Jobs

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 digitally transform the way their organizations run.

We’re on the hunt for a Senior/Staff Machine Learning Engineer to join our adventure — someone ready to wrangle data, tame models, and help write the next (and smartest) chapter in airSlate’s story.

At 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:

• Design, Develop, and Train ML Models:
• Data Collection, Preparation, and Feature Engineering:
• Model Evaluation, Validation, and Optimization:
• Deploy and Maintain ML Models in Production:
• Explore Agentic AI and RAG Applications:
• Collaborate with Cross-Functional Teams:
• Develop and Maintain Data Pipelines:

What we expect from you:

• Proven experience in an AI/ML environment, with a track record of delivering impactful solutions.
• Hands-on expertise with traditional ML techniques (Supervised, Unsupervised, Semi-Supervised, and Reinforcement Learning, especially in Deep Learning).
• Proficiency in Python for model development and implementation.
• Familiarity with cutting-edge LLM technologies, including effectively utilizing components like embeddings for advanced applications and solutions.
• Strong communication skills, able to clearly articulate technical concepts to both technical and non-technical stakeholders.
• Experience working effectively with distributed teams across time zones, ensuring seamless collaboration.
• A cooperative, team-player attitude with a focus on knowledge sharing and growth.
• Fluent in English, both written and spoken.

Nice to have:

• Hands-on experience with AI applications in digital marketing, particularly in automation and optimization.
• A Bachelor’s degree (or higher) in Computer Science, Engineering, Mathematics, Statistics, or a related field; advanced degrees (e.g., Master’s or Ph.D.) are a plus.
• Experience contributing to research projects, academic or industry-led, especially those involving novel AI/ML approaches or experimental techniques.
   

What we offer:

— Flexible work environment — We value the advantages of in-person collaboration and prioritize work from our offices in Wroclaw or Bialystok. However, we also provide flexible work arrangements to accommodate remote or hybrid options and flexible scheduling.

— Bonuses and compensation — On top of a competitive base salary, we reward our team members' performance with a quarterly bonus to recognize achievements, time, and effort.

— Stock options — At airSlate, our team members are more than employees; they're business partners. We issue stock options that grant ownership in the company, allowing everyone to share in its growth.

— Professional growth opportunities — We are committed to ongoing improvement and welcome those passionate about learning. We cover professional development courses, conferences, literature, English classes, and more for each team member.

Health and well-being—We prioritize the health and well-being of our team. This is why we provide a Luxmed subscription, a Multisport card for every team member, access to the office's massage room, free lunches, and healthy in-office snacks to sustain your energy. Also, we provide all our team members with Mental Health Days, dedicated days off recognized globally to encourage people to log off and recharge.

— Open communication — We encourage transparent communication from all team members at airSlate. Feel free to share your thoughts, ideas, and concerns with our management team, CEO, any member of our leadership team, or any team lead at any time.
 

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.

We are a US-based startup (Home Safe Services with IoT devices) launching AI/ML as a new direction and looking for a self-driven AI/ML Engineer to take the lead. This is a foundational role - you’ll be responsible for proposing, developing, and deploying AI/ML solutions from scratch.

Responsibilities
 

• Build and deploy end-to-end ML solutions
• Design and implement LLM-based systems (including RAG, MCP, fine-tuning, prompt engineering)
• Drive the AI/ML strategy
• Set up ML infrastructure (deployment, monitoring, CI/CD)
• Collaborate with the product team to integrate ML into products

Requirements

• Strong skills
• Solid understanding of LLMs and generative AI
• Familiarity with cloud-based ML deployment
• Ability to work autonomously
• English: Upper-Intermediate or higher

We Offer

• Flexible format: Full-time or Part-time
• Key role in a growing product team
• Full ownership of AI/ML direction
   

If you’re someone who wants to make homes safer through IoT and AI solutions, we’d be glad to have you on our team. We have experience in IoT and are looking for someone who can help take our solutions to the next level!

Description:
We are looking for a motivated intern eager to grow their skills in web development and AI tools. You will work directly with our software developer, assisting with daily tasks and helping implement new features.

Responsibilities:

• Assist in the development and creation of a website using Zoho.
• Perform manual testing to identify errors and ensure code quality.
• Maintain and update technical documentation.
• Participate in ChatGPT-related tasks, such as prompting, integration, and automation.
• Support the development process by performing various technical tasks.
• Assist in building and improving retrieval-augmented generation (RAG) pipelines using embedding models and LLMs.
• Work with Python scripts and tools for API interaction, data processing, or automation tasks.
• Contribute to prompt engineering: designing, testing, and refining prompts for LLMs (ChatGPT, Qwen).
• Support workflow automation using tools like n8n, connecting APIs, databases, and AI models.

Requirements:

• Bachelor's degree (or final-year student) in computer science, IT, or related fields, or equivalent experience.
• Basic knowledge of HTML, CSS, JavaScript, and SQL.
• Knowledge of REST APIs and scripting languages (e.g., Deluge).
• Strong analytical and problem-solving skills.
• Attention to detail and ability to write high-quality code.
• Good communication and teamwork skills.
• English — Intermediate level (reading documentation and basic communication).
• Basic experience with Python for scripting, data manipulation, or automation.
• Familiarity with AI concepts, especially large language models (LLMs) such as GPT or Qwen.
• Understanding of embedding models, such as Sentence Transformers, and how they are used in semantic search or RAG pipelines.
• Experience with REST API integrations, including authentication and response parsing.
• Experience with low-code/no-code automation tools, such as n8n, is a plus.
• Curiosity and readiness to explore retrieval-augmented generation (RAG) systems and their application in real-world scenarios.
• Basic understanding of prompt engineering techniques to optimize interactions with LLMs.

What you will get:

• Annual salary review and adjustment.
• Accounting support.
• Training and development opportunities.
• Up to 6 additional days for training or personal development.
• One social day dedicated to community or environmental initiatives.
• Paid vacation (20 working days).
• 5 paid sick leave days.
• Flexible 7-hour working day.
• A friendly team open to ideas, experimentation, and growth.

If you are passionate about technology and artificial intelligence and eager to gain practical experience, we look forward to your application.

Apply here: https://www.ask24.ai/careers

🌎 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

We are looking for a Blockchain Expert to join our team and lead the development of decentralized applications, smart contracts, and blockchain integrations. You will work closely with product managers, backend/front-end engineers, and security experts to build secure and scalable Web3 solutions.

Key Responsibilities:

• Design, develop, and deploy smart contracts (Solidity / Vyper / Rust)
• Build and maintain decentralized applications (dApps)
• Work with blockchains like Ethereum, BNB Chain, Solana, or Polkadot
• Integrate wallets (MetaMask, WalletConnect) and Web3 libraries (ethers.js, web3.js)
• Optimize smart contracts for gas efficiency and security
• Conduct code audits and participate in security reviews
• Collaborate with front-end and back-end developers on end-to-end solutions
• Research and implement Layer 2 scaling solutions (zkRollups, Optimism, etc.)

Requirements:

• 3+ years of hands-on experience in blockchain development
• Proficient in Solidity or another smart contract language
• Familiarity with Ethereum Virtual Machine (EVM) and token standards (ERC-20, ERC-721, ERC-1155)
• Experience with Web3 tools and libraries (Hardhat, Truffle, Foundry)
• Understanding of blockchain architecture, consensus mechanisms, and cryptography
• Strong problem-solving skills and security awareness
• English — Intermediate or higher

Nice to Have:

• Experience with Rust (Solana), Cairo (StarkNet), or Substrate (Polkadot)
• Knowledge of zero-knowledge proofs (zk-SNARKs, zk-STARKs)
• Experience with DAO or DeFi projects
• Contribution to open-source blockchain projects
• Experience working in a startup or fast-paced environment

SOFTLOFT Employment Package:

• Competitive Compensation Package
• Remote First Culture (work from anywhere)
• Flexible Work Schedule (09:00 — 10:00 & 18:00 — 19:00)
• 15 PTO days (paid annual leave)
• Up to 15 PSL days (paid sick leave)
• Tax Liabilities Coverage
• Ongoing Monthly Benefit Budget (customizable)
• Learning & Certification Programs
• English Tutoring
• Corporate Events
• A Fun Team to work with!

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!