Jobs

We are seeking a highly skilled and experienced Data Scientist/AI Consultant Specialist to join our team!

What is this role about?

This role is designed for a technically skilled, client-facing data scientist with a focus on AI and problem-solving. The primary responsibility is to apply AI and machine learning techniques, particularly in natural language processing (NLP) and large language models (LLMs), to address business challenges. Data scientist will primarily work with the business team and engage with clients to demonstrate potential data insights. This role is not focused on traditional software development or managing software engineering teams. Instead, it is ideal for someone with a strong AI and data science background who can think strategically and apply AI technologies in a client-facing, consultative role.

What is this project about?

It is a cutting-edge agentic workflow automation platform that enables users to create, automate, and manage complex workflows through a simple natural language interface. It leverages advanced machine learning models to help teams streamline tasks, integrate systems, and automate processes without the need for extensive coding or technical expertise. 

What is so great about this project? 

The project offers a unique opportunity to work on cutting-edge AI technology, lead innovation, and shape the future of business automation at a time when the demand for these solutions is growing rapidly.

What does the interview process look like?
- Recruiter interview - up to 30 minutes;

- Technical Interview - up to 1 hour;

- Technical Interview with client - up to 1 hour;

- Cultural interview with client - up to 30 minutes.

Requirements:

• 2-3 years of experience as a Data Scientist or in a similar role;
• 3-5 years of experience in software development;
• Expertise in AI, especially in NLP, LLMs, prompt engineering, and generative AI;
• Strong problem-solving skills with the ability to think critically and apply AI to business needs;
• Excellent interpersonal and communication skills, capable of engaging with clients and understanding their needs;
• A technical background, ideally with a master’s degree in computer science, AI, or a related field, with strong academic and practical knowledge in AI;
• Ability to work independently in a consulting role, without direct oversight;
• Comfortable working in a flexible and fast-paced environment, with rapid deployment and iteration cycles;
• Advanced level of English.

Responsibilities:

• Engage directly with clients to understand their business problems and determine how to solve them using AI models;
• Apply AI/NLP techniques, such as BERT models, generative AI to provide innovative solutions;
• Analyze conversations from platforms like Discord and Telegram to extract sentiment, identify key topics, and help segment communities (e.g., developers vs. speculators);
• Collaborate with the business team to demonstrate actionable insights to clients and help them better understand community dynamics;
• Create reusable workflows through fast prototyping and iterations based on client feedback;

Job Description

• 5+ years of professional experience in software development using Python
• 3+ years of hands-on experience in Natural Language Processing (NLP) and Machine Learning
• Strong expertise in working with Large Language Models (LLMs), AI agents, and RAG (Retrieval-Augmented Generation) architectures
• Experience with vector databases such as Chroma, Milvus, or similar for efficient similarity search and document retrieval
• Proven experience in training, fine-tuning, evaluating, and deploying ML models in production environments
• Solid understanding of model optimization, performance tuning, and scalability
• Familiarity with modern ML toolkits and libraries (e.g., Hugging Face Transformers, LangChain, LlamaIndex)
• Upper-intermediate English proficiency (both spoken and written)

Job Responsibilities:

Design, build, and maintain state-of-the-art machine learning systems and NLP pipelines
Develop and iterate on LLM-based solutions for tasks such as question answering, summarization, chat agents, and document understanding
Evaluate model performance using robust metrics and improve accuracy, latency, and reliability of ML pipelines

Project Description:

We are seeking a highly skilled Senior Machine Learning Engineer to join our team and help drive the development of cutting-edge AI solutions. You will work on projects involving natural language processing (NLP), large language models (LLMs), retrieval-augmented generation (RAG), and AI agents for UI design generation based on natural language.

We are currently looking for a Junior 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.
• 1-2 years of 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.

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the organization of the first Data Science UA conference, setting the foundation for our growth. Over the past 8 years, we have diligently fostered the largest Data Science Community in Eastern Europe, boasting a network of over 30,000 AI top engineers.
About the client:
Our client is a leading innovator in artificial intelligence solutions, specializing in AI-driven chatbot technologies that revolutionize human-machine interactions.

About the role:
We are looking for a highly skilled and experienced MLOps Engineer to join the team. This role is ideal for someone with strong expertise in designing, deploying, and managing advanced ML systems with a focus on automation and reliability. 

Requirements:
- Minimum 5 years in an MLOps Engineer role or a similar position.
- Strong proficiency in Python and related ML libraries (PyTorch, Hugging face, Transformers).
- Extensive experience in implementing engineering best practices and a deep understanding of Machine Learning fundamentals.
- Hands-on experience with technologies like Apache Spark (Spark SQL, MLlib/Spark ML) or similar big data frameworks and proficiency in tools such as Hadoop, Kafka, Cassandra, GCP BigQuery, AWS Redshift, Apache Beam, Apache Flink, etc.
- Experience with automated data pipeline and workflow tools, such as Airflow, Argo Workflows, Kubeflow, etc.
- Practical experience with major cloud providers, including AWS, GCP, or Azure.
- Proficiency in one or more MLOps platforms/technologies such as AWS SageMaker, Azure ML, GCP Vertex AI, Databricks, MLFlow, Kubeflow, or TensorFlow Extended (TFX).

Would be a plus:
- Experience with Large Language Models (LLMs) and computer vision applications, including image generation tools, Speech-to-Text (STT), Speech-to-Speech (STS), and Text-to-Speech (TTP).
- AWS, GCP, or Azure certifications are a strong advantage.
- Ability to quickly adapt to new technologies and environments, with a startup mindset for handling ambiguity and fast-paced change.

Responsibilities:
- Implement and Maintain CI/CD Pipelines.
- Set up and ensure smooth operation of continuous integration and continuous delivery for AI and machine learning projects.
- Establish reliable strategies for deploying AI models, with a focus on LLMs (Large Language Models) and Retrieval-Augmented Generation (RAG).
- Track deployed AI models' reliability, availability, and performance to ensure optimal operation.
- Work closely with AI teams to transition machine learning models and algorithms into production environments efficiently.
- Promote the use of version control, configuration management, and testing protocols for AI-driven solutions.
- Utilize MLOps Tools.
- Leverage frameworks such as Kubeflow, MLflow, or TensorFlow Extended (TFX) to manage the machine learning lifecycle, from experimentation to production.
- Set up monitoring systems for infrastructure metrics and AI model performance to enable early issue detection.
- Engage in on-call rotations using Site Reliability Engineering (SRE) principles to ensure uptime and meet service-level objectives (SLOs).

The company offers:
- A collaborative, innovative environment where your contributions make a difference.
- The chance to work with a passionate team of data scientists, engineers, product managers, and designers.
- A culture that values learning, growth, and the pursuit of excellence.

- This role requires relocation to Dubai after successfully completing the probation period. The client highly values on-site collaboration and expects team members to work from the company’s office to ensure alignment, productivity, and team synergy.

To support a smooth transition, the company provides full relocation assistance and offers a relocation bonus to help candidates comfortably settle in and adapt to the new environment.

We’re looking for an AI Copywriter to join Cana Agency!

We’re a digital content agency working across iGaming, IT. We help businesses grow through powerful, AI-enhanced content.

What we offer:

• Long-term, remote projects
• Flexible deadlines & schedule
• Regular payments twice a month
• Friendly team and editor feedback
• No test task — we value your time

You’re a great fit if you:

• Use ChatGPT, Jasper, or similar tools in your work
• Can refine and optimize AI drafts into high-quality content
• Have experience in iGaming or tech-related topics (a big plus)
• Write in English, Ukrainian, Russian (or other languages)

💬 Interested? Send your portfolio (Google Docs or links) and your rate per word in your message.

Let’s create something awesome together!

We’re Expanding and Looking for Talented Developers!

You’ll work directly with our technical founder (experienced developer with a strong AI interest), helping shape our AI direction from the ground up.

Our team specializes in working with startups, starting from the earliest stages of their development. Each project we take on is a unique challenge, requiring innovative and effective solutions. That’s why we always stay at the cutting edge of technology.

We believe that productive work is only possible in a comfortable environment with excellent planning. The best solutions are built on well-thought-out architecture, quality code, and modern technologies.

If these priorities resonate with you, you’ll love being part of our team!

Requirements

• 1+ years of experience with LLM APIs (e.g., OpenAI, Hugging Face Inference API).
• Understanding of how pretrained models work (LLMs, image-to-text, TTS/STT).
• 1+ years of experience building simple pipelines in Python using libraries like Transformers, Diffusers, Gradio, LangChain, or similar.
• 1+ years of experience with visual AI tools (ComfyUI, Automatic1111, or similar).
• Understanding of REST APIs and integrating ML features into web services (via API requests).

• Ability to work with texts: translations, basic transformations (tokenization, embeddings, chunking, etc.).

   

Nice-to-Haves

• 1+ years of experience with or interest in RAG (Retrieval-Augmented Generation).
• Basic fine-tuning skills or familiarity with LoRA / DreamBooth.
• 1+ years of experience building simple chatbots or AI agents.
• Exposure to multimodal tasks (text → image / audio / video).
• Prompt engineering knowledge to control LLM behavior.

• 1+ years of experience preparing glossaries or structured files to support translation tasks.

   

Responsibilities

• Help build and maintain simple AI pipelines for use in our internal tools and client web services.
• Integrate LLM and multimodal models (image, video, audio) into production-ready features.
• You’ll work directly with our technical founder (experienced developer with a strong AI interest), helping shape our AI direction from the ground up.
• Collaborate with backend/frontend engineers to deliver AI-driven features. Prepare and use glossaries, structured data, and RAG files for translation and document understanding tasks.
• Build early versions of AI-powered chatbots, assistants, and user-facing agents.

• Use both Python and visual tools (e.g., ComfyUI) for building and debugging pipelines. Take initiative and learn new tools or techniques as needed — you’ll be our first AI specialist.

   

Additionally:

• DevOps support is available in the team to help with deployment and running models locally.

• Complex integrations or tuning tasks can be delegated internally if needed.

   

What We Offer

• Possibility to be a part of startups from around the world
• Supportive, understanding, and flexible management
• Paid vacations and sick leave
• A friendly and welcoming team

Ми шукаємо Maintenance Еngineer, який прагне працювати в динамічному середовищі та розділяє цінності взаємної довіри, відкритості та ініціативності.

ПриватБанк — є найбільшим банком України та одним з найбільш інноваційних банків світу. Займає лідуючі позиції за всіма фінансовими показниками в галузі та складає близько чверті всієї банківської системи країни.

Ми прагнемо знайти цілеспрямованого професіонала, який вміє працювати в режимі багатозадачності, орієнтованого на якість та результат.

Основні обов’язки:
- Робота з БД Oracle, MySQL, PostgreSQL, SAP ASE, NoSQL, SAP IQ
- Аналіз проблем взаємодії між різними типами БД
- Участь у вирішенні інцидентів та взаємодія з технічною підтримкою
- Роботи з ETL додатками AWS
- Проведення регламентних та оперативних робіт 24/7/365
- Складання і обслуговування регламентів на БД.

Основні вимоги:

- Вища освіта 
- Досвід роботи з БД Oracle, My SQL, Postgre SQL, SAP ASE, No SQL, SAP IQ

- Розуміння логіки роботи шедулерів. Jenkins, Cronicle

- Досвід роботи з ОС – Linux

- Знання Git

- Досвід використання сервісів хмарних провайдерів (aws або google cloud)

- Створення скриптів автоматизації bash/python

Своїм співробітникам ми пропонуємо:

- Роботу в найбільшому та інноваційному банку України

- Офіційне працевлаштування та 24 календарних дні відпустки

- Конкурентну заробітну плату

- Медичне страхування та корпоративний мобільний зв’язок

- Корпоративне навчання

- Сучасний комфортний офіс

- Цікаві проєкти, амбіційні задачі та динамічний розвиток

- Дружній професійний колектив та сильну команду

We are inviting a passionate Data Scientist to join our project — a real-time crypto fraud prevention system. This innovative solution leverages AI-driven technology to detect and block scams, fraud, and cyber threats. You will be part of a dynamic team working on cutting-edge features like on-chain threat detection, monitoring suspicious activity, and protecting crypto transactions in real-time. If you’re ready to dive into the world of crypto security and make a tangible impact, join our team and explore new challenges.

Main requirements:

• 3+ years of hands-on experience in AI development
• Strong Analytical Skills in Data Science. Proficiency in exploratory data analysis (EDA), feature engineering, and feature selection. The candidate must be capable of handling complex, non-human-readable data with hidden patterns, creating custom solutions, and avoiding errors that could significantly impact results
• Knowledge of Classical Data Science Methods. Understanding classical models, including their advantages and disadvantages, and the ability to propose justified solutions for their application
• Familiarity with NLP Techniques and Deep Learning. Familiarity with fundamental Natural Language Processing (NLP) techniques, experience with deep learning libraries, understanding the model training process, and having practical experience in training custom models

• Proficiency in English (Upper-Intermediate or higher), both written and spoken

   

Will be a plus:

• A degree in Computer Science, Math, or other related fields
• Basic understanding of Web3 technology and its components

• Experience with Graph Neural Networks

   

The benefits you will get:

• Challenging goals and rewarding steps to make your career successful
• Flexible schedule
• Paid vacation and sick leaves
• Corporate accountant services
• Legal support

OTAKOYI is looking for a smart and eager Senior AI/ Back-end Engineer to join our team. We like challenges and self-development. If you like it too, don’t hesitate, to join us!

We are seeking someone with a keen eye for detail, strong problem-solving skills, and a love for working in an agile environment. You will be directly embedded in a cross-functional team.

Required Skills:

• Proven expertise in Python programming, with a focus on ML/AI libraries such as TensorFlow, PyTorch, scikit-learn, and Hugging Face;
• Experience with backend development using FastAPI (or similar frameworks) to build asynchronous and non-blocking systems;
• Strong understanding of NLP principles and experience working on RAG;
• Knowledge of vector databases such as Qdrant and relational databases like PostgreSQL;
• Experience with cloud platforms and containerization tools like Docker or Kubernetes;
• Proficiency in implementing and managing ML pipelines, from preprocessing to deployment;
• Familiarity with testing and debugging in ML and backend contexts.
• Excellent communication and collaboration skills, with the ability to work closely with cross-functional teams

Nice to Have:

• Knowledge of RESTful APIs and API design principles;
• Familiarity with DevOps practices, CI/CD pipelines, and version control systems such as Git;
• Awareness of ethical considerations in AI/ML development;
• Experience working in an agile development environment with tools like JIRA or similar

What you'll do:
 

• Conceptualization, design, and implementation of cloud infrastructures for machine learning and AI models (focus on LLM-based applications);
• Transitioning proof-of-concepts into production-ready applications;
• Further development, optimization, and operation of applications in the fields of machine learning, artificial intelligence, and generative AI

Recruitment process:

1. Pre-screening Interview with Recruiter (around 40 minutes);

2. Tech-Interview ( 1 hour);

3. Client-Tech Interview (30 minutes)

The Role:

We are looking for an experienced Computer Vision Engineer to develop and optimize an autonomous navigation system for UAVs. You will be responsible for developing a solution based on visual-inertial odometry methods in GNSS-denied environments.

Must have skills:
● 5+ years of commercial experience in Computer Vision and Machine Learning preferably in UAVs, robotics, or autonomous systems
● Proficiency in Python
● Experience with OpenVINS
● Experience with such frameworks as TensorFlow and OpenCV, YOLO or PyTorch
● Experience with visual-inertial odometry, camera position estimation, detection and tracking of visual features of static objects
● Understanding of key performance-defining metrics of computer vision algorithms
● Familiarity with AirSim, Gazebo or other simulation software
● Experience with different footage formats: RGB, greyscale, infrared, thermal
● Experience in deploying and optimizing models for single-board computers such as Raspberry Pi, Nvidia Jetson
● Familiarity with UAVs, their typical on-board real-time CV pipelines
● Familiarity with drone flight control principles
● Experience with deep learning, neural networks and CNN
● Intermediate level of English

Nice to have skills:

● Understanding of Kalman filtering and sensor fusion techniques
● Familiarity with Linux
● Familiarity with the MAVLink protocol and ArduPilot
● Experience with Google Coral AI accelerator or other edge TPUs
● Experience with geospatial data processing and GIS tools (e.g., GDAL, Rasterio, QGIS)

Your responsibilities:

● Develop, train, and optimize computer vision models for an autonomous UAV navigation system based on visual-inertial odometry and other methods
● Collaborate with UAV and embedded engineers for deploying CV models to hardware
● Develop model performance metrics for evaluating model accuracy and inference
● Perform flight simulation, participate in field testing and flight data analysis to validate model performance
● Optimize the models for various weather and lighting conditions (including night time) as well as a range of UAV flying speeds/heights with the focus on result reproducibility
● Utilize geospatial data for real-time updating of estimated UAV position

🪄 Your Mission:
Leverage state-of-the-art LLM technologies (GPTs, Gemini, Claude, open-source LLMs, RAG systems, and agents) to rapidly prototype, deploy, and continuously improve AI-driven features, directly impacting our customers.

⚡ What you’ll do:
• Rapidly prototype, test, and launch solutions powered by modern LLMs - from ideas to production at startup speed.
• Iterate quickly based on user feedback and analytics - continuously improving solutions.
• Experiment proactively with emerging technologies (RAG, agents, prompt engineering tricks, fine-tuning) to solve practical problems.

💡 We’re looking for someone who:
• Has 3-5 years of commercial experience in software engineering, data science, or AI-driven development.
• Has solid Python skills - comfortable scripting, prototyping, and deploying quickly.
• Had hands-on experience with modern LLM frameworks, APIs, and tools (LangChain, LlamaIndex, OpenAI API, Hugging Face ecosystem).
• Understands or is eager to learn prompt engineering, fine-tuning, retrieval-augmented generation (RAG), and agent-based AI.
• Is highly motivated by practical results, rapid experimentation, and iterative development.

🌟 Bonus Points if you:
• Have deployed apps/services leveraging APIs, cloud infrastructure, Docker, Kubernetes, or related DevOps tooling.
• Actively participate in the AI community - hackathons, Kaggle competitions, side projects.
• Have experience optimizing LLM performance - speed, accuracy, costs.

 

AI/ML Engineer Job Description

Responsibilities:

• Design and implement cutting-edge audio restoration tools, utilizing and expanding upon state-of-the-art techniques (e.g., diffusion models).
• Develop and deploy machine learning models for tasks such as audio classification, restoration, and sound separation.
• Work with PyTorch and C++ to integrate models into existing software frameworks.
• Optimize model performance for both compute resources and latency.
• Stay abreast of current research in audio and machine learning and implement relevant research papers.
• Collaborate with cross-functional teams to gather feedback and improve models and user experience.

Qualifications:

• Strong experience in training and fine-tuning diffusion models
• Comfort with taking on a project involving fine-tuning models similar to those found in https://github.com/multimodal-artprojection/YuE/tree/main
• Proven ability to design and implement machine learning models for audio processing tasks.
• Experience with PyTorch and C++
• Ability to optimize models for both performance and resource constraints
• Familiarity with current research in audio and machine learning
• Excellent collaboration and communication skills

Preferred:

• Experience with audio restoration and sound separation tasks
• Experience with deploying machine learning models in real-time applications
• Knowledge of audio processing techniques and tools

Join Veido, a boutique software development and consulting firm at the forefront of digital engineering and enterprise modernization. We’re on the hunt for a talented Senior AI Data Scientist ready to tackle challenges in a high-tech environment.

About Us:

Veido, established in 2012, empowers industries with transformative digital solutions. Our portfolio spans AI & ML applications, cloud migrations, and enterprise modernization, SaaS products, impacting over 1 million users.

About Role:

You will be working day-to-day with world class Big Data Engineers and Data Scientists on taking the current AI Intent Marketing Product to next level. You will be responsible for working with data on day-to-day and coming up with new ways on how to improve and reshape the product.  More details to be shared.

Responsibilities:

• Building models for Marketing Intent Analysis
• Improving existing algorithms and build new Proofs of Concept
• Delivering real impact to the products through rigorous data-driven solutions
• Able to test multiple PoCs and improve model to improve accuracy as the Data Quality / AI Decisions is the core
• Researching and then delivering PoCs into data products
• Collaborating with product owners, engineers, and data scientists to continually solve complex data problems
• Follow Clean Code principles to ensure maintainable and scalable code.
• Follow modern security guidelines and best practices.

Requirements:

• Experience working in a data science team in Marketing/AdTech domain.
• A Bachelor's/Master's/PhD in STEM (Mathematics, Computer Science, Engineering)
• Excellent knowledge of data science tools, including, python coding, SQL and production tools
• A big-picture mindset to correctly diagnose problems, produce research, and discover solutions
• Excellent communication and collaboration skills to partner with Product Owners and business heads
• Strong problem-solving and facilitation skills.
• Familiarity with modern security practices in application development.
• Intermediate English proficiency.

Tech you will be working with:

• Python
• Trino / Spark
• Various Python packages for model training

We Offer:

- Competitive salary aligned with your experience.

- Professional growth in a leadership-nurturing environment.

Embark on a journey with Veido, where your development skills will shape the future of digital solutions. If you’re driven by innovation and seek a role where your work makes a tangible impact, let’s connect.

About Veido

Veido is a custom software boutique firm. We participate in development of the most ambitious IT projects for web and mobile platforms and looking for talented and idea driven team members to take part in these projects. Some of these are used by US government agencies and making impact on hundred thousand people every day.

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

We are looking for a Head of AI  to join our team.

Requirements:

• Head or Engineering Manager experience is a must (team of 20+ members)
• Experience within a leadership role where you have proven success with building and maintaining teams
• 5+ years of hands-on experience designing and implementing machine learning models at internet scale
• High level experience in AI/ML fundamentals
• Strong background in software
• Up-to-date knowledge of AI/ML technologies and their trends, including various libraries and tools
• Built feature stores and auto ML capabilities
• End to end ML work and deploying of models
• Knowledge of how full stack SaaS products work, scale and perform
• Commercial experience building architecture on AWS
• Expertise with cutting edge technologies such as transfer learning, unsupervised feature generation, meta-learning, generative text models, computer vision, sensor fusion, or reinforcement learning
• Proficient in deep programming to implement solutions in production
• Advanced data science and mathematical skills (e.g. PhD in computational modeling, machine learning, statistics, computer science)
• Experience with modern databases, cloud environments, and data ecosystems
• Experience defining and leading large-scale projects with multiple stakeholders
• Spoken Ukrainian/Russian C1, English B2+ are mandatory

Responsibilities:

• Driving technical and technological initiatives and innovations for the AI area;
• Strategic and tactical planning for the AI products and projects development and evolving;
• Overseeing, planning and developing resources and structures used for the AI products and projects;
• Managing and evolving technical processes, flaws and instruments needed for effective operating of the AI teams;
• Being on the cutting edge of technological innovations, the needs of the market and the company’s specifics, and providing technical solutions for existing and future AI projects and products;
• Mentoring, training and leading AI technical and engineering teams towards technical expertise and excellence;
• Leading and supporting AI technical and engineering teams in planned projects and technical innovations implementation;
• Representing the AI technical teams to the business and the business to the technical teams as an effective information and communication bridge;
• Conducting technical recruiting interviews for candidates for Tech/Team Lead, Engineering Manager/Head positions

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

We are seeking a skilled ML/MLOps Engineer with expertise in building and optimizing data pipelines, deploying models, processing large datasets, and handling large-scale text data. The ideal candidate should have knowledge of ETL processes and experience deploying deep learning models on various platforms (e.g., Vertex real-time endpoints, Vertex batch processing, Nvidia Triton, ONNX, and Dataflow), along with familiarity with different batch processing workflows and building ML pipelines using Kubeflow.

Experience:

- Over 5 years in data engineering with a strong focus on building and managing data pipelines.

- Proven experience in deploying machine learning models and pipelines.

- Expertise in dataset preparation, curation, and quality management.

- Experience working with large-scale text data.

- Prior collaboration with modeling teams.

- Hands-on experience with Google Cloud Platform (GCP) services, including Vertex AI, BigQuery, Kubeflow, Dataflow, Cloud Storage, and other GCP services.

Required:

- Proficiency in Python and SQL.

- Experience with cloud AI platforms, e.g., Vertex AI.

- Familiarity with big data frameworks like Dataflow.

- Strong knowledge of ETL and data pipelines.

- Experience with workflow orchestration tools (e.g., Kubeflow, Airflow, Cloud Composer).

- Familiarity with databases (e.g., MySQL and MongoDB).

Nice to have:

- Knowledge of text processing libraries and NLP frameworks (e.g., NLTK, SpaCy, and Regex).

- Familiarity with concepts, developments, and tools in the LLM ecosystem (e.g., Instructor, Pydantic, Langchain, Embeddings, and Vector DBs).