Jobs

Are you a Data Scientist with a love of LLMs, generative AI?

We are looking for a passionate Data Scientist to implement AI solutions aimed at achieving business goals.

This role offers the opportunity to work on cutting-edge AI adoption projects that helps to improve current business processes.

Skills requirements:
• Strong Python Experience (1 year +);
• Experience with LLM , Diffusion models;
• Knowledge of Prompt engineering;
• Experience with Gen AI-related technologies such as LangChain and RAG;
• Experience with Neural Networks (Optional) ;
• Experience with NLP , Predictive analytics and Machine learning;
• Experience with Pandas;
• Experience with SQL, including experience with large datasets;
• Strong experience in statistics;

Key responsibilities:
• Develop AI agents that utilize LLM, RAG and langchain approach;
• Implement LLM and Diffusion models to boost business productivity;
• Utilize LLM (LLM Vision) to improve object detection, text classification and extraction;
• Create forecasting, recommendation, and classification models;
• Transform business challenges to AI applications;

We offer:

• Great networking opportunities with international clients, challenging tasks;

• Building interesting projects from scratch using new technologies;

• Personal and professional development opportunities;

• Competitive salary nominated in USD;

• Paid vacation and sick leaves;

• Flexible work schedule;

• Friendly working environment with minimal hierarchy;

• Team building activities, corporate events.

Automat-it is where high-growth startups turn when they need to move faster, scale smarter, and make the most of the cloud. As an AWS Premier Partner and Strategic Partner, we deliver hands-on DevOps and FinOps and GenAI support that drives real results.

We work across EMEA, fueling innovation and solving complex challenges daily. Join us to grow your skills, shape bold ideas, and help build the future of tech

We seek an experienced MLOps Engineer to join our team. You will work hands-on with innovative startups' Data Science and R&D teams and be in charge of various projects. You will develop robust MLOps pipelines, create cutting-edge Generative AI solutions, implement the latest technologies, and ensure the customers’ success by overseeing the project from inception to completion.

📍 Work location - remote from Ukraine

If you are interested in this opportunity, please submit your CV in English.

Responsibilities:

• Developing MLOps pipelines leveraging the Amazon SageMaker platform and its features
• Developing Generative AI solutions and POCs, utilizing the latest architectures and technologies
• Provision of ML AWS resources and infrastructure
• Developing ML-oriented CI/CD pipelines using GitHub Actions, Bitbucket, or similar tools
• Deploying Machine Learning models in production
• Help customers tackle challenges on a scale using distributed training frameworks  
• Learning new skills and technologies quickly
• Using and writing Terraform libraries for infrastructure deployment
• Developing CI/CD pipelines for projects of various scales and tech stacks
• Maintaining infrastructures and environments of all types, from dev to production
• Security monitoring and administration
   

Requirements:

• Excellent customer-facing skills to understand and address client needs effectively 
• Ability to design and implement cloud solutions and to build MLOps pipelines on AWS
• Experience with one or more MLOps frameworks like Kubeflow, MLFlow, DataRobot, Airflow, etc. 
• Fluency in Python, a good understanding of Linux, and knowledge of frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc.
• Ability to understand tools used by data scientists and experience with software development and test automation
• Experience with one or more large language model frameworks like OpenAI SDK, Amazon Bedrock, LangChain, and LlamaIndex
• Fluent written and verbal communication skills in English
• Working knowledge of some Vector Databases (OpenSearch, Qdrant, Weaviate, LanceDB, etc) - an advantage
• Experience with Docker and Kubernetes - an advantage
• Working knowledge with Snowflake, BigQuery, and/or Databricks - an advantage
• GCP or Azure knowledge (DevOps/MLOps) - an advantage

• ML certification (AWS ML Specialty or similar) - an advantage

   

Benefits

• Professional training and certifications covered by the company (AWS, FinOps, Kubernetes, etc.)
• International work environment
• Referral program – enjoy cooperation with your colleagues and get a bonus 
• Company events and social gatherings (happy hours, team events, knowledge sharing, etc.)
• English classes
• Soft skills training

Country-specific benefits will be discussed during the hiring process.

Automat-it is committed to fostering a workplace that promotes equal opportunities for all and believes that a diverse workforce is crucial to our success. Our recruitment decisions are based on your experience and skills, recognising the value you bring to our team.

Our client is a USA Product Company, with headquarters in Atlanta, Georgia. His product is a supply chain planning and automation platform.

As we continue to grow and evolve, we're seeking a pioneering Autonomous AI Developer to architect and implement advanced agentic AI systems that revolutionize our supply chain planning operations. This role focuses on creating autonomous agents using modern agentic frameworks to develop self-improving, goal-directed systems that can independently handle complex supply chain decisions while maintaining robust alignment with organizational objectives.

Responsibilities

· Design and implement agentic AI architectures using frameworks like AutoGPT, BabyAGI, and AgentGPT to create goal-oriented autonomous systems for supply chain planning

· Develop custom agentic frameworks that combine LLMs, tool use, memory systems, and planning capabilities to create sophisticated supply chain agents

· Architect multi-agent systems with specialized roles (Planner, Executor, Controller, Observer) that can collaborate and coordinate complex supply chain operations

· Implement advanced cognitive architectures incorporating reflection, meta-learning, and recursive self-improvement capabilities

· Create robust agent alignment mechanisms ensuring autonomous systems maintain goal consistency and value alignment throughout their operation

Requirements

 · Master's degree or higher in Computer Science, AI, or a related field with a focus on autonomous systems

· 5+ years of experience developing autonomous AI systems

· Deep expertise in agentic AI frameworks and cognitive architectures

· Strong background in implementing LLM-based autonomous agents

· Experience with agent memory systems (episodic, semantic, procedural)

· Proven track record of deploying production-grade autonomous agents

· Strong experience with mathematical optimization tools

Technical Skills

• Agentic Development Frameworks:

  - AutoGPT and derivatives

  - LangChain/LlamaIndex for agent construction

  - BabyAGI and task decomposition systems

  - Custom agent frameworks and architectures

• Agent Components

  - Planning and reasoning modules

  - Tool use and API integration

  - Memory systems and knowledge bases

  - Meta-learning and reflection mechanisms

  - Agent communication protocols

• Optimization Tools & Frameworks:

  - Google OR-Tools for constraint programming and optimization

  - Gurobi/CPLEX for mathematical optimization

  - PyMO for mathematical modeling

  - Optuna/Ray Tune for hyperparameter optimization

  - SCIP optimization suite

  - LocalSolver for local search optimization

• ML & Deep Learning:

  - PyTorch/TensorFlow

  - Scikit-learn

  - XGBoost/LightGBM

  - Reinforcement learning frameworks

Core Competencies:

· Deep understanding of agentic AI architectures and design patterns

· Expertise in implementing cognitive architectures for autonomous agents

· Strong knowledge of agent alignment and safety mechanisms

· Experience with multi-agent coordination and communication

· Ability to design scalable and reliable agent systems

Projects You'll Work On:

· Developing autonomous planning agents that can independently handle supply chain optimization

· Developing hybrid systems that combine ML-based agents with classical optimization

· Creating intelligent agents that can formulate and solve optimization problems

· Creating multi-agent systems for collaborative supply chain decision-making

· Implementing agent memory systems for continuous learning and improvement

· Building agent monitoring and control systems for safety and reliability

· Designing agent reflection mechanisms for self-improvement

· Implementing real-time optimization pipelines for supply chain decisions

Benefits Include

· Competitive Compensation

· Flexible PTO

· Flexible work arrangements and continuous learning

MacPaw is a software company that develops and distributes software for macOS and iOS. Today, we have 20 million active users across all our products.

At MacPaw, we believe humans and technology can reach their greatest potential together.

MacPaw is proud to be Ukrainian. The support and development of Ukraine are significant parts of the company’s culture. MacPaw gathers open-minded people who support each other and aspire to change the world around us.

We are building a world-class AI research unit and are looking for an experienced AI Research Scientist to strengthen our team. Since this unit is still young, this role offers a unique opportunity to shape its direction, contribute to its growth, and help establish it as a leader in AI research.

At our company, you’ll be working with the latest trends in the industry, conducting cutting-edge research, and bridging the gap between academic advancements and real-world applications. You'll have the chance to develop AI solutions that power products used by millions of users, ensuring that your innovations have a tangible impact.

If you are passionate about pushing the boundaries of AI research, publishing at top-tier conferences, and applying research to large-scale products, we’d love to hear from you!

In this role, you will:

• Drive cutting-edge research in fields critical to our AI research unit’s objectives, leading to innovative solutions and contributions to scientific advancement in key directions (e.g. Local LLMs, Agents, Reinforcement Learning, 3D, etc.)
• Take ownership of research initiatives from ideation to implementation, and personally conduct key aspects of the research
• Bridge the gap between advanced research and real-world applications by integrating state-of-the-art research results into our products 
• Collaborate with cross-functional teams to ensure that scientific innovations enhance product functionality and deliver measurable value to the customers
• Deliver high-impact research that results in publications accepted at top-tier AI conferences (e.g., NeurIPS, ACL, CVPR). Represent the organization as a speaker, establishing the research team as a world-class unit through exceptional contributions and scientific discourse
• Organize and conduct knowledge-sharing sessions for research teams and stakeholders, covering analysis methods, research processes, and successful implementation cases
• Provide mentoring and opportunities for students and other fellow employees
   

Skills you’ll need to bring:

• Prior experience as an AI Research Scientist with a proven innovation track record
• Strong record of publications, preferably at top-tier AI conferences like NeurIPS, ICML, CVPR, ECCV, ICLR, etc.
• Proven expertise in Large Language Models (LLMs) and Multimodal LLMs (MLLMs), hands-on experience with training, fine-tuning, and optimizing models for various applications
• Experience in leading research initiatives from ideation to deployment
• Proven ability to bridge academic research with industry needs by developing scalable AI solutions that create measurable value
• Experience in translating cutting-edge research into practical applications, integrating state-of-the-art models into real-world products and production environments
• Experience mentoring junior researchers, students, and colleagues in AI domains
• Advanced level of English
   

As a plus:

• Experience working in academic, corporate, or government AI research labs, contributing to cutting-edge advancements

What we offer:

• We are a Ukrainian company, and we stand with Ukraine against the russian aggression
  We maintain workplaces for the mobilized Macpawians and provide financial support to colleagues or their families affected by the war. Here, you can also read about the MacPaw Foundation, which intends to help save the lives of Ukrainian defenders and provide relief to as many civilians as possible: https://macpaw.foundation/.
• We are committed to our veterans
  Our Veteran Career and Empowerment Program is designed to ensure our veterans and active military personnel receive the recognition, support, and opportunities they deserve.
• Hybrid work model
  Whether to work remotely or at the hub is entirely up to you. If you decide to mix it, our Kyiv office, which works as a coworking space, is open around the clock. The office is supplied with UPS and Starlink for an uninterrupted work process.
• Your health always comes first
  We guarantee medical insurance starting on your first working month. For those abroad, you can receive a yearly Medical insurance allowance as compensation for managing your medical expenses.
• Flexible working hours
  You can choose a schedule that is comfortable for you. No one here tracks your clock in/out because MacPaw is built on trust and cooperation.
• Space to grow both professionally and personally
  Education opportunities to grow both hard and soft skills, annual development reviews, and internal community.
• Teams we are proud of
  We build honest, transparent, and reliable relationships within teams. Every Macpawian can improve processes and implement their ideas. We encourage open and constructive feedback and provide training for Macpawians on giving and receiving feedback.
• Office designed for people (and pets)
  Our office has it all: a spacious workplace with enough room for sitting up, lying down, and running around; a gym for recreation; cozy kitchens; a sleeping/meditation room; and a terrace with a view where we throw summer parties. Also, we have two cats living in the office, and you are welcome to bring your pets to the office (we have separate floors for cats and dogs).
• Time-off policy that covers life’s needs
  Convenient personal time-off policy to help you take care of essential matters in your personal life, and parental leaves. On top of all that, sabbaticals are open after 5 years of being with MacPaw.
• Join social initiatives with MacPawCares
  MacPaw participates in numerous humanitarian aid and charity projects across many fields, and you are welcome to jump in to make the world a better place.
• We’re an equal-opportunity employer. Here is a safe place for applicants of all backgrounds
  We are hiring talented humans. Meaning with all our variety of backgrounds and identities, including service members and veterans, women, members of the LGBTQIA+ community, individuals with disabilities, and other often underrepresented groups. MacPaw does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
  
  *Some benefits are under development, and new adjustments are possible.

Role Responsibilities:

• Design and develop AI Agents and supporting tools, including API-as-a-service solutions.
• Prepare comprehensive documentation for development and deployment processes.
• Contribute to R&D initiatives within the Data Science team, driving innovation and experimentation.

Required Skills & Experience:

• 5+ years of experience with deep learning frameworks such as PyTorch and/or TensorFlow.
• 5+ years of hands-on Python development experience.
• Proven experience with LLMs, RAG pipelines, and AI Agent development.
• Practical knowledge of Amazon SageMaker, Amazon Bedrock, LangChain, LangGraph, LangSmith, LlamaIndex, HuggingFace, and OpenAI tools.
• Experience using AI tools to improve development productivity, code quality, and assist in code reviews.
• Solid understanding of SQL, NoSQL, and vector databases.
• Strong grasp of embedding vectors and semantic search techniques.
• Proficiency with Git (Bitbucket) and Docker.
• English level: Upper-Intermediate (B2+) or higher.

Nice to Have:

• Hands-on experience with SLMs and fine-tuning of LLMs.
• Educational background in Data Science, Computer Science, Applied Mathematics, or related fields.
• AWS certification (e.g., AWS Certified Machine Learning – Specialty).
• Familiarity with TypeSense.
• Experience with speech recognition and speech-to-text ML models.

Team Summary

We are a distributed team that develops motion detection features for both Cloud and Edge environments, ensuring high performance and adaptability for diverse deployment needs. You can choose to focus on either Edge or Cloud solutions. Those interested in Edge will work on advanced computer vision algorithms and sensor-based detection methods to enable efficient real-time performance directly on devices. Those focusing on Cloud will develop scalable, high-performance motion detection solutions using cloud-based technologies, optimizing collaboration between Edge and Cloud for the best results.

You will be responsible for day-to-day research tasks, such as setting up hypotheses, gathering data for experiments, training and validating ML models, validating results, and writing a paper on your results.

Responsibilities and Duties

— Develop innovative machine learning algorithms. Implement advanced methods and technologies in model development

— Analyze large datasets to identify correlations and patterns. Visualize research results for clearer interpretation

— Tune hyperparameters and optimize algorithms. Improve models to enhance their performance and accuracy

— Provide consultations and collaborate with colleagues from other departments

— Report progress and project achievements to management

— Explore and evaluate new technologies in the field of machine learning. Implement cutting-edge ideas and techniques into production processes

— Engage in continuous self-improvement and technical skill development. Train and mentor junior colleagues to enhance the overall competence level within the team

Qualifications and Skills

— 3+ years in machine learning (computer vision domain)

— Practical experience in at least one of the following problems: classification, detection, segmentation

— Python3, NumPy, scikit-learn, pandas, SciPy

— Deep learning frameworks: PyTorch

— Experience in deploying machine learning models to production

— Good understanding of machine learning and deep learning concepts

— Good written and spoken English

Nice to have

— Practical experience with GANs, VAEs

— Probabilistic programming and bayesian framework

— Model optimization: pruning, quantization, knowledge distillation

— Basic understanding of web and client-server architecture

— asyncio, aiohttp, and other async libraries for back-end

— Basic understanding of Big Data, understanding of difference between MapReduce and in-memory processing

— Algorithms, data structures

— SQL, NoSQL

— Docker, Kubernetes, Kubeflow

— C++, Bash

We offer multiple benefits that include

— The environment of equal opportunities, transparent and value-based corporate culture and an individual approach to each team member

— Competitive compensation and perks. Annual performance review

— Gig-contract

— 21 paid vacation days per year, paid public holidays according to the Ukrainian legislation

— Development opportunities like corporate courses, knowledge hubs, and free English classes as well as educational leaves

— Medical insurance is provided from day one. Sick leaves and medical leaves are available

— Remote working mode is available within Ukraine only

— Free meals, fruits, and snacks when working in the office.

Hello!

We are Harmix (www.harmix.ai), a Ukrainian startup creating innovative products for the music industry. Our mission is to transform the approach to music search and analysis using advanced AI technologies.

We seek a Middle ML Engineer specializing in Generative AI to join our innovative team. You'll be at the forefront of developing multimodal AI, Large Language Models (LLMs), and AI Agents.

Key Responsibilities:

• Develop and optimize generative models using Python and PyTorch.
• Implement and refine multimodal AI solutions integrating audio, text, and visual data.
• Design and enhance Large Language Models (LLMs) and AI agents for complex tasks.
• Build robust ML pipelines for training, evaluation, and deployment.
• Collaborate closely with backend, frontend, and DevOps teams to ensure seamless integration of AI models.
• Conduct experiments, analyze results, and continually improve model performance.

• Document research findings, codebases, and model architectures clearly and effectively.

   

What We Expect from the Candidate:

• Solid understanding of Machine Learning fundamentals, including deep learning, NLP, and generative models.
• 3+ years of experience working with Python and PyTorch.
• Practical experience with LLMs (e.g., GPT models, LLaMA), transformer architectures, and AI agents.
• Experience developing and deploying multimodal AI systems.

• Strong analytical and problem-solving skills.

   

What Is a Plus:

• Experience with vector databases and retrieval systems.
• Knowledge of cloud services (AWS, GCP, Azure) and containerization (Docker).
• Understanding of Databricks, CI/CD processes and deployment best practices.

• Contributions to open-source ML/AI projects.

   

What We Offer:

• Remote Contract: 20-40 hours per week.
• Flexible work schedule.
• Collaborative environment with opportunities for professional growth.
• Chance to contribute directly to innovative products shaping the future of the industry.

AI Specialist — Remote

We’re looking for a skilled AI Specialist to join our team and enhance our electronic health record (EHR) system for therapists. Your work will directly improve how therapists interact with patient data by developing AI-driven features for quick insights, automated documentation, speech-to-text, and patient booking assistance.

Job Description

As an AI Specialist, you will build and deploy AI solutions to streamline therapist workflows and improve patient engagement. Your main focus will be developing a language model for real-time data insights, text generation for automated documentation, speech-to-text for effortless note-taking, and a conversational assistant for online booking.

Key ResponsibilitiesLanguage Model for Queries

• Develop and deploy NLP models that answer therapist queries like:
   
  • “How many times has patient been here?”
  • “What is the most common diagnosis?”
  • “Show me the most used diagnoses across all my patients.”
• Integrate these models with databases (SQL/NoSQL) for efficient data retrieval.

Text Generation for Therapist Journals

• Train AI models (e.g., GPT-3, T5) on therapist journals to automate documentation and reporting.
• Ensure generated text is relevant, unbiased, and aligns with medical standards.

Speech-to-Text for Notes

• Implement speech recognition models (e.g., Google Speech-to-Text, DeepSpeech, Whisper) to convert therapist spoken notes into structured text.
• Optimize accuracy across different accents, speech patterns, and environments.

Patient Booking Assistant

• Develop a conversational AI chatbot for seamless online appointment scheduling.
• Use frameworks like Rasa, Dialogflow, or Microsoft Bot Framework for intent recognition and natural interactions.

Required Skills and ExperienceNatural Language Processing (NLP) & Question-Answering

• Hands-on experience with Hugging Face Transformers, spaCy, or NLTK.
• Expertise in developing domain-specific language models (BERT, GPT, or similar).

Text Generation & AI Training

• Experience fine-tuning GPT-3, T5, or similar models on medical and therapist documentation.
• Strong skills in data preprocessing and ensuring model-generated text is accurate.

Speech Recognition

• Proficiency with Google Speech-to-Text, OpenAI Whisper, DeepSpeech, and audio processing techniques.
• Experience handling voice data variations and optimizing recognition accuracy.

Conversational AI & Chatbots

• Knowledge of Rasa, Dialogflow, Microsoft Bot Framework for building AI-driven assistants.
• Strong understanding of intent recognition and entity extraction for scheduling-related tasks.

Core Programming & Machine Learning Skills

• Proficiency in Python, including ML frameworks like TensorFlow, PyTorch.
• Experience working with large datasets (cleaning, preprocessing, augmentation).
• Database experience (SQL/NoSQL) for AI-powered queries.

Healthcare AI & Compliance (Preferred, but not required)

• Familiarity with EHR systems and healthcare data privacy regulations (e.g., HIPAA).
• Prior experience working with medical terminology and structured clinical data.

Preferred Qualifications

• Master’s or Ph.D. in Computer Science, AI, Machine Learning, or related fields.
• Previous work experience in healthcare AI, electronic health records, or medical technology.
• Knowledge of cloud platforms (AWS, GCP) for AI model deployment and scaling.

Technology Stack

✅ NLP & AI Models: Hugging Face, spaCy, GPT-3, T5, BERT, SQL/NoSQL integration.
✅ Text Generation: GPT-3, T5, custom AI training pipelines.
✅ Speech-to-Text: OpenAI Whisper, DeepSpeech, Google Speech-to-Text, audio processing tools.
✅ Conversational AI: Rasa, Dialogflow, Microsoft Bot Framework.
✅ Core Development: Python, TensorFlow, PyTorch, data processing libraries (pandas, NumPy).

About Us

We are building the next-generation electronic health record (EHR) system for therapists—focused on streamlining documentation, automating insights, and improving patient interactions. With AI at the core, we aim to make therapists’ work more efficient and intuitive.

What We Offer

🌍 Fully remote role—work from anywhere!
🚀 Opportunity to shape the future of AI-powered healthcare tools.
📈 Work with cutting-edge NLP, speech recognition, and generative AI.
🤝 Collaborative, forward-thinking team.

Ready to Build the Future of AI in Healthcare?

Apply now and let’s talk! 🚀

We are seeking a highly skilled and visionary AI Tech Lead with expertise in Computer Vision and a strong focus on deploying AI solutions on edge devices. The ideal candidate will lead a team of engineers and researchers to design, develop, and implement cutting-edge AI-powered Computer Vision solutions that run efficiently on edge hardware. This role is pivotal in driving innovation and delivering scalable, real-time AI applications for our business and clients.

Key Responsibilities:

• Lead the development and deployment of Computer Vision models tailored for edge devices, ensuring high performance and low latency.
• Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to define requirements and deliver robust AI solutions.
• Research and stay up-to-date with advancements in edge computing, computer vision algorithms, and AI frameworks to ensure our solutions remain cutting-edge.
• Optimize machine learning models for inference on edge devices by leveraging techniques such as quantization, pruning, and knowledge distillation.
• Mentor and guide a team of AI engineers and researchers, fostering a culture of innovation and technical excellence.

• Participate in strategic decision-making to align AI initiatives with business goals and objectives.

   

  Experience:

• Proven experience in computer vision, with a focus on deploying solutions on edge devices.
• Hands-on experience with frameworks such as TensorFlow Lite, ONNX Runtime, PyTorch Mobile, or similar.
• Strong understanding of edge AI hardware (e.g., NVIDIA Jetson, Google Coral, Qualcomm AI Engine) will be a plus

• Expertise in optimizing deep learning models for low power and memory-constrained environments.

   

  Technical Skills:

• Proficiency in programming languages like Python (C++ will be a plus)
• Strong knowledge of Computer Vision techniques, including object detection, image segmentation, and feature extraction.
• Familiarity with tools and technologies for model compression, such as TensorRT, OpenVINO, or CoreML.

• Experience with real-time data processing and streaming on edge devices.

   

  Leadership Skills:

• Demonstrated ability to lead and mentor technical teams.
• Excellent problem-solving and decision-making skills.
• Strong communication skills to convey complex technical concepts to non-technical stakeholders.

With us you will enjoy:

• Working with a team of people to build the future of an industry.
• Non-trivial challenges and various specter of interesting tasks.
• A flexible, friendly and collaborative work environment.
• Corporate culture based on common sense.
• Opportunities to influence the creation of new products and their quality.

Аbout the Project:

We develop intelligent voice bots for business process automation. Our solutions integrate with CRM systems, enterprise databases, and other platforms using an open-source technology stack (Rasa, spaCy) and the Node-RED platform.

Responsibilities:

• Developing and configuring voice/chatbots based on Rasa.

• Integrating bots with external systems (API, CRM, data buses) via Node-RED.

• Creating custom actions and logic in JavaScript within Node-RED.

• Adapting NLP models (intent classifiers) to meet specific client requirements.

• Participating in bot architecture design and optimization.

Requirements:

• Hands-on experience with JavaScript (for custom logic development in Node-RED).

• AI Chatbots creating experience.

• Understanding of NLP principles.

• Experience integrating with external APIs, and databases. 

• Understanding of machine learning fundamentals and LLMs basics.

• Git knowledge

• Strong teamwork and communication skills.

Nice to Have:

• Experience with Rasa (NLU, dialogue scenarios, custom actions) or other intent-based frameworks.

• Knowledge of Node-RED or similar solutions.

• Experience with libraries such as Langchain, spaCy, and others.

• Docker knowledge.

We Offer:

• Remote work with a flexible schedule.

• Participation in projects for large clients across various industries.

• Opportunities for professional growth and learning new technologies.

• Collaborative work with experts in NLP and integration solutions.

We would be grateful if you could send us sample projects (GitHub, portfolio).

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

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

What You’ll Do

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

What We Expect

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

Nice to Have

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

Who Thrives in This Role

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

What We Offer

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

Why Join Immigrant Invest?

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

Requirements:

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

• Bonus: experience with Kubernetes, Airflow, Kubeflow, Ray.

   

Responsibilities:

• Selecting and configuring modern Transformer/LLM models for company-specific tasks.

Fine-tuning, LoRA tuning, model distillation, and quantization.

• Preparing and processing datasets (including augmentation).
• Deploying models to production and automating pipelines (data → training → inference).
• Monitoring model performance in production, retraining, and optimization.
• Collaborating with Data Engineers and DevOps to build the MLOps infrastructure.

• Evaluating model performance using various metrics and analyzing results to identify areas for improvement and optimization.

   

We offer you:

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

Interested in joining our team? We invite you to submit your CV.

<By submitting your CV to LLC “GigaCloud”, EDRPOU code [39792589] (hereinafter referred to as the “Company”), in response to our vacancy, you consent to the processing of your personal data contained in the CV by the Company in accordance with the Law of Ukraine “On Personal Data Protection”, ISO 27701 Information Privacy Management System, and the provisions of the GDPR>.

Your expertise:

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

Will definitely be a plus:

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

What’s in it for you?

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

You will be involved into:

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

About the company and project:

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

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

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

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

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

Hi!

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

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

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

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

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

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

Requirements:

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

• Upper-Intermediate level of English is mandatory;

  
  Certifications obtained (mandatory):

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

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

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

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

Requirements:
● 8+ years of experience in software engineering, with a focus on AI/ML systems or distributed systems;
● Hands-on experience building and deploying retrieval-augmented generation (RAG) systems;
● Deep knowledge of OpenSearch, Elasticsearch, or similar search engines;
● Strong coding skills in Python;
● Experience with frameworks like LlamaIndex or LangChain;
● Familiarity with vector databases such as Pinecone, Qdrant, or FAISS;
● Exposure to LLM fine-tuning, semantic search, embeddings, and prompt engineering;
● Previous work on systems handling millions of users or queries per day;
● Familiarity with cloud infrastructure (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes);
● Experience with vector search, embedding pipelines, and dense retrieval techniques;
● Proven ability to optimize inference stacks for latency, reliability, and scalability;
● Excellent problem-solving, analytical, and debugging skills;
● Strong sense of ownership, ability to work independently, and a self-starter mindset in fast-paced environments;
● Passion for building impactful technology aligned with our mission;
● Bachelor’s degree in Computer Science or related field, or equivalent practical experience.

Responsibilities:
● Design, build and scale a production-grade inference stack for RAG-based applications;
● Develop efficient retrieval pipelines using OpenSearch or similar vector databases, with a focus on high recall and response relevance;
● Optimize performance and latency for both real-time and batch queries;
● Identify and address bottlenecks in the inference stack to improve response times and system efficiency;
● Ensure high reliability, observability, and monitoring of deployed systems;
● Collaborate with cross-functional teams to integrate LLMs and retrieval components into user-facing applications;
● Evaluate and integrate modern RAG frameworks and tools to accelerate development;
● Guide architectural decisions, mentor team members, and uphold engineering excellence.

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