Jobs

160
  • Β· 69 views Β· 7 applications Β· 3d

    AI Researcher

    Full Remote Β· Countries of Europe or Ukraine Β· 2 years of experience Β· Intermediate
    Our company Strikersoft with offices in Kyiv, Stockholm, Bucharest and 13 years history, is expanding the team and looking for an Engineer interested in Artificial Intelligence for an AI solution for Healthcare. 1. Project description Strikersoft is...

    Our company Strikersoft with offices in Kyiv, Stockholm, Bucharest and 13 years history, is expanding the team and looking for an Engineer interested in Artificial Intelligence for an AI solution for Healthcare.

     

    1. Project description

    Strikersoft is advancing its Edge AI research program with exciting projects planned for the next five years. We aim to develop an effective system for rescue missions in natural and man-made disasters. Our goal is to create a highly effective solution that integrates vital health data from contactless technologies like camera etc.

    Join us in shaping the future of disaster response with innovative technology that makes a real difference.

     

    2. Your Role

    As an Engineer in our cross-country team, you will focus on AI model development and integrating software algorithms into FPGA prototypes. You will collaborate continuously with a professor’s team at KTH, the Royal Institute of Technology (Stockholm, Sweden). 

     

    Your responsibilities will include:

    • Representing Strikersoft within the KTH and Sweden consortium, by offline/online communication and reporting.
    • Participating in educational activities at KTH.
    • Developing AI software in close collaboration with other members of the Strikersoft IoT/AI lab.
    • Contributing to Strikersoft’s knowledge base, including code repositories, technical documentation, and scientific papers.
    • Driving innovation and sharing your expertise with lab members.
    • Forming and managing a proprietary dataset to support AI model development.

     

    Place:β€―The role is positioned in Kista (Stockholm, Sweden) at Strikersoft and with active collaboration with your project colleagues at KTH Royal Institute of Technology in Kista and Strikersoft’s R&D team.
    We are considering candidates both in Ukraine and Stockholm or other countries who can travel at least once a month to Kista (Stockholm, Sweden).

     

    3. Your skills and experience

    We are looking for an Engineer with a strong interest in AI, mathematics, computer science and scientific aspects of these subjects. You have a master’s degree computer science and/or electrical engineering or equivalent.

    Your strength lies in seeing the big picture specific to use cases and customer focus. You are thorough with a mindset of delivering quality over quantity, as well as having strong communication skills. As a person you are driven, eager to develop yourself further and, team focused.

     

    During the recruiting process, candidates will be assessed upon their abilities below:

    • Effective collaboration with others while maintaining the ability to work autonomously and seek support or guidance as needed.
    • Maintaining a professional approach in all aspects of work.
    • Ability to meet deadlines consistently while managing time effectively.
    • Proactive Risk Management β€” identifying and escalating risks early to ensure timely resolution and avoid potential issues.
    • Can analyse and work with complex issues.
    • Have a strong background in mathematics, digital design, hardware description languages and machine learning algorithms.
    • Open-Source Development.
    • Programming languages such as Python, C++, VHDL/Verilog
    • Mandatory to write and speak English well.

     

    4. What you will be a part of

    KTH Royal Institute of Technology in Stockholmβ€―is the Swedish coordinator for these projects. KTH makes the HW framework for silicon chip production based on their SiLago framework. Strikersoft works very close with KTH. KTH is one of Europe’s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. KTH is Sweden’s largest technical research and learning institution and home to students, researchers, and faculty from around the world. The research and education cover a wide area including natural sciences and all branches of engineering, as well as architecture, industrial management, urban planning, history and philosophy.

    Chips Joint Undertaking (Chips JU) is a European partnership program under Horizon Europe and a further development and expansion of Key Digital Technologies JU. The main task of the program is to implement the European Chips Act, which will strengthen Europe’s competitiveness in semiconductor technologies for Edge AI applications. The program contains many multi-international, multi partner projects.

     

    5.β€― What we offer

    • The possibility to study and work in a dynamic and international research environment in collaboration with industries and prominent universities from all over Europe.

       

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  • Β· 93 views Β· 13 applications Β· 2d

    AI/ML Engineer

    Full Remote Β· Countries of Europe or Ukraine Β· 1 year of experience Β· Intermediate
    We are looking for a Machine Learning Engineer to help us deploy, configure, and optimize Mistral 7B, integrate it into our services, and implement Retrieval-Augmented Generation (RAG) for database interactions. Key Responsibilities: Configure and...

    We are looking for a Machine Learning Engineer to help us deploy, configure, and optimize Mistral 7B, integrate it into our services, and implement Retrieval-Augmented Generation (RAG) for database interactions.


    Key Responsibilities:

    • Configure and optimize Mistral 7B for business tasks (fine-tuning, quantization, performance optimization).
    • Assess required computational resources, select the optimal infrastructure for model deployment (on-premise or cloud), and analyze cost efficiency.
    • Implement RAG to integrate models with vector databases.
    • Orchestrate interactions between multiple ML services (e.g., one model generates tags, and another validates task descriptions).
    • Develop a service for interacting with the model (API for predictions, model management, integration with our application).
    • Optimize model performance for real-world usage.

     

    Requirements:

    • Experience with LLM models (Mistral 7BGPT-3/4LLaMAClaudeFalconBloom, etc.).
    • Understanding of Retrieval-Augmented Generation (RAG) and model integration with databases.
    • Hands-on experience with fine-tuning and dataset preparation/annotation.
    • Experience with vector databases (Pinecone, Weaviate, FAISS).
    • Strong proficiency in Python and libraries like PyTorch, TensorFlow, Hugging Face, and LangChain.
    • Experience in evaluating and optimizing infrastructure for AI deployments.
    • Experience in developing APIs for integrating AI models into business processes.

     

    We offer:

    • Regular result-based salary reviews;
    • Comfortable working hours (10-19 Kyiv time zone);
    • Bonus system;
    • Established product-focused environment;
    • Range of tasks, from quick and simple to challenging investigation to run;
    • Cheerful & dynamic environment;
    • Friendly and open-minded team;
    • Virtual workspace with perspective to move into one of the offices;
    • Mentorship;
    • Attractive social package (unlimited and paid sick days, fully paid vacation, birthday day off, etc;)
    • Sport and English classes discounts.

     

    Hiring steps:

    • 1st interview with the Recruiter;
    • Technical interview with the Squad Lead;
    • Job offer.
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  • Β· 16 views Β· 3 applications Β· 2d

    Middle AI/ML Engineer

    Ukraine Β· 4 years of experience Β· Upper-Intermediate
    We are seeking an AI Engineer to join one of our customers’ teams. This position will play a key role in applying state-of-the-art machine learning and AI techniques to enhance automated accessibility testing, drive intelligent analysis of scan results,...

    We are seeking an AI Engineer to join one of our customers’ teams. This position will play a key role in applying state-of-the-art machine learning and AI techniques to enhance automated accessibility testing, drive intelligent analysis of scan results, and develop algorithms that add value to their product suite. The AI Engineer will work to build scalable ML systems that integrate into the client's core products, ensuring they are robust, ethical, and aligned with the client’s mission of digital equality.

    The ideal candidate would have experience deploying ML models in production environments, preferably in the domains of computer vision, and NLP. An understanding of supervised and unsupervised learning, model evaluation, data science, and responsible AI principles is essential. Prior work in accessibility or web technologies is a plus.
     

    Requirements:
     

    • 3+ years of experience in machine learning or AI engineering, with a strong focus on deploying models in production environments.
    • Proficiency with Python and common ML libraries such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face Transformers.
    • Experience building and maintaining scalable ML infrastructure
    • Strong back-end engineering skills, including designing APIs, integrating with cloud services, and building infrastructure to support ML workflows.
    • Hands-on experience with data engineering tools and workflows (e.g., AWS Glue, Athena, Spark, or similar).
    • Strong understanding of model lifecycle management, including training, evaluation, deployment, and monitoring in real-world systems.
    • Familiarity with web technologies (HTML, CSS, JavaScript) and an interest in digital accessibility.
    • Excellent communication skills, with the ability to explain complex ML concepts to both technical and non-technical audiences.
    • At least Upper Intermediate English level.

       

    Nice to Have

    • Computer Vision, NLP.
    • Docker & AWS.
    • Accessibility knowledge.
       

    Responsibilities:
     

    • Process and collect data for AI systems, create and maintain data pipelines for developing and deploying AI algorithms at scale.
    • Research the state of the art in AI/ML and creatively apply it to our mission of digital equality.
    • Design and develop algorithms using AI/ML to enhance our product suite and increase automation.
    • Contribute to technical documentation and share findings with stakeholders through demos, presentations, and reports.
    • Evaluate algorithm performance using rigorous statistical and domain-relevant metrics, iterating for continual improvement.
    • Participate in code reviews, team planning, and cross-functional collaborations to ensure high engineering standards.
       

    We offer:
     

    • Annual paid vacation of 18 working days.
    • Extra vacation days for long-lasting cooperation.
    • Annual paid sick leave of 10 days.
    • Maternity/Paternity leave.
    • The opportunity for sabbatical leave.
    • Marriage and Parenthood Package.
    • Compensation for sports activities (up to 250$ per year) or health insurance covering (70%) β€” after the trial period.
    • Internal education (corporate library, Udemy courses).
    • Career development plan.
    • English and Spanish classes.
    • Paying taxes and managing PE (Private Entrepreneur).
    • Technical equipment.
    • Internal Referral program.
    • Opportunity to take part in company volunteering activities.
    • Sombra is a β€œFriendly to Veterans” award-holder.

       

    If you believe you are a suitable candidate for this position, please attach your updated resume using the provided link.
    Our recruitment team will review your profile, and if it aligns with our current job openings, we will contact you shortly. If you don’t receive a reply from us within 5 business days, it means we have decided to move forward with other candidates.
    Thank you for understanding.

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  • Β· 26 views Β· 13 applications Β· 2d

    AI Engineer (LLMs, Python) in UK marketplace for events

    Full Remote Β· EU Β· Product Β· 5 years of experience Β· Upper-Intermediate
    The best way to have an exciting and unique experience at sports and music events is with official hospitality packages and VIP tickets. The company is currently searching for an AI Engineer for full-time remote. Company β€” a trusted online marketplace...

    The best way to have an exciting and unique experience at sports and music events is with official hospitality packages and VIP tickets.

    The company is currently searching for an AI Engineer for full-time remote.
    Company β€” a trusted online marketplace where fans can buy and sell official hospitality packages and VIP tickets to live sports, music, and cultural events.

    You’ll help shape the future of customer-facing AI applications, from conversational sales agents to real-time support copilots, transforming how fans discover, explore, and purchase unforgettable live event experiences.

    Company has:
    β€” Excellent rating on Trustpilot (4.9),
    β€” Partnerships with the best clubs, venues, and artists,
    β€” Traffic of around 280K monthly unique users per month and growing fast,
    β€” Currently focussed on the UK market, but poised to enter European markets in the near future.

    Must have experience in Python web-development with modern tools and frameworks, experience with practical LLM implementation, with RAG and vector databases.
    Will be a huge plus: AWS toolset (especially ML-ones) experience.

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  • Β· 18 views Β· 7 applications Β· 2d

    Lead AI Engineer

    Full Remote Β· Worldwide Β· 5 years of experience Β· Upper-Intermediate
    OTAKOYI is looking for a smart and eager Lead AI Engineer to join our project team. We like challenges and self-development. If you like it too, don’t hesitate, join us! Our Partner has an advanced, enterprise-grade agentic AI platform that centralizes...

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

    Our Partner has an advanced, enterprise-grade agentic AI platform that centralizes intelligence, knowledge, and task automation across ecosystem. Built to enhance productivity, orchestrate complex workflows, and provide proactive insights, it is more than a chatbotβ€”it’s an AI-powered front-end for the company's digital transformation. The platform also underpins another application known as Studio AI, for which this role will also be responsible. 

    This is a pivotal role, responsible for defining and executing the long-term AI strategy, owning system architecture, and providing strong technical direction to evolve the platform. If you have a passion for building transformative AI solutions, excel in strategic thinking, and thrive in taking architectural ownership β€” this role offers the opportunity to make a lasting impact. 
    The ideal candidate will bring a unique mix of visionary thinking, deep technical expertise, and hands-on experience, capable of driving Navigator and Studio AI’s next phase of innovation through technical leadership and architectural excellence. 

    Required Skills 

     

    • Deep AI Expertise: Deep knowledge of machine learning techniques, NLP, LLMs, and data-driven AI architectures, with hands-on experience designing and deploying complex AI systems; 
    • AI Tech Stack: Proficiency with AI development tools and frameworks such as Azure ML, PyTorch, TensorFlow, LangChain, and transformer-based models; 
    • Cloud Infrastructure: Advanced experience with Azure-based cloud ecosystems and Kubernetes-based orchestration for scalable AI workloads; 
    • Production-Grade AI Systems: Experience with vector search (e.g., Milvus), real-time APIs, embedded analytics, and third-party integrations (e.g., MS Graph API, Copilot Studio); 
    • System Design and Architecture: Expertise in designing scalable, secure, and fault-tolerant AI systems, including familiarity with microservices, API management, and real-time data processing;
    • Technical Communication: Ability to clearly articulate architectural decisions, technical trade-offs, and AI roadmaps to cross-functional stakeholders;
    • Strategic Mindset: Strong analytical and strategic thinking skills, with the foresight to anticipate future AI trends and an understanding of how to apply them to a multi-functional platform like Navigator; 
    • Upper-Intermediate level of English is mandatory. 

      Preferred Skills 

     

    • Industry Experience: Experience within a large, matrixed organization, 
      preferably in technology or a related industry; 
    • Experience with AI-driven Multi-Modal Systems: Knowledge of systems integrating chat, voice, visual data, and embedded dashboards is a plus; 
    • Enterprise AI Context: Familiarity with compliance, governance, and scalability considerations in deploying AI in enterprise environments;
    • Project Management: Experience with prioritization and execution in agile settings (without direct team ownership). 

     

    Responsibilities 

     

    • Vision & Strategy: Develop and continuously refine the long-term vision , driving innovation, user-centricity, and strategic alignment with Company's broader business goals; 
    • AI & System Architecture: Lead the design and development of AI-driven architecture, ensuring scalability, robustness, and cutting-edge technology integration across ML, NLP, data pipelines, and automation components; 
    • Cross-Functional Collaboration: Partner closely with stakeholders from product, design, engineering, and business units to ensure Navigator’s roadmap aligns with business needs and delivers tangible value across Company; 
    • Platform Innovation: Keep Navigator at the forefront of technology by 
      incorporating emerging trends in agentic AI, multi-modal interfaces, generative AI, and autonomous orchestration; 
    • Quality & Performance Optimization: Establish benchmarks for platform performance, reliability, and security. Regularly review and refine Navigator’s core systems to ensure peak performance and user satisfaction; 
    • User Experience Focus: Drive a user-first approach, ensuring that Navigator’s functionality and interface support intuitive and seamless interactions for Company's employees, partners, and customers; 
    • Vendor & Technology Management: Evaluate and manage strategic relationships with third-party vendors, especially in areas like NLP, Microsoft integrations (e.g., Copilot), and cloud infrastructure (Azure), to leverage the best available technology. 
       

    Recruitment process 

    1. Pre-screening Interview with Recruiter (up to 45 minutes) 
    2. Tech Interview (up to 1,5 hour) 
    3. Client Interview (up to 45 minutes) 

     


     


     

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  • Β· 11 views Β· 0 applications Β· 2d

    Senior AI/ML Engineer

    Ukraine Β· 5 years of experience Β· Upper-Intermediate
    Conduct the development of AI and ML components for an intelligent chatbot and search platform, ensuring robust data pipelines, efficient search capabilities, and LLM integration. Requirements: 5+ years of experience in AI/ML engineering, including...

    Conduct the development of AI and ML components for an intelligent chatbot and search platform, ensuring robust data pipelines, efficient search capabilities, and LLM integration.
     

    Requirements:
     

    • 5+ years of experience in AI/ML engineering, including real-world production systems.
    • Strong Python skills (Pandas, NumPy, FastAPI, Langchain, etc.).
    • Proven experience with LLMs (e.g., OpenAI, AWS Bedrock) and prompt engineering.
    • Hands-on experience with vector databases PGVector (Postgres).
    • Solid background in NLP, embeddings, and semantic search.
    • Experience building ETL pipelines for diverse data sources (APIs, SQL, documents, images).
    • Familiarity with unstructured data processing and metadata handling.
    • Experience deploying ML models in Docker-based environments.
    • Understanding of role-based access and personalized recommendations.
    • Strong collaboration skills and ability to lead technical decisions across teams.
    •  English-Upper-Intermediate.
       

    Responsibilities:
     

    • Review and evaluate existing data sources and structures.
    • Design and implement ETL pipelines for structured and unstructured data.
    • Generate embeddings, build and maintain vector databases.
    • Integrate and optimize similarity search and ranking algorithms.
    • Fine-tune and manage LLM prompts for chatbot interactions.
    • Develop logic for user intent detection and contextual response generation.
    • Collaborate with the engineering team on deployment, API integration, and testing.
    • Design feedback loops for continuous model improvement.
    • Ensure role-based access, metadata tracking, and performance optimization.
    • Deliver production-ready, scalable, and maintainable AI/ML solutions.
       

    We offer:
     

    • Annual paid vacation of 18 working days.
    • Extra vacation days for long-lasting cooperation.
    • Annual paid sick leave of 10 days.
    • Maternity/Paternity leave.
    • The opportunity for sabbatical leave.
    • Marriage and Parenthood Package.
    • Compensation for sports activities (up to 250$ per year) or health insurance covering (70%) β€” after the trial period.
    • Internal education (corporate library, Udemy courses).
    • Career development plan.
    • English and Spanish classes.
    • Paying taxes and managing PE (Private Entrepreneur).
    • Technical equipment.
    • Internal Referral program.
    • Opportunity to take part in company volunteering activities.
    • Sombra is a β€œFriendly to Veterans” award-holder.
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  • Β· 146 views Β· 45 applications Β· 2d

    ML (Python) Developer

    Full Remote Β· Worldwide Β· 0.5 years of experience Β· Intermediate
    We are a global product development company building scalable, long-lasting solutions in Fintech, Healthcare, E-commerce and SaaS. We turn complex challenges into stable, user-friendly and impactful products through long-term partnerships and a strong...

    We are a global product development company building scalable, long-lasting solutions in Fintech, Healthcare, E-commerce and SaaS. We turn complex challenges into stable, user-friendly and impactful products through long-term partnerships and a strong engineering culture.

    We’re looking for a AI Engineer to join a data analytics project focused on developing machine learning solutions for image and document processing.

    πŸ”§ What you’ll be working on:

    • Assist in building and fine-tuning ML models for tasks such as OCR, NLP, and computer vision
    • Work with embeddings and language models (LLMs) for solving real-world data processing challenges
    • Support the development of AI pipelines and tools used by the team
    • Collaborate with data scientists and backend engineers in an Agile environment.

      βœ… What we’re looking for:

    • 0.5+ years of hands-on experience or internships in ML/AI projects
    • Basic knowledge of machine learning concepts and model evaluation
    • Familiarity with Python and popular ML libraries (e.g., scikit-learn, PyTorch, TensorFlow)
    • Interest or initial experience in working with LLMs, vector databases, or document/image processing
    • Eagerness to learn and grow in a supportive team environment

      🌍 What we offer:

    • Work on real-world AI/ML projects with guidance from experienced mentors
    • Support for professional development: learning resources, workshops, and peer feedback
    • Collaborative international teams with a strong engineering culture
    • Culture built on quality, ownership, and trust
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  • Β· 30 views Β· 9 applications Β· 2d

    Senior Machine Learning Engineer

    Full Remote Β· Countries of Europe or Ukraine Β· 5 years of experience Β· Upper-Intermediate
    We are looking for a Machine Learning Engineer who will have the ability to put their models in front of millions of users across different parts of the world. The client offers opportunities to innovate in visual communication, collaborate with major...

    We are looking for a Machine Learning Engineer who will have the ability to put their models in front of millions of users across different parts of the world. The client offers opportunities to innovate in visual communication, collaborate with major brands, and impact millions of users worldwide. Ideal for those passionate about media, tech, and creative expression.

    You will work with terabytes of user-generated data logs, which enable continuous service improvements. 

    The primary focus will be on Learning to rank algorithms and candidate generation for algorithms, A/B test analysis, data preprocessing, and content tools. It's the ability to impact how the core product works.


    About the project

     

    As part of the client's ads serving and management system transformation effort, we are looking for a skilled team player to join our agile product team. This role is crucial in enhancing our systems and ensuring we stay at the forefront of technological developments.

    As a valuable team member, you will have the opportunity to contribute to product development. Your expertise and input will be crucial in the ads management system's successful acceptance by users, accelerating company business processes, and influencing relations with clients and investors.
     

    Skills & Experience:

    • Information Retrieval (multimodal search and recommendations)
    • Deep Learning and Contrastive learning in particular, Classical ML
    • Experience with PyTorch or similar libraries
    • Experience of using Gradient Boosting for Learning to Rank
    • Ability to work with datasets that don’t fit in RAM
    • Understanding of A/B testing principles
    • Back-End Engineering using Python
    • High-load experience will be a plus
    • Good written and spoken English.

     

    Nice to have

    •  Kaggle Profile
    • Experience in building/working on extremely high throughput systems (1000+ QPS) 
    • Experience with PySpark, Spark, and Scala
    • Master’s Degree in Computer Science or related area.
    • Published ML papers
    • Experience with PySpark, Spark, and Scala

     

    Responsibilities: 

    •  Design, develop, and deploy machine learning models to enhance the product’s search and recommendation systems. 
    • Optimize algorithms for content discovery, personalization, and relevance, leveraging computer vision and natural language processing to improve GIF and sticker search accuracy. 
    • Collaborate with cross-functional teams to integrate ML solutions into the platform, ensuring scalability and performance. 
    • Analyze user data to drive insights and enhance user experience.

     

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  • Β· 21 views Β· 2 applications Β· 1d

    AI/ML Engineer (RAG, LLMs, Generative AI)

    Full Remote Β· Countries of Europe or Ukraine Β· Product Β· 3 years of experience Β· Upper-Intermediate
    We’re Revenue Grid – a product-based SaaS company recognized globally for our cutting-edge Revenue Intelligence Platform. We're expanding our AI team and looking for a Middle AI/ML Engineer passionate about LLMs, RAG pipelines, and Generative AI. You'll...

    We’re Revenue Grid β€“ a product-based SaaS company recognized globally for our cutting-edge Revenue Intelligence Platform. 

    We're expanding our AI team and looking for a Middle AI/ML Engineer passionate about LLMs, RAG pipelines, and Generative AI. You'll work on solutions that will shape the future of sales automation for thousands of users across the US market. 

    You’ll join a compact and experienced Generative AI R&D team led by engineers with backgrounds in ML research, MLOps, and SaaS product development. We value ownership, autonomy, and continuous learning. 

     

    Responsibilities 

    • Design and optimize AI-powered solutions for real-time sales workflow automation. 
    • Build MVPs, PoCs, and experimental features using LLMs and generative tools. 
    • Collaborate with senior engineers and product teams to identify high value use cases. 
    • Contribute to innovation culture and share learnings within the AI team. 

     

    Must have 

    • Solid Python skills and deep understanding of LLMs / Transformers. 
    • Experience with RAG pipelines, ReAct agents, or working with APIs like OpenAI, Cohere, etc. 
    • Hands-on experience with FastAPI, SQLAlchemy, and cloud platforms (AWS, GCP, or Azure). 
    • Portfolio of ML work (e.g., GitHub repos, Kaggle profile, or research publications). 
    • Product-oriented mindset and ability to work in a fast-paced environment. 

     

    Nice to have 

    • Familiarity with LangChain, MLOps, or Apache Kafka. 
    • Experience in SaaS or B2B product companies. 
    • Contributions to open-source AI/ML projects. 

     

    What we offer 

    • Remote-first culture with flexible hours and async-friendly communication. 
    • Unlimited vacation (really!) and focus on work-life balance. 
    • Medical insurance after the trial period. 
    • No micromanagement or bureaucracy – we trust our people. 
    • Opportunity to grow in AI/ML product development and shape real impact. 

     

    Want to join our mission to revolutionize sales through Generative AI? 
    Apply now – we’d love to talk! 

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  • Β· 26 views Β· 3 applications Β· 1d

    Lead Al/ML Engineer to $5750

    Full Remote Β· Countries of Europe or Ukraine Β· Product Β· 2 years of experience
    #Al/ML Engineer specialist #remote #4-5750 $ with experience in the field of artificial intelligence and machine learning, who will be able to improve our digital solutions, strengthen the automation of loan issuance processes, as well as improve risk...

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

    Requirements:

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

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

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

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

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  • Β· 9 views Β· 0 applications Β· 1d

    Trainee C/C++ Engineer in Telecom/RAN (Wroclaw) IRC268316

    Office Work Β· Poland Β· Upper-Intermediate
    Description As a part of GlobalLogic RAN Academy program you will get knowledge of LTE/5G RAN foundamentals, standards and technologies which enable cutting-edge telecommunication products. You will get crucial knowledge needed to become a successful...

    Description

    As a part of GlobalLogic RAN Academy program you will get knowledge of LTE/5G RAN foundamentals, standards and technologies which enable cutting-edge telecommunication products. You will get crucial knowledge needed to become a successful software engineer capable of accepting challenges of end-to-end development of the modern RAN system. You’ll enrich your professional experience via learning, solving challenging tasks and collaborating in the team of peers led by experienced engineers and technical leaders. You will also work on Academy/POC project and get knowledge of practicalities of commercial SDLC, such as Agile ways of working, systems, tools and team processes. We invite you to make first solid steps in your carreer path and join our friendly and dynamic team!
     

    Requirements

    Requirements:
    – hands-on proficiency in C/C++
    – be a confident Linux user
    – have an understanding of Networking principles
    – havea  generic understanding of Radio Access Network (RAN) technologies (i.e. LTE, 5G) and trends (Cloud RAN, Open RAN, etc.)
    – Interest or any experience in embedded/multi-core systems would be a plus
    – Git, Gerrit experience would be a plus
    – Good written and spoken English

    As a result, you will gain:
    – Hands on experience in LTE/5G RAN and L1-L3 protocols development
    – Essentials of 3GPP standards
    – Improve knowledge in Linux, Networking
    – Understanding of Cloud basics (k8s, Docker, etc.)
    – Learn essentials of RAN acceleration (e.g. DPDK, Nvidia CUDA, etc.)
    – Familiarity with the radio network testers and emulators such as Viavi TM500, Keysight, etc.
    – Get basic proficiency in commercial SW development, Agile ways of working, CI/CD principles and tools (e.g. Git, Jira, Jenkins, Confluence, etc.)

     

    Job responsibilities

    – Attend and engage in all training sessions, ask relevant questions, and participate in group discussions to maximize learning
    – Complete all assigned exercises and practical tasks within given deadlines to reinforce theoretical knowledge through hands-on practice
    – Dedicate time to self-study, including reviewing training materials, conducting additional research, and keeping up with industry requirements relevant to the program
    – Contribute to the development of Academy/POC project by actively participating in brainstorming sessions, dividing tasks, and ensuring the timely completion of your portion of the work
    – Take personal initiative to identify areas for improvement and seek out additional learning resources, such as online courses or documentation, to enhance skills in critical areas
    – Maintain clear and open communication with instructors and peers, providing constructive feedback, and reporting progress or challenges regularly
    – Follow the training schedule, adhere to the rules and code of conduct of the program, and meet deadlines for all tasks and project milestones

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  • Β· 124 views Β· 25 applications Β· 26d

    AI Engineer

    Full Remote Β· Countries of Europe or Ukraine Β· Product Β· 3 years of experience Β· Intermediate
    Π—Π°Ρ…ΠΎΠΏΠ»ΡŽΡ”ΡˆΡΡ AI тСхнологіями, ΠΏΡ€Π°Π³Π½Π΅Ρˆ Π²ΠΏΠ»ΠΈΠ½ΡƒΡ‚ΠΈ Π½Π° Ρ€ΠΎΠ·Π²ΠΈΡ‚ΠΎΠΊ ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚Ρ–Π² ΠΌΠΎΠ½ΠΎ? Π’ΠΎΠ΄Ρ– Ρ‚ΠΎΠ±Ρ– Π΄ΠΎ нас :) Знайомся Π΄Π΅Ρ‚Π°Π»ΡŒΠ½Ρ–ΡˆΠ΅ Π· Π²Π°ΠΊΠ°Π½ΡΡ–Ρ”ΡŽ, відгукуйся, якщо Ρ‚Π²ΠΎΡ”/ΠΏΡ€ΠΎ Ρ‚Π΅Π±Π΅, ΠΌΠΈ Π²ΠΆΠ΅ Π»ΠΎΠ²ΠΈΠΌΠΎ звісточку Нумо Π²Ρ‚Ρ–Π»ΡŽΠ²Π°Ρ‚ΠΈ Π°ΠΌΠ±Ρ–Ρ‚Π½Ρ– Ρ–Π΄Π΅Ρ— Ρ€Π°Π·ΠΎΠΌ! Π¦Π΅ ΠΌΠΈ: mono β€” ΠΌΡƒΠ»ΡŒΡ‚ΠΈΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚ΠΎΠ²Π°...

    Π—Π°Ρ…ΠΎΠΏΠ»ΡŽΡ”ΡˆΡΡ AI тСхнологіями, ΠΏΡ€Π°Π³Π½Π΅Ρˆ Π²ΠΏΠ»ΠΈΠ½ΡƒΡ‚ΠΈ Π½Π° Ρ€ΠΎΠ·Π²ΠΈΡ‚ΠΎΠΊ ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚Ρ–Π² ΠΌΠΎΠ½ΠΎ? Π’ΠΎΠ΄Ρ– Ρ‚ΠΎΠ±Ρ– Π΄ΠΎ нас :) Π—найомся Π΄Π΅Ρ‚Π°Π»ΡŒΠ½Ρ–ΡˆΠ΅ Π· Π²Π°ΠΊΠ°Π½ΡΡ–Ρ”ΡŽ, відгукуйся, якщо Ρ‚Π²ΠΎΡ”/ΠΏΡ€ΠΎ Ρ‚Π΅Π±Π΅, ΠΌΠΈ Π²ΠΆΠ΅ Π»ΠΎΠ²ΠΈΠΌΠΎ звісточку 🐾
     

    Нумо Π²Ρ‚Ρ–Π»ΡŽΠ²Π°Ρ‚ΠΈ Π°ΠΌΠ±Ρ–Ρ‚Π½Ρ– Ρ–Π΄Π΅Ρ— Ρ€Π°Π·ΠΎΠΌ!
     

    Π¦Π΅ ΠΌΠΈ:
    mono β€” ΠΌΡƒΠ»ΡŒΡ‚ΠΈΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚ΠΎΠ²Π° fintech компанія Π· Π£ΠΊΡ€Π°Ρ—Π½ΠΈ. Π†Π· 2017 Ρ€ΠΎΠΊΡƒ ΠΌΡ–Π»ΡŒΠΉΠΎΠ½ΠΈ людСй ΠΌΡƒΡ€ΠΊΠΎΡ‡ΡƒΡ‚ΡŒ Π²Ρ–Π΄ Π½Π°ΡˆΠΈΡ… ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚Ρ–Π²: monobank, Experienza, Base... А Ρ‚Π΅ΠΏΠ΅Ρ€ ΠΌΠΈ запустили Ρ‰Π΅ ΠΎΠ΄ΠΈΠ½ особливий ΠΏΡ€ΠΎΡ”ΠΊΡ‚ Π² ΡƒΠΊΡ€Π°Ρ—Π½ΡΡŒΠΊΠΎΠΌΡƒ e-commerce β€” market by mono. ΠŸΡ€Π°Π³Π½Π΅ΠΌΠΎ створити Ρ‰Π΅ Π±Ρ–Π»ΡŒΡˆΠ΅ для Π½Π°ΡˆΠΎΡ— СкосистСми.
     

    ΠŸΡ€ΠΎ Ρ‚Π΅Π±Π΅:

    - Π³Π»ΠΈΠ±ΠΎΠΊΠΎ Ρ€ΠΎΠ·ΡƒΠΌΡ–Ρ”Ρˆ Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌΠΈ Ρ– ΠΊΠΎΠ½Ρ†Π΅ΠΏΡ†Ρ–Ρ— ML

    - ΠΌΠ°Ρ”Ρˆ досвід використання deep learning для Π²ΠΈΡ€Ρ–ΡˆΠ΅Π½Π½Ρ Π·Π°Π΄Π°Ρ‡ NLP 

    - Π·Π½Π°Ρ”Ρˆ Ρ– Π°ΠΊΡ‚ΠΈΠ²Π½ΠΎ ΠΏΡ€Π°Ρ†ΡŽΡ”Ρˆ Π· Generative AI (Prompt Engineering, Fine-Tuning, RAG)

    - ΠΊΠΎΡ€ΠΈΡΡ‚ΡƒΡ”ΡˆΡΡ Ρ‚Π°ΠΊΠΈΠΌΠΈ сСрвісами, як Amazon Bedrock, OpenAI Π°Π±ΠΎ Anthropic

    - Π±Π΅Π·Π΄ΠΎΠ³Π°Π½Π½ΠΎ Π·Π½Π°Ρ”Ρˆ Python для ML

    - ΠΌΠ°Ρ”Ρˆ Π½Π°Π²ΠΈΡ‡ΠΊΠΈ Π·Π°ΠΏΠΈΡ‚Ρ–Π² Ρ– ΠΌΠ°Π½Ρ–ΠΏΡƒΠ»ΡŽΠ²Π°Π½Π½Ρ Π²Π΅Π»ΠΈΠΊΠΈΠΌΠΈ Π½Π°Π±ΠΎΡ€Π°ΠΌΠΈ Π΄Π°Π½ΠΈΡ… Π·Π° допомогою SQL

    - Π°ΠΊΡ‚ΠΈΠ²Π½ΠΎ ΠΊΠΎΠΌΡƒΠ½Ρ–ΠΊΡƒΡ”Ρˆ Π· ΠΊΠΎΠ»Π΅Π³Π°ΠΌΠΈ Ρ‚Π° ΠΏΡ€ΠΎΡΡƒΠ²Π°Ρ”Ρˆ використанням AI для покращСння процСсів

    Π”ΠΎΠ΄Π°Ρ‚ΠΊΠΎΠ²ΠΎ Π·Π°Ρ†Ρ–Π½ΠΈΠΌΠΎ:

    •  Π΄ΠΎΡΠ²Ρ–Π΄ Π· Ρ‚Π°Π±Π»ΠΈΡ‡Π½ΠΈΠΌΠΈ Π΄Π°Π½ΠΈΠΌΠΈ
       

    Π’Ρ–Π΄ сСбС Π³Π°Ρ€Π°Π½Ρ‚ΡƒΡ”ΠΌΠΎ:

    • Π³Ρ–Π΄Π½Ρƒ Π²ΠΈΠ½Π°Π³ΠΎΡ€ΠΎΠ΄Ρƒ Ρ‚Π° Ρ—Ρ— рСгулярний пСрСгляд Π·Π° Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Π°ΠΌΠΈ
    • Π³Π½ΡƒΡ‡ΠΊΠΈΠΉ Π³Ρ€Π°Ρ„Ρ–ΠΊ Ρ€ΠΎΠ±ΠΎΡ‚ΠΈ Π±Π΅Π· Ρ‚Ρ€Π΅ΠΊΠ΅Ρ€Ρ–Π² Ρ– ΠΏΠ°Ρ€Π°Π½ΠΎΡ—
    • ΠΌΠΎΠΆΠ»ΠΈΠ²Ρ–ΡΡ‚ΡŒ Π³Ρ–Π±Ρ€ΠΈΠ΄Π½ΠΎΡ— Ρ€ΠΎΠ±ΠΎΡ‚ΠΈ Ρ‡ΠΈ ΠΏΠΎΠ²Π½Ρ–ΡΡ‚ΡŽ Π²Ρ–Π΄Π΄Π°Π»Π΅Π½ΠΎ
    • відпустку 18 Ρ€ΠΎΠ±ΠΎΡ‡ΠΈΡ… Π΄Π½Ρ–Π² Π½Π° Ρ€Ρ–ΠΊ (Ρ‡ΠΈ 24 ΠΊΠ°Π»Π΅Π½Π΄Π°Ρ€Π½ΠΈΡ…) + 2 Π΄Π½Ρ– для форс-ΠΌΠ°ΠΆΠΎΡ€Ρ–Π² + 6 Π΄Π½Ρ–Π² для навчання
    • ΠΎΠΏΠ»Π°Ρ‡ΡƒΠ²Π°Π½Ρ– Π΄Π΅ΠΉ-ΠΎΡ„ΠΈ Π·Π° станом здоров’я β€” Π±Π΅Π· SMS Ρ– лікарняних листів
    • ΠΊΠΎΡ€ΠΏΠΎΡ€Π°Ρ‚ΠΈΠ²Π½Ρ– курси Ρ–Π½Π³Π»Ρ–ΡˆΡƒ
    • 100% страхування здоров’я + ΠΏΡ–Π΄Ρ‚Ρ€ΠΈΠΌΠΊΠ° ΠΌΠ΅Π½Ρ‚Π°Π»ΠΎΡ‡ΠΊΠΈ
    • ΠΊΠ°Ρ€Ρ‚ΠΊΡƒ Platinum Π²Ρ–Π΄ monobank Ρ– ΠΏΡƒΠ½Π΄ΠΈΠΊΠΈ Π²Ρ–Π΄ Π½Π°ΡˆΠΈΡ… ΠΏΠ°Ρ€Ρ‚Π½Π΅Ρ€Ρ–Π²


    πŸ‡ΊπŸ‡¦ ΠŸΡ–Π΄Ρ‚Ρ€ΠΈΠΌΡƒΡ”ΠΌΠΎ сили ΠΎΠ±ΠΎΡ€ΠΎΠ½ΠΈ Π£ΠΊΡ€Π°Ρ—Π½ΠΈ власними Π·Π±ΠΎΡ€Π°ΠΌΠΈ, Ρ€ΠΎΠ·Π²ΠΈΠ²Π°Ρ”ΠΌΠΎ ΠΊΡƒΠ»ΡŒΡ‚ΡƒΡ€Ρƒ донатСрства.

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  • Β· 40 views Β· 4 applications Β· 19d

    Π ΠΎΠ·Ρ€ΠΎΠ±ΠΊΠ° Fintech-Π΄ΠΎΠ΄Π°Ρ‚ΠΊΡ–Π² Blockchain, ΠΊΡ€ΠΈΠΏΡ‚ΠΎΠ²Π°Π»ΡŽΡ‚ΠΈ, смарт-ΠΊΠΎΠ½Ρ‚Ρ€Π°ΠΊΡ‚ΠΈ, Solidity (викладання курсу)

    Part-time Β· Full Remote Β· Worldwide Β· Product Β· 1 year of experience
    АкадСмія IT Step ΡˆΡƒΠΊΠ°Ρ” Π²ΠΈΠΊΠ»Π°Π΄Π°Ρ‡Π° для провСдСння курсу "Π ΠΎΠ·Ρ€ΠΎΠ±ΠΊΠ° Fintech-Π΄ΠΎΠ΄Π°Ρ‚ΠΊΡ–Π²". ΠŸΡ€ΠΎΠ³Ρ€Π°ΠΌΠ° ΠΎΡ…ΠΎΠΏΠ»ΡŽΡ” ΠΊΠ»ΡŽΡ‡ΠΎΠ²Ρ– аспСкти Π±Π»ΠΎΠΊΡ‡Π΅ΠΉΠ½-Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³Ρ–ΠΉ, ΠΊΡ€ΠΈΠΏΡ‚ΠΎΠ²Π°Π»ΡŽΡ‚, смарт-ΠΊΠΎΠ½Ρ‚Ρ€Π°ΠΊΡ‚Ρ–Π² Ρ– Ρ€ΠΎΠ·Ρ€ΠΎΠ±ΠΊΠΈ Π½Π° Solidity. ΠšΡƒΡ€Ρ ΠΎΡ€Ρ–Ρ”Π½Ρ‚ΠΎΠ²Π°Π½ΠΈΠΉ Π½Π° ΠΏΡ€Π°ΠΊΡ‚ΠΈΡ‡Π½Π΅ застосування Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³Ρ–ΠΉ Ρƒ...

    АкадСмія IT Step ΡˆΡƒΠΊΠ°Ρ” Π²ΠΈΠΊΠ»Π°Π΄Π°Ρ‡Π° для провСдСння курсу "Π ΠΎΠ·Ρ€ΠΎΠ±ΠΊΠ° Fintech-Π΄ΠΎΠ΄Π°Ρ‚ΠΊΡ–Π²". ΠŸΡ€ΠΎΠ³Ρ€Π°ΠΌΠ° ΠΎΡ…ΠΎΠΏΠ»ΡŽΡ” ΠΊΠ»ΡŽΡ‡ΠΎΠ²Ρ– аспСкти Π±Π»ΠΎΠΊΡ‡Π΅ΠΉΠ½-Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³Ρ–ΠΉ, ΠΊΡ€ΠΈΠΏΡ‚ΠΎΠ²Π°Π»ΡŽΡ‚, смарт-ΠΊΠΎΠ½Ρ‚Ρ€Π°ΠΊΡ‚Ρ–Π² Ρ– Ρ€ΠΎΠ·Ρ€ΠΎΠ±ΠΊΠΈ Π½Π° Solidity. ΠšΡƒΡ€Ρ ΠΎΡ€Ρ–Ρ”Π½Ρ‚ΠΎΠ²Π°Π½ΠΈΠΉ Π½Π° ΠΏΡ€Π°ΠΊΡ‚ΠΈΡ‡Π½Π΅ застосування Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³Ρ–ΠΉ Ρƒ фінансовому сСкторі.

    ΠžΠ±ΠΎΠ²β€™ΡΠ·ΠΊΠΈ:

    • ΠŸΡ€ΠΎΠ²Π΅Π΄Π΅Π½Π½Ρ Π·Π°Π½ΡΡ‚ΡŒ Ρƒ Ρ„ΠΎΡ€ΠΌΠ°Ρ‚Ρ– ΠΎΠ½Π»Π°ΠΉΠ½ Π²Ρ–Π΄ΠΏΠΎΠ²Ρ–Π΄Π½ΠΎ Π΄ΠΎ Π½Π°Π²Ρ‡Π°Π»ΡŒΠ½ΠΎΡ— ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΈ.
    • ПояснСння ΠΊΠΎΠ½Ρ†Π΅ΠΏΡ†Ρ–ΠΉ Π±Π»ΠΎΠΊΡ‡Π΅ΠΉΠ½Ρƒ, смарт-ΠΊΠΎΠ½Ρ‚Ρ€Π°ΠΊΡ‚Ρ–Π² Ρ– ΠΊΡ€ΠΈΠΏΡ‚ΠΎΠ²Π°Π»ΡŽΡ‚ Ρƒ доступній Ρ„ΠΎΡ€ΠΌΡ–.
    • ΠŸΡ€Π°ΠΊΡ‚ΠΈΡ‡Π½Π΅ ΠΊΠ΅Ρ€Ρ–Π²Π½ΠΈΡ†Ρ‚Π²ΠΎ студСнтами Ρƒ створСнні Fintech-Ρ€Ρ–ΡˆΠ΅Π½ΡŒ.
    • ΠžΡ†Ρ–Π½ΡŽΠ²Π°Π½Π½Ρ завдань Ρ– надання Π·Π²ΠΎΡ€ΠΎΡ‚Π½ΠΎΠ³ΠΎ зв’язку.

       

    Π’ΠΈΠΌΠΎΠ³ΠΈ:

    • Досвід Ρ€ΠΎΠ·Ρ€ΠΎΠ±ΠΊΠΈ Fintech-Π΄ΠΎΠ΄Π°Ρ‚ΠΊΡ–Π² Ρ–Π· використанням Π±Π»ΠΎΠΊΡ‡Π΅ΠΉΠ½Ρƒ.
    • Π’ΠΏΠ΅Π²Π½Π΅Π½Π΅ володіння Solidity Ρ‚Π° основами Ρ€ΠΎΠ·Ρ€ΠΎΠ±ΠΊΠΈ смарт-ΠΊΠΎΠ½Ρ‚Ρ€Π°ΠΊΡ‚Ρ–Π².
    • Розуміння ΠΏΡ€ΠΈΠ½Ρ†ΠΈΠΏΡ–Π² Π΄Π΅Ρ†Π΅Π½Ρ‚Ρ€Π°Π»Ρ–Π·ΠΎΠ²Π°Π½ΠΈΡ… фінансів (DeFi) Ρ‚Π° ΠΊΡ€ΠΈΠΏΡ‚ΠΎΠ²Π°Π»ΡŽΡ‚.
    • Досвід Ρƒ ΠΊΠΎΠΌΠ΅Ρ€Ρ†Ρ–ΠΉΠ½Ρ–ΠΉ Ρ€ΠΎΠ·Ρ€ΠΎΠ±Ρ†Ρ– blockchain-Ρ€Ρ–ΡˆΠ΅Π½ΡŒ Π±ΡƒΠ΄Π΅ ΠΏΠ΅Ρ€Π΅Π²Π°Π³ΠΎΡŽ.
    • Вміння доступно ΠΏΠΎΡΡΠ½ΡŽΠ²Π°Ρ‚ΠΈ складні Ρ‚Π΅Ρ…Π½Ρ–Ρ‡Π½Ρ– ΠΊΠΎΠ½Ρ†Π΅ΠΏΡ†Ρ–Ρ—.

       

    Π©ΠΎ ΠΌΠΈ ΠΏΡ€ΠΎΠΏΠΎΠ½ΡƒΡ”ΠΌΠΎ:

    • Π“Π½ΡƒΡ‡ΠΊΠΈΠΉ Π³Ρ€Π°Ρ„Ρ–ΠΊ Ρ€ΠΎΠ±ΠΎΡ‚ΠΈ.
    • ΠšΠΎΠ½ΠΊΡƒΡ€Π΅Π½Ρ‚Π½Ρƒ ΠΎΠΏΠ»Π°Ρ‚Ρƒ.
    • ΠœΠΎΠΆΠ»ΠΈΠ²Ρ–ΡΡ‚ΡŒ Π²ΠΈΠΊΠ»Π°Π΄Π°Ρ‚ΠΈ Π² ΠΏΡ€ΠΎΠ²Ρ–Π΄Π½Ρ–ΠΉ IT-Π°ΠΊΠ°Π΄Π΅ΠΌΡ–Ρ—.
    • Доступ Π΄ΠΎ Π²Π½ΡƒΡ‚Ρ€Ρ–ΡˆΠ½Ρ–Ρ… Π½Π°Π²Ρ‡Π°Π»ΡŒΠ½ΠΈΡ… рСсурсів Ρ– профСсійнС зростання.

    Π―ΠΊΡ‰ΠΎ Ρ‚ΠΈ ΠΌΠ°Ρ”Ρˆ досвід Ρƒ blockchain-Ρ€ΠΎΠ·Ρ€ΠΎΠ±Ρ†Ρ– Ρ‚Π° Ρ…ΠΎΡ‡Π΅Ρˆ ділитися знаннями – надсилай своє Ρ€Π΅Π·ΡŽΠΌΠ΅! πŸš€

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  • Β· 47 views Β· 4 applications Β· 3d

    AI specialist

    Full Remote Β· Worldwide Β· Product Β· 3 years of experience Β· Upper-Intermediate
    Ми ΡˆΡƒΠΊΠ°Ρ”ΠΌΠΎ AI спСціаліста, який ΠΊΠ΅Ρ€ΡƒΠ²Π°Ρ‚ΠΈΠΌΠ΅ створСнням Ρ– Ρ€ΠΎΠ·Π²ΠΈΡ‚ΠΊΠΎΠΌ Ρ–Π½Π½ΠΎΠ²Π°Ρ†Ρ–ΠΉΠ½ΠΈΡ… Ρ†ΠΈΡ„Ρ€ΠΎΠ²ΠΈΡ… ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚Ρ–Π². ΠšΠ°Π½Π΄ΠΈΠ΄Π°Ρ‚ ΠΏΠΎΠ²ΠΈΠ½Π΅Π½ Π²ΠΎΠ»ΠΎΠ΄Ρ–Ρ‚ΠΈ Ρ‚Π΅Ρ…Π½Ρ–Ρ‡Π½ΠΈΠΌΠΈ знаннями, Π½Π°Π²ΠΈΡ‡ΠΊΠ°ΠΌΠΈ управління ΠΏΡ€ΠΎΡ”ΠΊΡ‚Π°ΠΌΠΈ, Π³Π»ΠΈΠ±ΠΎΠΊΠΈΠΌ розумінням Ρ‚Π΅ΠΌΠ°Ρ‚ΠΈΡ‡Π½ΠΈΡ… Ρ– SEO-стратСгій, Π° Ρ‚Π°ΠΊΠΎΠΆ умінням ΠΊΠΎΠΎΡ€Π΄ΠΈΠ½ΡƒΠ²Π°Ρ‚ΠΈ...

    Ми ΡˆΡƒΠΊΠ°Ρ”ΠΌΠΎ AI спСціаліста, який ΠΊΠ΅Ρ€ΡƒΠ²Π°Ρ‚ΠΈΠΌΠ΅ створСнням Ρ– Ρ€ΠΎΠ·Π²ΠΈΡ‚ΠΊΠΎΠΌ Ρ–Π½Π½ΠΎΠ²Π°Ρ†Ρ–ΠΉΠ½ΠΈΡ… Ρ†ΠΈΡ„Ρ€ΠΎΠ²ΠΈΡ… ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚Ρ–Π². ΠšΠ°Π½Π΄ΠΈΠ΄Π°Ρ‚ ΠΏΠΎΠ²ΠΈΠ½Π΅Π½ Π²ΠΎΠ»ΠΎΠ΄Ρ–Ρ‚ΠΈ Ρ‚Π΅Ρ…Π½Ρ–Ρ‡Π½ΠΈΠΌΠΈ знаннями, Π½Π°Π²ΠΈΡ‡ΠΊΠ°ΠΌΠΈ управління ΠΏΡ€ΠΎΡ”ΠΊΡ‚Π°ΠΌΠΈ, Π³Π»ΠΈΠ±ΠΎΠΊΠΈΠΌ розумінням Ρ‚Π΅ΠΌΠ°Ρ‚ΠΈΡ‡Π½ΠΈΡ… Ρ– SEO-стратСгій, Π° Ρ‚Π°ΠΊΠΎΠΆ умінням ΠΊΠΎΠΎΡ€Π΄ΠΈΠ½ΡƒΠ²Π°Ρ‚ΠΈ Ρ€ΠΎΠ±ΠΎΡ‚Ρƒ крос-Ρ„ΡƒΠ½ΠΊΡ†Ρ–ΠΎΠ½Π°Π»ΡŒΠ½ΠΈΡ… ΠΊΠΎΠΌΠ°Π½Π΄. 
    Нам ΠΏΠΎΡ‚Ρ€Ρ–Π±Π΅Π½ Ρ„Π°Ρ…Ρ–Π²Π΅Ρ†ΡŒ, який Π·ΠΌΠΎΠΆΠ΅ Π°Π½Π°Π»Ρ–Π·ΡƒΠ²Π°Ρ‚ΠΈ Ρ€ΠΈΠ½ΠΎΠΊ, виявляти пСрспСктивні напрямки Ρ€ΠΎΠ·Π²ΠΈΡ‚ΠΊΡƒ Ρ‚Π° Π²ΠΏΡ€ΠΎΠ²Π°Π΄ΠΆΡƒΠ²Π°Ρ‚ΠΈ ΠΏΠ΅Ρ€Π΅Π΄ΠΎΠ²Ρ– Ρ€Ρ–ΡˆΠ΅Π½Π½Ρ, Ρ‰ΠΎ Π΄Π°ΡŽΡ‚ΡŒ Π·ΠΌΠΎΠ³Ρƒ Traders Union Π·Π°Π»ΠΈΡˆΠ°Ρ‚ΠΈΡΡ Π»Ρ–Π΄Π΅Ρ€ΠΎΠΌ Π³Π°Π»ΡƒΠ·Ρ–. 
    Π’Π°ΡˆΠ΅ завдання - створити ΠΊΠΎΠ½ΠΊΡƒΡ€Π΅Π½Ρ‚Π½ΠΈΠΉ ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚.
    Π†Π΄Π΅Π°Π»ΡŒΠ½ΠΈΠΉ ΠΊΠ°Π½Π΄ΠΈΠ΄Π°Ρ‚ Π²ΠΎΠ»ΠΎΠ΄Ρ–Ρ” стратСгічним бачСнням, Π°Π½Π°Π»Ρ–Ρ‚ΠΈΡ‡Π½ΠΈΠΌ складом Ρ€ΠΎΠ·ΡƒΠΌΡƒ Ρ– Π·Π΄Π°Ρ‚Π½Ρ–ΡΡ‚ΡŽ Π΅Ρ„Π΅ΠΊΡ‚ΠΈΠ²Π½ΠΎ взаємодіяти Π· ΠΊΠΎΠΌΠ°Π½Π΄Π°ΠΌΠΈ Ρ€ΠΎΠ·Ρ€ΠΎΠ±ΠΊΠΈ, ΠΌΠ°Ρ€ΠΊΠ΅Ρ‚ΠΈΠ½Π³Ρƒ, ΠΊΠΎΠ½Ρ‚Π΅Π½Ρ‚Ρƒ, Π°Π½Π°Π»Ρ–Ρ‚ΠΈΠΊΠΈ Ρ‚ΠΎΡ‰ΠΎ. Π’Π°ΠΆΠ»ΠΈΠ²ΠΎ Π½Π΅ Ρ‚Ρ–Π»ΡŒΠΊΠΈ ΠΊΠ΅Ρ€ΡƒΠ²Π°Ρ‚ΠΈ процСсом створСння ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚Ρƒ, Π° ΠΉ ΠΎΡ†Ρ–Π½ΡŽΠ²Π°Ρ‚ΠΈ ΠΉΠΎΠ³ΠΎ бізнСс-Ρ†Ρ–Π½Π½Ρ–ΡΡ‚ΡŒ, ΡΠΏΠΈΡ€Π°ΡŽΡ‡ΠΈΡΡŒ Π½Π° Π΄Π°Π½Ρ– Ρ‚Π° ΠΌΠ΅Ρ‚Ρ€ΠΈΠΊΠΈ.   

    ΠžΡΠ½ΠΎΠ²Π½Ρ– завдання:
    - Π ΠΎΠ·Ρ€ΠΎΠ±ΠΊΠ° Ρ‚Π° управління Ρ†ΠΈΡ„Ρ€ΠΎΠ²ΠΈΠΌΠΈ ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚Π°ΠΌΠΈ.
    - Ѐормування стратСгії Ρ€ΠΎΠ·Π²ΠΈΡ‚ΠΊΡƒ ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚Ρƒ, ΠΉΠΎΠ³ΠΎ позиціонування Ρ‚Π° ΠΊΠΎΠ½ΠΊΡƒΡ€Π΅Π½Ρ‚Π½Ρ– ΠΏΠ΅Ρ€Π΅Π²Π°Π³ΠΈ.
    - ΠŸΡ€ΠΎΠ²Π΅Π΄Π΅Π½Π½Ρ Π΄ΠΎΡΠ»Ρ–Π΄ΠΆΠ΅Π½ΡŒ Ρ€ΠΈΠ½ΠΊΡƒ, Π°Π½Π°Π»Ρ–Π· ΠΊΠΎΠ½ΠΊΡƒΡ€Π΅Π½Ρ‚Π½ΠΎΠ³ΠΎ сСрСдовища Ρ‚Π° ΠΊΠΎΡ€ΠΈΡΡ‚ΡƒΠ²Π°Ρ†ΡŒΠΊΠΈΡ… ΠΏΠΎΡ‚Ρ€Π΅Π±.
    - Взаємодія Π· ΠΊΠΎΠΌΠ°Π½Π΄Π°ΠΌΠΈ Ρ€ΠΎΠ·Ρ€ΠΎΠ±ΠΊΠΈ, ΠΌΠ°Ρ€ΠΊΠ΅Ρ‚ΠΈΠ½Π³Ρƒ, ΠΊΠΎΠ½Ρ‚Π΅Π½Ρ‚Ρƒ, Π΄ΠΈΠ·Π°ΠΉΠ½Ρƒ Ρ‚Π° Π°Π½Π°Π»Ρ–Ρ‚ΠΈΠΊΠΈ для досягнСння бізнСс-Ρ†Ρ–Π»Π΅ΠΉ.
    - ΠžΡ€Π³Π°Π½Ρ–Π·Π°Ρ†Ρ–Ρ Π΅Ρ„Π΅ΠΊΡ‚ΠΈΠ²Π½ΠΈΡ… процСсів Ρ€ΠΎΠ·Ρ€ΠΎΠ±ΠΊΠΈ Ρ‚Π° ΠΏΠΎΠ»Ρ–ΠΏΡˆΠ΅Π½Π½Ρ ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚Ρƒ, забСзпСчСння дотримання Ρ‚Π΅Ρ€ΠΌΡ–Π½Ρ–Π² Ρ– якості.
    - ΠŸΠΎΡΡ‚Ρ–ΠΉΠ½Π΅ вдосконалСння ΠΊΠΎΡ€ΠΈΡΡ‚ΡƒΠ²Π°Ρ†ΡŒΠΊΠΎΠ³ΠΎ досвіду, Ρ€ΠΎΠ±ΠΎΡ‚Π° Π·Ρ– Π·Π²ΠΎΡ€ΠΎΡ‚Π½ΠΈΠΌ Π·Π²'язком Ρ– Π°Π½Π°Π»Ρ–Π· ΠΏΠΎΠ²Π΅Π΄Ρ–Π½ΠΊΠΈ користувачів.
    - ΠšΠΎΠ½Ρ‚Ρ€ΠΎΠ»ΡŒ ΠΊΠ»ΡŽΡ‡ΠΎΠ²ΠΈΡ… ΠΌΠ΅Ρ‚Ρ€ΠΈΠΊ СфСктивності ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚Ρƒ, тСстування Π³Ρ–ΠΏΠΎΡ‚Π΅Π· Ρ– впровадТСння ΠΏΠΎΠ»Ρ–ΠΏΡˆΠ΅Π½ΡŒ.
    - ВиявлСння Π½ΠΎΠ²ΠΈΡ… моТливостСй Ρ– Ρ‚ΠΎΡ‡ΠΎΠΊ зростання, Ρ€ΠΎΠ·Ρ€ΠΎΠ±ΠΊΠ° Ρ– запуск Π½ΠΎΠ²ΠΈΡ… Ρ„ΡƒΠ½ΠΊΡ†Ρ–ΠΉ Ρ– сСрвісів.


    Π’ΠΈΠΌΠΎΠ³ΠΈ:
    - Досвід Ρ€ΠΎΠ±ΠΎΡ‚ΠΈ Π² Ρ€ΠΎΠ»Ρ– АІ спСціаліста Π²Ρ–Π΄  3 Ρ€ΠΎΠΊΡ–Π², Π±Π°ΠΆΠ°Π½ΠΎ Ρƒ сфСрі Ρ„Ρ–Π½Ρ‚Π΅Ρ… Π°Π±ΠΎ Ρ–Π½Ρ„ΠΎΡ€ΠΌΠ°Ρ†Ρ–ΠΉΠ½ΠΈΡ… Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³Ρ–ΠΉ.
    - ΠŸΡ€Π°ΠΊΡ‚ΠΈΡ‡Π½ΠΈΠΉ досвід управління Ρ€ΠΎΠ·Ρ€ΠΎΠ±ΠΊΠΎΡŽ Ρ†ΠΈΡ„Ρ€ΠΎΠ²ΠΈΡ… ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚Ρ–Π².
    - Розуміння ΠΏΡ€ΠΈΠ½Ρ†ΠΈΠΏΡ–Π² agile-Ρ€ΠΎΠ·Ρ€ΠΎΠ±ΠΊΠΈ Ρ‚Π° володіння інструмСнтами управління ΠΏΡ€ΠΎΡ”ΠΊΡ‚Π°ΠΌΠΈ (JIRA, Confluence).
    - Знання SEO, досвід Ρ€ΠΎΠ±ΠΎΡ‚ΠΈ Π· ΠΊΠΎΠ½Ρ‚Π΅Π½Ρ‚Π½ΠΈΠΌΠΈ стратСгіями Ρ‚Π° ΠΎΠΏΡ‚ΠΈΠΌΡ–Π·Π°Ρ†Ρ–Ρ”ΡŽ для ΠΏΠΎΡˆΡƒΠΊΠΎΠ²ΠΈΡ… систСм.
    - Володіння Π°Π½Π³Π»Ρ–ΠΉΡΡŒΠΊΠΎΡŽ мовою Π½Π° Ρ€Ρ–Π²Π½Ρ– Π½Π΅ Π½ΠΈΠΆΡ‡Π΅ B2.
    - Аналітичний склад Ρ€ΠΎΠ·ΡƒΠΌΡƒ: вміння Π°Π½Π°Π»Ρ–Π·ΡƒΠ²Π°Ρ‚ΠΈ Π΄Π°Π½Ρ–, виявляти Ρ‚Ρ€Π΅Π½Π΄ΠΈ Ρ‚Π° ΡƒΡ…Π²Π°Π»ΡŽΠ²Π°Ρ‚ΠΈ Ρ€Ρ–ΡˆΠ΅Π½Π½Ρ Π½Π° основі ΠΌΠ΅Ρ‚Ρ€ΠΈΠΊ.
    - Досвід Π²Π·Π°Ρ”ΠΌΠΎΠ΄Ρ–Ρ— Π· Ρ‚Π΅Ρ…Π½Ρ–Ρ‡Π½ΠΈΠΌΠΈ ΠΊΠΎΠΌΠ°Π½Π΄Π°ΠΌΠΈ, вміння Π·Π½Π°Ρ…ΠΎΠ΄ΠΈΡ‚ΠΈ ΠΎΠΏΡ‚ΠΈΠΌΠ°Π»ΡŒΠ½Ρ– Ρ€Ρ–ΡˆΠ΅Π½Π½Ρ для Ρ€Π΅Π°Π»Ρ–Π·Π°Ρ†Ρ–Ρ— Ρ–Π΄Π΅ΠΉ.

     

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    Команда, Ρ‰ΠΎ Ρ” Π²Π΅Π»ΠΈΠΊΠΈΠΌ fashion-retail Π³Ρ€Π°Π²Ρ†Π΅ΠΌ світового Ρ€ΠΈΠ½ΠΊΡƒ Π·Π°ΠΏΡ€ΠΎΡˆΡƒΡ” Π΄ΠΎ сСбС Senior AI and ML Data Scientist! ΠžΡΠ½ΠΎΠ²Π½Ρ– обов’язки Π½Π° посаді: β€’ ΠŸΡ€ΠΎΠ΅ΠΊΡ‚ΡƒΠ²Π°Π½Π½Ρ Ρ– рСалізація Π°Ρ€Ρ…Ρ–Ρ‚Π΅ΠΊΡ‚ΡƒΡ€ΠΈ систСми; β€’ ΠžΠ±Ρ€ΠΎΠ±ΠΊΠ°, ΠΏΡ–Π΄Π³ΠΎΡ‚ΠΎΠ²ΠΊΠ° Ρ– Π°Π½Π°Π»Ρ–Π· Π΄Π°Π½ΠΈΡ…; β€’ Π ΠΎΠ·Ρ€ΠΎΠ±ΠΊΠ° Ρ–...

    Команда, Ρ‰ΠΎ Ρ” Π²Π΅Π»ΠΈΠΊΠΈΠΌ fashion-retail Π³Ρ€Π°Π²Ρ†Π΅ΠΌ світового Ρ€ΠΈΠ½ΠΊΡƒ Π·Π°ΠΏΡ€ΠΎΡˆΡƒΡ” Π΄ΠΎ сСбС Senior AI and ML Data Scientist! 

     

     

     ΠžΡΠ½ΠΎΠ²Π½Ρ– обов’язки Π½Π° посаді:
    β€’ ΠŸΡ€ΠΎΠ΅ΠΊΡ‚ΡƒΠ²Π°Π½Π½Ρ Ρ– рСалізація Π°Ρ€Ρ…Ρ–Ρ‚Π΅ΠΊΡ‚ΡƒΡ€ΠΈ систСми;
    β€’ ΠžΠ±Ρ€ΠΎΠ±ΠΊΠ°, ΠΏΡ–Π΄Π³ΠΎΡ‚ΠΎΠ²ΠΊΠ° Ρ– Π°Π½Π°Π»Ρ–Π· Π΄Π°Π½ΠΈΡ…;
    β€’ Π ΠΎΠ·Ρ€ΠΎΠ±ΠΊΠ° Ρ– тСстування ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ машинного навчання, Π° Ρ‚Π°ΠΊΠΎΠΆ Ρ—Ρ… впровадТСння;
    β€’ Π‘ΡƒΠΏΡ€ΠΎΠ²Ρ–Π΄ Ρ–ΡΠ½ΡƒΡŽΡ‡ΠΈΡ… ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ;
    β€’ Застосування статистичних ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ–Π² для Π°Π½Π°Π»Ρ–Π·Ρƒ Ρ– Ρ–Π½Ρ‚Π΅Ρ€ΠΏΡ€Π΅Ρ‚Π°Ρ†Ρ–Ρ— Π΄Π°Π½ΠΈΡ…, ΠΏΠΎΡˆΡƒΠΊ закономірностСй Ρ‚Π° інсайтів для ΠΏΠΎΠ»Ρ–ΠΏΡˆΠ΅Π½Π½Ρ якості ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ;
    β€’ Автоматизація Ρ– ΡˆΠ°Π±Π»ΠΎΠ½Ρ–Π·Π°Ρ†Ρ–Ρ завдань, Ρ‰ΠΎ ΠΏΠΎΠ²Ρ‚ΠΎΡ€ΡŽΡŽΡ‚ΡŒΡΡ;
    β€’ Π ΠΎΠ·Ρ€ΠΎΠ±ΠΊΠ° Ρ– супровід Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌΡ–Π² для Ρ€Π΅ΠΊΠΎΠΌΠ΅Π½Π΄Π°Ρ†Ρ–ΠΉΠ½ΠΈΡ… систСм;
    β€’ Бпівпраця Π· кросс-Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½Ρ‹ΠΌΠΈ ΠΊΠΎΠΌΠ°Π½Π΄Π°ΠΌΠΈ для Ρ€Π΅Π°Π»Ρ–Π·Π°Ρ†Ρ–Ρ— Ρ€Ρ–ΡˆΠ΅Π½ΡŒ;
    β€’ ΠŸΡ€ΠΎΠ²Π΅Π΄Π΅Π½Π½Ρ комплСксного статистичного Π°Π½Π°Π»Ρ–Π·Ρƒ Π½Π° Π²Π΅Π»ΠΈΠΊΠΈΡ… масивах Π΄Π°Π½ΠΈΡ… для підтвСрдТСння ΠΏΡ€Π°Π²ΠΈΠ»ΡŒΠ½ΠΎΡΡ‚Ρ– прийняття бізнСс-Ρ€Ρ–ΡˆΠ΅Π½ΡŒ.

    ΠΠ°ΡˆΡ– побаТання Π΄ΠΎ ΠΊΠ°Π½Π΄ΠΈΠ΄Π°Ρ‚Π°:
    β€’ 3+ Ρ€ΠΎΠΊΠΈ ΠΏΡ–Π΄Ρ‚Π²Π΅Ρ€Π΄ΠΆΠ΅Π½ΠΎΠ³ΠΎ ΠΊΠΎΠΌΠ΅Ρ€Ρ†Ρ–ΠΉΠ½ΠΎΠ³ΠΎ досвіду;
    β€’ 3+ Ρ€ΠΎΠΊΡ–Π² Python, R Ρ– ΠΏΠΎΠ²'язаних Π· Π½ΠΈΠΌ ΠΏΠ°ΠΊΠ΅Ρ‚Ρ–Π², Ρ‚Π°ΠΊΠΈΡ… як Scikit - learn, Shap, Pandas;
    β€’ Високий Ρ€Ρ–Π²Π΅Π½ΡŒ знань Π² SQL (CTE, window functions);
    β€’ Π’ΠΏΠ΅Π²Π½Π΅Π½Π½Ρ– ΠΌΠ°Ρ‚Π΅ΠΌΠ°Ρ‚ΠΈΡ‡Π½Ρ– знання ( ΠΏΠ΅Ρ€Π΅Π²Π°ΠΆΠ½ΠΎ освіта Π² області ΠΊΠΎΠΌΠΏ'ΡŽΡ‚Π΅Ρ€Π½ΠΈΡ… Π½Π°ΡƒΠΊ Π°Π±ΠΎ ΠΌΠ°Ρ‚Π΅ΠΌΠ°Ρ‚ΠΈΠΊΠΈ);
    β€’ Досвід Ρ€ΠΎΠ±ΠΎΡ‚ΠΈ Π· Π²Π΅Π»ΠΈΠΊΠΈΠΌΠΈ масивами Π΄Π°Π½ΠΈΡ…, статистичним Π°Π½Π°Π»Ρ–Π·ΠΎΠΌ, Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌΠ°ΠΌΠΈ машинного навчання Ρ– Ρ€ΠΎΠ·Ρ€ΠΎΠ±ΠΊΠΎΡŽ ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ;
    β€’ Π’Ρ–Π΄ΠΌΡ–Π½Π½Ρ– ΠΊΠΎΠΌΡƒΠ½Ρ–ΠΊΠ°Ρ‚ΠΈΠ²Π½Ρ– Π½Π°Π²ΠΈΡ‡ΠΊΠΈ для Π΅Ρ„Π΅ΠΊΡ‚ΠΈΠ²Π½ΠΎΡ— Π²Π·Π°Ρ”ΠΌΠΎΠ΄Ρ–Ρ— Ρ–Π· Π·Π°Ρ†Ρ–ΠΊΠ°Π²Π»Π΅Π½ΠΈΠΌΠΈ сторонами ( як Ρ‚Π΅Ρ…Π½Ρ–Ρ‡Π½ΠΎΠ³ΠΎ Ρ‚Π°ΠΊ Ρ– Π½Π΅ Ρ‚Π΅Ρ…Π½Ρ–Ρ‡Π½ΠΎΠ³ΠΎ Ρ…Π°Ρ€Π°ΠΊΡ‚Π΅Ρ€Ρƒ).

    ΠŸΠ΅Ρ€Π΅Π²Π°Π³ΠΎΡŽ Π±ΡƒΠ΄Π΅:
    β€’ Π—Π΄Π°Ρ‚Π½Ρ–ΡΡ‚ΡŒ виявляти пСрспСктивні сцСнарії для створСння Π΄ΠΎΠ΄Π°Ρ‚ΠΊΠΎΠ²ΠΈΡ… цінностСй Ρƒ бізнСсі;
    β€’ Досвід Ρ€ΠΎΠ±ΠΎΡ‚ΠΈ Ρƒ сфСрі Ρ€ΠΎΠ·Π΄Ρ€Ρ–Π±Π½ΠΎΡ— Ρ‚ΠΎΡ€Π³Ρ–Π²Π»Ρ–;
    β€’ Знайомство Π· Ρ„Ρ€Π΅ΠΉΠΌΠ²ΠΎΡ€ΠΊΠ°ΠΌΠΈ Ρ– Π±Ρ–Π±Π»Ρ–ΠΎΡ‚Π΅ΠΊΠ°ΠΌΠΈ ΡˆΡ‚ΡƒΡ‡Π½ΠΎΠ³ΠΎ Ρ–Π½Ρ‚Π΅Π»Π΅ΠΊΡ‚Ρƒ, Ρ‚Π°ΠΊΠΈΠΌΠΈ як TensorFlow, PyTorch Π°Π±ΠΎ Langchain;
    β€’ Досвід Ρ€ΠΎΠ±ΠΎΡ‚ΠΈ Π· інструмСнтарієм Scientific Python (NumPy, pandas, Scikit - learn, Keras / TensorFlow Π°Π±ΠΎ PyTorch);
    β€’ Досвід Ρ€ΠΎΠ±ΠΎΡ‚ΠΈ Π· тСхнологіями ΠΎΠ±Ρ€ΠΎΠ±ΠΊΠΈ Π²Π΅Π»ΠΈΠΊΠΈΡ… Π΄Π°Π½ΠΈΡ…, Ρ‚Π°ΠΊΠΈΠΌΠΈ як Hadoop, Spark Π°Π±ΠΎ Hive;
    β€’ Досвід провСдСння статистичних Π΄ΠΎΡΠ»Ρ–Π΄ΠΆΠ΅Π½ΡŒ Ρ– A/B- тСстування;
    β€’ Досвід Ρ€ΠΎΠ±ΠΎΡ‚ΠΈ Π· інструмСнтами Ρ– ΠΌΠ΅Ρ‚ΠΎΠ΄Π°ΠΌΠΈ Π²Ρ–Π·ΡƒΠ°Π»Ρ–Π·Π°Ρ†Ρ–Ρ— Π΄Π°Π½ΠΈΡ….

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