervised learning techniques applied to sensor or image data.

• Basic understanding of software engineering principles, including version control (Git) and containerization (Docker).

   

Preferred qualifications:

• Command of at least one other language for data analysis, such as R and Scala.
• Familiarity with the Spark data analysis framework.
• Exposure to robotics, reinforcement learning, SLAM (Simultaneous Localization and Mapping), or sensor fusion.
• Experience working with real-time sensor data (e.g., LiDAR, camera, IMU).

• Understanding of cloud-based ML model deployment and optimization techniques.

   

Note! When possible, add a link to your GitHub and any code examples with your application.

Ми шукаємо на проект AI Developer (middle level, 3-5 years).

Основні вимоги:

• 3+ Years of experience developing RL agent solutions
• Or 2+ Years of experience developing solutions with LLMs & RAG.
• 3+ Years of Software Development experience with proficiency in:
• Python:
• Numpy
• Torch or other gradient tracking tensor math library

Другорядні вимоги:

• 2+ Years of IoT and Timeseries data manipulation.
• 2+ Years of AWS cloud and/or Docker.
• 2+ Years using MLOps.
• Experience using AI for industrial process control.

• Working Knowledge of Test-Driven Development.

   

Підсумок по необхідним технологіям: Reinforcement learning (RL), LLMs & RAG, Python, Postgres, Numpy, PyTorch, IoT and Timeseries data manipulation, AWS, Docker, MLOps.

Важливо!: Excellent communication in English. (B1, Intermediate англійська не ок). Strong initiative, problem-solving mindset. Not just ticket takers – expected to be proactive and collaborative.
 

Обов’язки:

• Developing AI systems and tools for use in the client’s software offerings.
• Researching and designing new solutions to AI/ML/DS problems as needed.
• Educating and knowledge sharing AI research with a cross-functional team consisting of software development, engineering, and business domain experts.
• Learning Domain knowledge as necessary and working with SMEs to develop high-quality problem definitions.
• Owning the AI development lifecycle, inclusive of preparing data for use in AI systems, exploratory data analysis, model development, model deployment and implementation, monitoring, and maintenance.
• Collaboration with a globally distributed team that is remote and spread across various time zones.

Про клієнта та проект: Product company from USA. They offer AI-driven digital solutions for water treatment. Tech stack: Python (100%), Postgres, AWS, RL, LLMs, RAG, IoT, Time Series. Ongoing project with long-term expansion in Europe. 
 

Залученість: Full-time, remote, contract cooperation. Overlap with 10–11 AM EST scrum required (equals 5–6 PM Ukraine time). Flexibility is expected for occasional meetings with Singapore and India.

Дата старту: ASAP. 

About the Role:
We are seeking an experienced NLP & AI Software Engineer to join our innovative team working on cutting-edge AI-powered solutions for document analysis, semantic search, and knowledge graph construction. You will contribute to the development of an advanced platform that integrates NLP, semantic relation extraction, embeddings, vector databases, knowledge graphs, and large language models (LLMs).

Key Responsibilities:
• Develop and implement NLP pipelines for document ingestion, text chunking, and semantic extraction.
• Use libraries such as spaCy, LangChain, Unstructured, and Hugging Face Transformers to analyze documents and extract entities, relations, and embeddings.
• Build and optimize a semantic relation extraction mechanism using rule-based and ML-driven approaches.
• Integrate embeddings (SentenceTransformers) and vector databases (Qdrant).
• Construct and manage a scalable Knowledge Graph (Dgraph) to represent semantic relationships and facilitate explainability.
• Design and implement highly scalable, multi-threaded Python applications.
• Integrate message streaming services (Kafka) for real-time processing and communication between system components.
• Collaborate closely with the product team to align technical solutions with business requirements.
• Maintain a high standard of code quality, testing, documentation, and continuous integration/deployment.

Required Skills and Qualifications:
• 3+ years of experience in NLP, machine learning, and 6+ years of software engineering.
• Strong proficiency in Python (expert-level).
• Deep understanding of multi-threading, parallel processing, and performance optimization in Python.
• Hands-on experience with NLP libraries and frameworks: spaCy, Hugging Face Transformers, LangChain.
• Experience with semantic search techniques, embeddings (SentenceTransformers), and vector databases (Qdrant, Pinecone, Weaviate).
• Familiarity with graph databases (Dgraph, Neo4j) and knowledge graph concepts.
• Understanding of Large Language Models (GPT, Claude) and their integration into production environments.
• Experience with Kafka or similar message streaming platforms.
• Strong algorithmic skills, logical thinking, quick learning abilities, and creativity in generating new ideas.
• Excellent problem-solving skills, attention to detail, and ability to work independently.
• Hardworking!!!, proactive attitude, and ability to thrive in a fast-paced environment.
• Strong communication skills and good command of English.

Preferred Qualifications:
• Experience deploying AI models and services in cloud environments (AWS, GCP, Azure).
• Familiarity with Docker, Kubernetes, and modern CI/CD practices.
• Previous experience with transportation, logistics, legal tech, hr, or compliance domains is a plus.

What We Offer:
• Opportunity to work on innovative, real-world AI applications.
• Flexible working conditions, including remote work possibilities.

Join us in building next-generation AI-driven knowledge solutions! 

We are looking for a Blockchain Developer with experience in TON and smart contract development. In this role, you will join a strategic industry initiative aimed at integrating enterprise-grade oracle infrastructure into a decentralized ecosystem. You’ll work at the intersection of blockchain protocols and financial technology, helping enhance the network’s interoperability, reliability, and institutional readiness. 

As part of a broader collaboration, you’ll contribute to shaping foundational frameworks for how decentralized applications coordinate and interact. This includes defining common standards, supporting long-term infrastructure governance, and ensuring the network evolves in a way that balances openness with security and performance. 

The initiative is rooted in a shared commitment to open infrastructure as the foundation for the future of finance — prioritizing privacy, security, and interoperability to unlock new opportunities for both institutions and developers.

Responsibilities

• Lead the integration of TON into the CCIP Directory, ensuring seamless compatibility and functionality within the Chainlink ecosystem. 
• Design and implement blockchain solutions using EVM-compatible smart contracts and the Canton protocol. 
• Develop and maintain smart contracts using DAML or similar languages, ensuring code quality, security, and efficiency. 
• Collaborate with ecosystem partners to define and contribute to shared technical standards and governance models. 
• Support the development of a scalable, secure, and institutional-grade infrastructure for decentralized applications. 
• Ensure compliance with regulatory requirements and financial industry standards during solution design and implementation.
• Identify and mitigate potential security risks related to blockchain integrations. 
• Propose innovative approaches for integrating Chainlink services (e.g., CCIP) with Canton and TON networks. 
• Troubleshoot and resolve complex technical issues related to smart contracts and system interoperability.

Requirements

• Blockchain Expertise: Deep understanding of blockchain technology.
• Experience with both EVM and Canton protocols is essential. Chainlink
• Expertise: Deep understanding of the Chainlink protocol, especially CCIP.
• Previous work on integrating CCIP or auditing CCIP integrations is highly preferable. 
• Canton Smart Contract Development: Proficiency in DAML or a similar language. 
• Security: Deep understanding of blockchain security best practices to safeguard the integration and protect against potential vulnerabilities.
• Domain Knowledge Financial Services: Familiarity with the financial services industry, especially capital markets and trade finance, where Canton operates. 
• Regulatory Compliance: Awareness of relevant regulations and compliance requirements in the financial sector to ensure the integration adheres to industry standards.

We offer:

• Competitive compensation
• Social package (24 working days of annual leave, 5 paid sick days)
• Flexible working hours
• Challenging projects in diverse business domains and a variety of tech stacks
• Personal development and professional growth opportunities
• Work with talented, ambitious and family-feel teams
• Educational possibilities: corporate courses, knowledge hubs, and in-house English classes
• Compensation for your professional certification & support for your learning activities
• Opportunity to choose IT equipment you like
• Corporate social responsibility

🌎 Akvelon is a known USA company, with offices in places like Seattle, Mexico, Ukraine, Poland, and Serbia. Our company is an official vendor of Microsoft and Google. Our clients also include Amazon, Evernote, Intel, HP, Reddit, Pinterest, AT&T, T-Mobile, Starbucks, and LinkedIn. To work with Akvelon means to be connected with the best and brightest engineering teams from around the globe and working with an actual technology stack building Enterprise, CRM, LOB, Cloud, AI and Machine Learning, Cross-Platform, Mobile, and other types of applications customized to the client’s needs and processes.

We are looking for a Senior Machine Learning Scientist / Engineer with a strong research and engineering background in Natural Language Processing and Large Language Models (LLMs) to lead the development of advanced reasoning and summarization systems. You will drive cutting-edge innovation in multi-document understanding, reasoning LLMs, and model alignment techniques, working on greenfield challenges with meaningful, real-world applications.

Requirements:

• Substantial research experience in Reasoning LLMs, Chain of thought, Post training LLMs, RLHF, LLM Alignment, NLP areas
• Hands-on experience with training or fine‑tuning open‑source reasoning LLMs
• Deep expertise in NLP and LLM architectures
• Proven ability to design and run independent research and experimentation
• Strong Python and modern ML tooling skills
• Excellent written and verbal communication
• Ability to work autonomously

Nice to have:

• Applied research experience in Financial (Investing) domain
• PhD in Machine Learning, NLP, Computer Science, or a related field
• Applied research experience in industry
• Contributions to notable open‑source LLM projects (datasets, libraries)
• Publications and/or original research in the area
• GCP experience is strongly preferred

Overlap: up to 2PM EST (8PM CET)

Working conditions and benefits:

• Paid vacation, sick leave (without sickness list)
• Official state holidays — 11 days considered public holidays
• Professional growth while attending challenging projects and the possibility to switch your role, master new technologies and skills with company support
• Flexible working schedule: 8 hours per day, 40 hours per week
• Personal Career Development Plan (CDP)
• Employee support program (Discount, Care, Health, Legal compensation)
• Paid external training, conferences, and professional certification that meets the company’s business goals
• Internal workshops & seminars
• Corporate library (Paper/E-books) and internal English classes

About you:

We are hiring an experienced Machine Learning Engineer to join our team. This specialist will be responsible for refactoring our ML codebase, integrating new infrastructure, and developing reusable modules. Working closely with our data science and engineering teams, the Machine Learning Engineer will play a key role in enhancing the maintainability, scalability, and performance of our ML systems.

About project:

Join our client's innovative team, working at the forefront of agricultural technology. They are dedicated to developing cutting-edge solutions that combine IoT and AI to optimize processes in smart agriculture. The core objective of this project is to monitor and improve crucial natural processes, thereby enhancing efficiency and sustainability in the agricultural sector.

Our client's ML infrastructure processes data from IoT sensors placed in beehives to monitor temperature, humidity, and other environmental factors. This data is used to create predictive models focused on colony health, queen problems, and pollination efficiency. By leveraging real-time data and advanced technologies, the platform helps to drive better outcomes for food production and biodiversity, making a tangible impact on global food systems. The team is looking for someone who can help improve the underlying architecture of these systems while maintaining their functionality and accuracy.

Your area of responsibility:

• Restructuring and optimizing existing Machine Learning code to enhance its readability, ease of maintenance, and performance, all while ensuring core functionality is preserved.
• Integrating ML models and their associated pipelines with recently developed infrastructure elements to guarantee smooth operation and compatibility.
• Designing and implementing reusable Machine Learning modules intended for common tasks such as preparing data, engineering features, and training or evaluating models.
• Developing and deploying both unit and integration tests to uphold code quality standards and confirm reliability.
• Identifying and putting into practice improvements aimed at boosting model performance, increasing efficiency, and supporting scalability.
• Collaborating effectively with colleagues who are not located in the same place, offering guidance and participating in code review processes to receive feedback.

Skills and requirements:

• A minimum of 5 years' professional experience in software engineering, with a strong focus on Machine Learning systems.
• Demonstrated high proficiency in Python and essential ML libraries (such as TensorFlow, PyTorch, and scikit-learn).
• A proven history of successfully refactoring complex existing codebases without compromising original functionality.
• Experience in the design and deployment of software components and libraries intended for reuse.
• Familiarity with standard ML pipelines, including processes for handling and deploying data.
• Knowledge of fundamental software engineering practices, such as managing versions, testing code, and creating documentation.
• Experience working with systems that are distributed and software stacks that are cloud-based.
• Strong capabilities in solving problems, with a focus on creating solutions that are practical and easy to maintain over time.

Will be a plus:

• Practical experience with MLOps tools and common practices in that field.
• Understanding and experience with technologies used for containerization and orchestration (like Docker or Airflow).
• Familiarity with continuous integration/continuous deployment (CI/CD) pipelines specifically for ML systems.
• Experience using tools designed for data versioning.
• Exposure to frameworks used for processing data on a large scale.
• Experience working effectively with teams that are geographically dispersed and in roles such as consulting or contract work.

We offer:

- Висококласні робочі умови: спільнота першокласних інженерів, близько 90% нашої команди це Middle та Senior; цікаві та довгострокові проєкти у різних сферах; можливість змінити проєкт в разі необхідності;

- Конкурентна ринкова компенсація в валюті (не в гривневому еквіваленті), яка виплачується без затримок;

- Власний план розвитку та регулярні перегляди компенсації;

- Оплачувані відпустки (20 днів) та лікарняні дні (5 днів);

- Всі державні свята за Українським законодавством є вихідними;

- Можливість працювати з будь-якою точки світу — ми знайдемо юридичний варіант, допоможемо легалізуватися або проконсультуємо з цього питання.

- Бухгалтерський супровід;

- Юридична підтримка в межах України;

- Повноцінна HR-підтримка та турбота.

About you:

We are hiring an experienced Machine Learning Engineer to join our team. This specialist will be responsible for refactoring our ML codebase, integrating new infrastructure, and developing reusable modules. Working closely with our data science and engineering teams, the Machine Learning Engineer will play a key role in enhancing the maintainability, scalability, and performance of our ML systems.

About project:

Join our client's innovative team, working at the forefront of agricultural technology. They are dedicated to developing cutting-edge solutions that combine IoT and AI to optimize processes in smart agriculture. The core objective of this project is to monitor and improve crucial natural processes, thereby enhancing efficiency and sustainability in the agricultural sector.

Our client's ML infrastructure processes data from IoT sensors placed in beehives to monitor temperature, humidity, and other environmental factors. This data is used to create predictive models focused on colony health, queen problems, and pollination efficiency. By leveraging real-time data and advanced technologies, the platform helps to drive better outcomes for food production and biodiversity, making a tangible impact on global food systems. The team is looking for someone who can help improve the underlying architecture of these systems while maintaining their functionality and accuracy.

Your area of responsibility:

• Restructuring and optimizing existing Machine Learning code to enhance its readability, ease of maintenance, and performance, all while ensuring core functionality is preserved.
• Integrating ML models and their associated pipelines with recently developed infrastructure elements to guarantee smooth operation and compatibility.
• Designing and implementing reusable Machine Learning modules intended for common tasks such as preparing data, engineering features, and training or evaluating models.
• Developing and deploying both unit and integration tests to uphold code quality standards and confirm reliability.
• Identifying and putting into practice improvements aimed at boosting model performance, increasing efficiency, and supporting scalability.
• Collaborating effectively with colleagues who are not located in the same place, offering guidance and participating in code review processes to receive feedback.

Skills and requirements:

• A minimum of 5 years' professional experience in software engineering, with a strong focus on Machine Learning systems.
• Demonstrated high proficiency in Python and essential ML libraries (such as TensorFlow, PyTorch, and scikit-learn).
• A proven history of successfully refactoring complex existing codebases without compromising original functionality.
• Experience in the design and deployment of software components and libraries intended for reuse.
• Familiarity with standard ML pipelines, including processes for handling and deploying data.
• Knowledge of fundamental software engineering practices, such as managing versions, testing code, and creating documentation.
• Experience working with systems that are distributed and software stacks that are cloud-based.
• Strong capabilities in solving problems, with a focus on creating solutions that are practical and easy to maintain over time.

Will be a plus:

• Practical experience with MLOps tools and common practices in that field.
• Understanding and experience with technologies used for containerization and orchestration (like Docker or Airflow).
• Familiarity with continuous integration/continuous deployment (CI/CD) pipelines specifically for ML systems.
• Experience using tools designed for data versioning.
• Exposure to frameworks used for processing data on a large scale.
• Experience working effectively with teams that are geographically dispersed and in roles such as consulting or contract work.

We offer:

- Висококласні робочі умови: спільнота першокласних інженерів, близько 90% нашої команди це Middle та Senior; цікаві та довгострокові проєкти у різних сферах; можливість змінити проєкт в разі необхідності;

- Конкурентна ринкова компенсація в валюті (не в гривневому еквіваленті), яка виплачується без затримок;

- Власний план розвитку та регулярні перегляди компенсації;

- Оплачувані відпустки (20 днів) та лікарняні дні (5 днів);

- Всі державні свята за Українським законодавством є вихідними;

- Можливість працювати з будь-якою точки світу — ми знайдемо юридичний варіант, допоможемо легалізуватися або проконсультуємо з цього питання.

- Бухгалтерський супровід;

- Юридична підтримка в межах України;

- Повноцінна HR-підтримка та турбота.

Provectus helps companies adopt ML/AI to transform the ways they operate, compete, and drive value. The focus of the company is on building ML Infrastructure to drive end-to-end AI transformations, assisting businesses in adopting the right AI use cases, and scaling their AI initiatives organization-wide in such industries as Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, Manufacturing, and Internet businesses.

We are seeking a highly skilled Machine Learning (ML) Tech Lead with a strong background in Large Language Models (LLMs) and AWS Cloud services. The ideal candidate will oversee the development and deployment of cutting-edge AI solutions while managing a team of 5-10 engineers. This leadership role demands hands-on technical expertise, strategic planning, and team management capabilities to deliver innovative products at scale.

Responsibilities:

• Leadership & Management
• Machine Learning & LLM Expertise
• AWS Cloud Expertise
• Technical Execution
• Team Development & Communication

Qualifications:

• Proven experience with LLMs and NLP frameworks (e.g., Hugging Face, OpenAI, or Anthropic models);
• Strong expertise in AWS Cloud Services;
• Strong experience in ML/AI, including at least 2 years in a leadership role;
• Hands-on experience with Python, TensorFlow/PyTorch, and model optimization;
• Familiarity with MLOps tools and best practices;
• Excellent problem-solving and decision-making abilities;
• Strong communication skills and the ability to lead cross-functional teams;
• Passion for mentoring and developing engineers.

About Everstake:

Everstake is the largest decentralized staking provider in Ukraine and one of the global leaders in Web3 infrastructure. We support over 85 Proof-of-Stake networks and help secure more than $6.5 billion in digital assets. Our mission is to help shape the future of decentralized finance by making blockchain infrastructure accessible, reliable, and scalable.

Role Overview:

As a Blockchain Manager at Everstake, you will serve as the vital bridge between our internal teams and external blockchain ecosystems. You'll monitor protocol updates, communicate changes, and keep the company aligned on technical, governance, and performance developments across dozens of networks.

Responsibilities:

• Monitor blockchain network performance, upgrades, and security updates to stay informed about critical changes.
• Report key network metrics, trends, and updates to internal teams on a regular basis.
• Inform the DevOps team about protocol changes that may impact operations and help ensure a smooth transition.
• Track governance decisions, technical advancements, and industry trends to anticipate risks and opportunities.
• Research and analyze market developments, competitor activities, and grant programs relevant to the ecosystem.
• Communicate with blockchain project teams to stay updated on changes and coordinate necessary actions.
• Share key network updates, ecosystem developments, and insights on social media.
• Engage with the community by responding to relevant discussions and inquiries.

The Essentials:

• Fluent English (C1+), with excellent verbal and written communication skills.
• 2+ years of experience in blockchain ecosystems, staking, or protocol research.
• Proven ability to manage large communities and make them successful
• Ability to express complex technical information clearly and concisely
• Highly empathetic and professional even under the pressure
• Deep understanding of and genuine excitement about the crypto community would be a plus

The Perks:

• Competitive salary and bonuses
• Health and wellness benefits package: medical assistance, gym membership reimbursement, free mental health assistance
• Flexible working hours and an opportunity to work remotely
• Interesting, responsible, and challenging job in the crypto market
• Crypto investment opportunity and advisory assistance
• Free English courses with daily practice
• Professional development assistance
• Paid vacation, holidays, and sick leaves
• Relocation package if desired
• Adequate management with minimal bureaucracy
• Dynamic agile working environment and a team of good professionals
   

Interested?

If you're excited to help shape the future of decentralized infrastructure and work with some of the most critical networks in the space — we’d love to meet you. Apply now!

#Al/ML Engineer specialist  #remote #4-5750 $ with experience in the field of artificial intelligence and machine learning, who will be able to improve our digital solutions, strengthen the automation of loan issuance processes, as well as improve risk analysis and client profile through modern AI/LLM technologies.

Requirements:

2+ years of experience in the field of AI/ML, preferably in the financial sector or lending;
Deep knowledge of Python, ML frameworks (scikit-learn, PyTorch, TensorFlow);
Experience working with LLM (GPT, Claude, Llama, etc.): creating prompts, fine-tuning, RAG;
Understanding the principles of credit scoring, risk analytics;
Experience building automated data pipelines, working with APIs, databases;
English proficiency at a level not lower than B1+.
Working conditions:

Work in an innovative financial company that plans to automate its processes using artificial intelligence and is looking for a specialist with experience in implementing such solutions from scratch, using existing infrastructure (DB, CRM).
Stable salary and career growth opportunities;
Space for implementing AI projects with real impact on business;
Support from the technical and analytical team;
Participation in building a new generation of financial solutions.
Responsibilities:

Analysis and optimization of online lending processes through ML/AI algorithms;
Implementation of LLM models (GPT, Claude, Gemini, LLaMA) to automate application processing, verification, and customer support;
Development of credit risk forecasting models, scoring, and behavioral analytics;
Building and supporting continuous AI analytics (KPI, ROI, model effectiveness);
Implementation and configuration of AI assistants (chatbots, analytical agents, voice interfaces);
Testing and improving the accuracy of models: fine-tuning, vector bases, RAG approaches;
Creating internal prompt libraries, integrating models into the company's web platform;
Collaboration with IT and analytical teams to support continuous work 24/7.
💼 It will be a plus:

Skills in working with vector bases (Pinecone, Weaviate),
LangChain, LlamaIndex;
Experience with no-code AI platforms (Chatbase, n8n, Flowise);
Basic knowledge of SQL, JSON, Git.

The Role

We’re looking for a Senior ML Engineer to lead the design, deployment, and optimization of large-scale models powering intelligent agents. Your role spans model architecture, operational deployment, and production monitoring.

Key Responsibilities

• Design, fine-tune, and evaluate large language models and neural networks for modular agent behavior
• Build robust ML pipelines (data ingestion, feature engineering, model training, serving, monitoring)  
• Develop containerized model serving infrastructure (Docker, Kubernetes), integrating with backend APIs
• Implement evaluation frameworks, A/B testing, and performance metrics to quantify agent effectiveness
• Ensure reproducibility, traceability, and compliance across ML lifecycle
• Collaborate with backend engineers to define inference service SLAs and efficient real-time ML delivery
• Mentor junior ML teammates and establish team-level best practices

Requirements

• 5+ years as an ML Engineer or applied ML researcher with production model deployment experience
• Strong Python skills, experience with ML frameworks (TensorFlow, PyTorch) and LLM tooling (HuggingFace)
• Expertise in MLops: Docker, Kubernetes, model serving (e.g., Triton, FastAPI), CI/CD
• Familiarity with data pipelines, SQL, cloud platforms (AWS SageMaker, GCP Vertex, Azure ML)
• Solid understanding of model evaluation, A/B testing, and ML performance metrics
• Excellent collaboration skills with product, backend, and data teams

Nice to Haves

• Prior work with conversational agents, retrieval-augmented generation, or multi-model orchestration
• Experience with vector search stacks (e.g. Pinecone, FAISS)
• Knowledge of embedding techniques, prompt engineering, or Reinforcement Learning from Human Feedback (RLHF)
• Startup experience and ability to navigate ambiguity and shape technical direction

Why You Should Join

• Competitive equity & pay - get in early and own what you build.
• Work closely with experienced founders with a proven startup track record.
• Move fast, ship fast - no corporate bureaucracy.
• Shape the AI revolution in healthcare - massive market, untapped potential

The Role

We’re looking for a Junior ML Engineer who’s excited to work at the intersection of AI agents and real-world applications. You’ll work alongside senior engineers to help design, implement, and optimize models that power intelligent workflows, gaining exposure to both research and production environments.

Key Responsibilities

• Support the training, evaluation, and deployment of machine learning models used by our agent platform
• Assist in building data pipelines for ingesting, transforming, and labeling large datasets
• Work on model fine-tuning, prompt design, and performance evaluation under guidance
• Collaborate with backend and product teams to integrate ML components into production
• Help monitor deployed models and track performance metrics over time
• Contribute to documentation, testing, and internal tooling for ML workflows

Requirements

• 1–2 years of experience in applied machine learning or strong internship/project background
• Proficiency in Python and familiarity with ML frameworks like PyTorch or TensorFlow
• Understanding of foundational ML concepts, evaluation metrics, and training/inference workflows
• Comfortable with Jupyter notebooks, version control (Git), and scripting for data processing
• Strong eagerness to learn and iterate quickly in a startup environment

Nice to Haves

• Exposure to LLMs, embeddings, vector stores, or retrieval-augmented generation (RAG)
• Familiarity with MLOps tools (e.g., MLflow, Weights & Biases)
• Experience with cloud platforms (AWS, GCP, or Azure)
• Previous experience in a fast-paced research or startup team

Why You Should Join

• Competitive equity & pay - get in early and own what you build.
• Work closely with experienced founders with a proven startup track record.
• Move fast, ship fast - no corporate bureaucracy.
• Shape the AI revolution in healthcare - massive market, untapped potential

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.