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· IntermediateOur 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 professorβs 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 Strikersoftβs 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 Strikersoftβs 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 masterβs 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 Europeβs leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. KTH is Swedenβs 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 Europeβs 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.
-
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· IntermediateWe 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 7B, GPT-3/4, LLaMA, Claude, Falcon, Bloom, 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.
-
Β· 16 views Β· 3 applications Β· 2d
Middle AI/ML Engineer
Ukraine Β· 4 years of experience Β· Upper-IntermediateWe are seeking an AI Engineer to join one of our customersβ 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 customersβ 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 clientβs 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 βFriendly to Veteransβ award-holder.
If you believe you are a suitable candidate for this position, please attach your updated resume using the provided link.
More
Our recruitment team will review your profile, and if it aligns with our current job openings, we will contact you shortly. If you donβt receive a reply from us within 5 business days, it means we have decided to move forward with other candidates.
Thank you for understanding. -
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-IntermediateThe 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.Youβll 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.
More
Will be a huge plus: AWS toolset (especially ML-ones) experience. -
Β· 18 views Β· 7 applications Β· 2d
Lead AI Engineer
Full Remote Β· Worldwide Β· 5 years of experience Β· Upper-IntermediateOTAKOYI 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, donβt 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, donβt 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 chatbotβitβs 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 AIβs 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 Navigatorβs 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 Navigatorβs core systems to ensure peak performance and user satisfaction;
- User Experience Focus: Drive a user-first approach, ensuring that Navigatorβs 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)
More
-
Β· 11 views Β· 0 applications Β· 2d
Senior AI/ML Engineer
Ukraine Β· 5 years of experience Β· Upper-IntermediateConduct 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 βFriendly to Veteransβ award-holder.
-
Β· 146 views Β· 45 applications Β· 2d
ML (Python) Developer
Full Remote Β· Worldwide Β· 0.5 years of experience Β· IntermediateWe 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.
Weβre looking for a AI Engineer to join a data analytics project focused on developing machine learning solutions for image and document processing.
π§ What youβll 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.
β What weβre 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
π 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
-
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-IntermediateWe 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 projectAs 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 donβt 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
- Masterβs 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 productβs 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.
-
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-IntermediateWeβre 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...Weβre 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.
Youβll 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 β 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?
More
Apply now β weβd love to talk! -
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.
πΌ It will be a plus:Skills in working with vector bases (Pinecone, Weaviate),
More
LangChain, LlamaIndex;
Experience with no-code AI platforms (Chatbase, n8n, Flowise);
Basic knowledge of SQL, JSON, Git. -
Β· 9 views Β· 0 applications Β· 1d
Trainee C/C++ Engineer in Telecom/RAN (Wroclaw) IRC268316
Office Work Β· Poland Β· Upper-IntermediateDescription 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. Youβll 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:
β hands-on proficiency in C/C++
β be a confident Linux user
β have an understanding of Networking principles
β havea generic understanding of Radio Access Network (RAN) technologies (i.e. LTE, 5G) and trends (Cloud RAN, Open RAN, etc.)
β Interest or any experience in embedded/multi-core systems would be a plus
β Git, Gerrit experience would be a plus
β Good written and spoken EnglishAs a result, you will gain:
β Hands on experience in LTE/5G RAN and L1-L3 protocols development
β Essentials of 3GPP standards
β Improve knowledge in Linux, Networking
β Understanding of Cloud basics (k8s, Docker, etc.)
β Learn essentials of RAN acceleration (e.g. DPDK, Nvidia CUDA, etc.)
β Familiarity with the radio network testers and emulators such as Viavi TM500, Keysight, etc.
β 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
β Attend and engage in all training sessions, ask relevant questions, and participate in group discussions to maximize learning
More
β Complete all assigned exercises and practical tasks within given deadlines to reinforce theoretical knowledge through hands-on practice
β Dedicate time to self-study, including reviewing training materials, conducting additional research, and keeping up with industry requirements relevant to the program
β 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
β 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
β Maintain clear and open communication with instructors and peers, providing constructive feedback, and reporting progress or challenges regularly
β Follow the training schedule, adhere to the rules and code of conduct of the program, and meet deadlines for all tasks and project milestones -
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· IntermediateΠΠ°Ρ ΠΎΠΏΠ»ΡΡΡΡΡ AI ΡΠ΅Ρ Π½ΠΎΠ»ΠΎΠ³ΡΡΠΌΠΈ, ΠΏΡΠ°Π³Π½Π΅Ρ Π²ΠΏΠ»ΠΈΠ½ΡΡΠΈ Π½Π° ΡΠΎΠ·Π²ΠΈΡΠΎΠΊ ΠΏΡΠΎΠ΄ΡΠΊΡΡΠ² ΠΌΠΎΠ½ΠΎ? Π’ΠΎΠ΄Ρ ΡΠΎΠ±Ρ Π΄ΠΎ Π½Π°Ρ :) ΠΠ½Π°ΠΉΠΎΠΌΡΡ Π΄Π΅ΡΠ°Π»ΡΠ½ΡΡΠ΅ Π· Π²Π°ΠΊΠ°Π½ΡΡΡΡ, Π²ΡΠ΄Π³ΡΠΊΡΠΉΡΡ, ΡΠΊΡΠΎ ΡΠ²ΠΎΡ/ΠΏΡΠΎ ΡΠ΅Π±Π΅, ΠΌΠΈ Π²ΠΆΠ΅ Π»ΠΎΠ²ΠΈΠΌΠΎ Π·Π²ΡΡΡΠΎΡΠΊΡ ΠΡΠΌΠΎ Π²ΡΡΠ»ΡΠ²Π°ΡΠΈ Π°ΠΌΠ±ΡΡΠ½Ρ ΡΠ΄Π΅Ρ ΡΠ°Π·ΠΎΠΌ! Π¦Π΅ ΠΌΠΈ: mono β ΠΌΡΠ»ΡΡΠΈΠΏΡΠΎΠ΄ΡΠΊΡΠΎΠ²Π°...ΠΠ°Ρ ΠΎΠΏΠ»ΡΡΡΡΡ AI ΡΠ΅Ρ Π½ΠΎΠ»ΠΎΠ³ΡΡΠΌΠΈ, ΠΏΡΠ°Π³Π½Π΅Ρ Π²ΠΏΠ»ΠΈΠ½ΡΡΠΈ Π½Π° ΡΠΎΠ·Π²ΠΈΡΠΎΠΊ ΠΏΡΠΎΠ΄ΡΠΊΡΡΠ² ΠΌΠΎΠ½ΠΎ? Π’ΠΎΠ΄Ρ ΡΠΎΠ±Ρ Π΄ΠΎ Π½Π°Ρ :) ΠΠ½Π°ΠΉΠΎΠΌΡΡ Π΄Π΅ΡΠ°Π»ΡΠ½ΡΡΠ΅ Π· Π²Π°ΠΊΠ°Π½ΡΡΡΡ, Π²ΡΠ΄Π³ΡΠΊΡΠΉΡΡ, ΡΠΊΡΠΎ ΡΠ²ΠΎΡ/ΠΏΡΠΎ ΡΠ΅Π±Π΅, ΠΌΠΈ Π²ΠΆΠ΅ Π»ΠΎΠ²ΠΈΠΌΠΎ Π·Π²ΡΡΡΠΎΡΠΊΡ πΎ
ΠΡΠΌΠΎ Π²ΡΡΠ»ΡΠ²Π°ΡΠΈ Π°ΠΌΠ±ΡΡΠ½Ρ ΡΠ΄Π΅Ρ ΡΠ°Π·ΠΎΠΌ!
Π¦Π΅ ΠΌΠΈ:
mono β ΠΌΡΠ»ΡΡΠΈΠΏΡΠΎΠ΄ΡΠΊΡΠΎΠ²Π° fintech ΠΊΠΎΠΌΠΏΠ°Π½ΡΡ Π· Π£ΠΊΡΠ°ΡΠ½ΠΈ. ΠΠ· 2017 ΡΠΎΠΊΡ ΠΌΡΠ»ΡΠΉΠΎΠ½ΠΈ Π»ΡΠ΄Π΅ΠΉ ΠΌΡΡΠΊΠΎΡΡΡΡ Π²ΡΠ΄ Π½Π°ΡΠΈΡ ΠΏΡΠΎΠ΄ΡΠΊΡΡΠ²: monobank, Experienza, Base... Π ΡΠ΅ΠΏΠ΅Ρ ΠΌΠΈ Π·Π°ΠΏΡΡΡΠΈΠ»ΠΈ ΡΠ΅ ΠΎΠ΄ΠΈΠ½ ΠΎΡΠΎΠ±Π»ΠΈΠ²ΠΈΠΉ ΠΏΡΠΎΡΠΊΡ Π² ΡΠΊΡΠ°ΡΠ½ΡΡΠΊΠΎΠΌΡ e-commerce β market by mono. ΠΡΠ°Π³Π½Π΅ΠΌΠΎ ΡΡΠ²ΠΎΡΠΈΡΠΈ ΡΠ΅ Π±ΡΠ»ΡΡΠ΅ Π΄Π»Ρ Π½Π°ΡΠΎΡ Π΅ΠΊΠΎΡΠΈΡΡΠ΅ΠΌΠΈ.
ΠΡΠΎ ΡΠ΅Π±Π΅:
- Π³Π»ΠΈΠ±ΠΎΠΊΠΎ ΡΠΎΠ·ΡΠΌΡΡΡ Π°Π»Π³ΠΎΡΠΈΡΠΌΠΈ Ρ ΠΊΠΎΠ½ΡΠ΅ΠΏΡΡΡ ML
- ΠΌΠ°ΡΡ Π΄ΠΎΡΠ²ΡΠ΄ Π²ΠΈΠΊΠΎΡΠΈΡΡΠ°Π½Π½Ρ deep learning Π΄Π»Ρ Π²ΠΈΡΡΡΠ΅Π½Π½Ρ Π·Π°Π΄Π°Ρ NLP
- Π·Π½Π°ΡΡ Ρ Π°ΠΊΡΠΈΠ²Π½ΠΎ ΠΏΡΠ°ΡΡΡΡ Π· Generative AI (Prompt Engineering, Fine-Tuning, RAG)
- ΠΊΠΎΡΠΈΡΡΡΡΡΡΡ ΡΠ°ΠΊΠΈΠΌΠΈ ΡΠ΅ΡΠ²ΡΡΠ°ΠΌΠΈ, ΡΠΊ Amazon Bedrock, OpenAI Π°Π±ΠΎ Anthropic
- Π±Π΅Π·Π΄ΠΎΠ³Π°Π½Π½ΠΎ Π·Π½Π°ΡΡ Python Π΄Π»Ρ ML
- ΠΌΠ°ΡΡ Π½Π°Π²ΠΈΡΠΊΠΈ Π·Π°ΠΏΠΈΡΡΠ² Ρ ΠΌΠ°Π½ΡΠΏΡΠ»ΡΠ²Π°Π½Π½Ρ Π²Π΅Π»ΠΈΠΊΠΈΠΌΠΈ Π½Π°Π±ΠΎΡΠ°ΠΌΠΈ Π΄Π°Π½ΠΈΡ Π·Π° Π΄ΠΎΠΏΠΎΠΌΠΎΠ³ΠΎΡ SQL
- Π°ΠΊΡΠΈΠ²Π½ΠΎ ΠΊΠΎΠΌΡΠ½ΡΠΊΡΡΡ Π· ΠΊΠΎΠ»Π΅Π³Π°ΠΌΠΈ ΡΠ° ΠΏΡΠΎΡΡΠ²Π°ΡΡ Π²ΠΈΠΊΠΎΡΠΈΡΡΠ°Π½Π½ΡΠΌ AI Π΄Π»Ρ ΠΏΠΎΠΊΡΠ°ΡΠ΅Π½Π½Ρ ΠΏΡΠΎΡΠ΅ΡΡΠ²
ΠΠΎΠ΄Π°ΡΠΊΠΎΠ²ΠΎ Π·Π°ΡΡΠ½ΠΈΠΌΠΎ:- Π΄ΠΎΡΠ²ΡΠ΄ Π· ΡΠ°Π±Π»ΠΈΡΠ½ΠΈΠΌΠΈ Π΄Π°Π½ΠΈΠΌΠΈ
ΠΡΠ΄ ΡΠ΅Π±Π΅ Π³Π°ΡΠ°Π½ΡΡΡΠΌΠΎ:
- Π³ΡΠ΄Π½Ρ Π²ΠΈΠ½Π°Π³ΠΎΡΠΎΠ΄Ρ ΡΠ° ΡΡ ΡΠ΅Π³ΡΠ»ΡΡΠ½ΠΈΠΉ ΠΏΠ΅ΡΠ΅Π³Π»ΡΠ΄ Π·Π° ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠ°ΠΌΠΈ
- Π³Π½ΡΡΠΊΠΈΠΉ Π³ΡΠ°ΡΡΠΊ ΡΠΎΠ±ΠΎΡΠΈ Π±Π΅Π· ΡΡΠ΅ΠΊΠ΅ΡΡΠ² Ρ ΠΏΠ°ΡΠ°Π½ΠΎΡ
- ΠΌΠΎΠΆΠ»ΠΈΠ²ΡΡΡΡ Π³ΡΠ±ΡΠΈΠ΄Π½ΠΎΡ ΡΠΎΠ±ΠΎΡΠΈ ΡΠΈ ΠΏΠΎΠ²Π½ΡΡΡΡ Π²ΡΠ΄Π΄Π°Π»Π΅Π½ΠΎ
- Π²ΡΠ΄ΠΏΡΡΡΠΊΡ 18 ΡΠΎΠ±ΠΎΡΠΈΡ Π΄Π½ΡΠ² Π½Π° ΡΡΠΊ (ΡΠΈ 24 ΠΊΠ°Π»Π΅Π½Π΄Π°ΡΠ½ΠΈΡ ) + 2 Π΄Π½Ρ Π΄Π»Ρ ΡΠΎΡΡ-ΠΌΠ°ΠΆΠΎΡΡΠ² + 6 Π΄Π½ΡΠ² Π΄Π»Ρ Π½Π°Π²ΡΠ°Π½Π½Ρ
- ΠΎΠΏΠ»Π°ΡΡΠ²Π°Π½Ρ Π΄Π΅ΠΉ-ΠΎΡΠΈ Π·Π° ΡΡΠ°Π½ΠΎΠΌ Π·Π΄ΠΎΡΠΎΠ²βΡ β Π±Π΅Π· SMS Ρ Π»ΡΠΊΠ°ΡΠ½ΡΠ½ΠΈΡ Π»ΠΈΡΡΡΠ²
- ΠΊΠΎΡΠΏΠΎΡΠ°ΡΠΈΠ²Π½Ρ ΠΊΡΡΡΠΈ ΡΠ½Π³Π»ΡΡΡ
- 100% ΡΡΡΠ°Ρ ΡΠ²Π°Π½Π½Ρ Π·Π΄ΠΎΡΠΎΠ²βΡ + ΠΏΡΠ΄ΡΡΠΈΠΌΠΊΠ° ΠΌΠ΅Π½ΡΠ°Π»ΠΎΡΠΊΠΈ
- ΠΊΠ°ΡΡΠΊΡ Platinum Π²ΡΠ΄ monobank Ρ ΠΏΡΠ½Π΄ΠΈΠΊΠΈ Π²ΡΠ΄ Π½Π°ΡΠΈΡ ΠΏΠ°ΡΡΠ½Π΅ΡΡΠ²
More
πΊπ¦ ΠΡΠ΄ΡΡΠΈΠΌΡΡΠΌΠΎ ΡΠΈΠ»ΠΈ ΠΎΠ±ΠΎΡΠΎΠ½ΠΈ Π£ΠΊΡΠ°ΡΠ½ΠΈ Π²Π»Π°ΡΠ½ΠΈΠΌΠΈ Π·Π±ΠΎΡΠ°ΠΌΠΈ, ΡΠΎΠ·Π²ΠΈΠ²Π°ΡΠΌΠΎ ΠΊΡΠ»ΡΡΡΡΡ Π΄ΠΎΠ½Π°ΡΠ΅ΡΡΡΠ²Π°. - Π΄ΠΎΡΠ²ΡΠ΄ Π· ΡΠ°Π±Π»ΠΈΡΠ½ΠΈΠΌΠΈ Π΄Π°Π½ΠΈΠΌΠΈ
-
Β· 40 views Β· 4 applications Β· 19d
Π ΠΎΠ·ΡΠΎΠ±ΠΊΠ° Fintech-Π΄ΠΎΠ΄Π°ΡΠΊΡΠ² Blockchain, ΠΊΡΠΈΠΏΡΠΎΠ²Π°Π»ΡΡΠΈ, ΡΠΌΠ°ΡΡ-ΠΊΠΎΠ½ΡΡΠ°ΠΊΡΠΈ, Solidity (Π²ΠΈΠΊΠ»Π°Π΄Π°Π½Π½Ρ ΠΊΡΡΡΡ)
Part-time Β· Full Remote Β· Worldwide Β· Product Β· 1 year of experienceΠΠΊΠ°Π΄Π΅ΠΌΡΡ IT Step ΡΡΠΊΠ°Ρ Π²ΠΈΠΊΠ»Π°Π΄Π°ΡΠ° Π΄Π»Ρ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½Π½Ρ ΠΊΡΡΡΡ "Π ΠΎΠ·ΡΠΎΠ±ΠΊΠ° Fintech-Π΄ΠΎΠ΄Π°ΡΠΊΡΠ²". ΠΡΠΎΠ³ΡΠ°ΠΌΠ° ΠΎΡ ΠΎΠΏΠ»ΡΡ ΠΊΠ»ΡΡΠΎΠ²Ρ Π°ΡΠΏΠ΅ΠΊΡΠΈ Π±Π»ΠΎΠΊΡΠ΅ΠΉΠ½-ΡΠ΅Ρ Π½ΠΎΠ»ΠΎΠ³ΡΠΉ, ΠΊΡΠΈΠΏΡΠΎΠ²Π°Π»ΡΡ, ΡΠΌΠ°ΡΡ-ΠΊΠΎΠ½ΡΡΠ°ΠΊΡΡΠ² Ρ ΡΠΎΠ·ΡΠΎΠ±ΠΊΠΈ Π½Π° Solidity. ΠΡΡΡ ΠΎΡΡΡΠ½ΡΠΎΠ²Π°Π½ΠΈΠΉ Π½Π° ΠΏΡΠ°ΠΊΡΠΈΡΠ½Π΅ Π·Π°ΡΡΠΎΡΡΠ²Π°Π½Π½Ρ ΡΠ΅Ρ Π½ΠΎΠ»ΠΎΠ³ΡΠΉ Ρ...ΠΠΊΠ°Π΄Π΅ΠΌΡΡ IT Step ΡΡΠΊΠ°Ρ Π²ΠΈΠΊΠ»Π°Π΄Π°ΡΠ° Π΄Π»Ρ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½Π½Ρ ΠΊΡΡΡΡ "Π ΠΎΠ·ΡΠΎΠ±ΠΊΠ° Fintech-Π΄ΠΎΠ΄Π°ΡΠΊΡΠ²". ΠΡΠΎΠ³ΡΠ°ΠΌΠ° ΠΎΡ ΠΎΠΏΠ»ΡΡ ΠΊΠ»ΡΡΠΎΠ²Ρ Π°ΡΠΏΠ΅ΠΊΡΠΈ Π±Π»ΠΎΠΊΡΠ΅ΠΉΠ½-ΡΠ΅Ρ Π½ΠΎΠ»ΠΎΠ³ΡΠΉ, ΠΊΡΠΈΠΏΡΠΎΠ²Π°Π»ΡΡ, ΡΠΌΠ°ΡΡ-ΠΊΠΎΠ½ΡΡΠ°ΠΊΡΡΠ² Ρ ΡΠΎΠ·ΡΠΎΠ±ΠΊΠΈ Π½Π° Solidity. ΠΡΡΡ ΠΎΡΡΡΠ½ΡΠΎΠ²Π°Π½ΠΈΠΉ Π½Π° ΠΏΡΠ°ΠΊΡΠΈΡΠ½Π΅ Π·Π°ΡΡΠΎΡΡΠ²Π°Π½Π½Ρ ΡΠ΅Ρ Π½ΠΎΠ»ΠΎΠ³ΡΠΉ Ρ ΡΡΠ½Π°Π½ΡΠΎΠ²ΠΎΠΌΡ ΡΠ΅ΠΊΡΠΎΡΡ.
ΠΠ±ΠΎΠ²βΡΠ·ΠΊΠΈ:
- ΠΡΠΎΠ²Π΅Π΄Π΅Π½Π½Ρ Π·Π°Π½ΡΡΡ Ρ ΡΠΎΡΠΌΠ°ΡΡ ΠΎΠ½Π»Π°ΠΉΠ½ Π²ΡΠ΄ΠΏΠΎΠ²ΡΠ΄Π½ΠΎ Π΄ΠΎ Π½Π°Π²ΡΠ°Π»ΡΠ½ΠΎΡ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΈ.
- ΠΠΎΡΡΠ½Π΅Π½Π½Ρ ΠΊΠΎΠ½ΡΠ΅ΠΏΡΡΠΉ Π±Π»ΠΎΠΊΡΠ΅ΠΉΠ½Ρ, ΡΠΌΠ°ΡΡ-ΠΊΠΎΠ½ΡΡΠ°ΠΊΡΡΠ² Ρ ΠΊΡΠΈΠΏΡΠΎΠ²Π°Π»ΡΡ Ρ Π΄ΠΎΡΡΡΠΏΠ½ΡΠΉ ΡΠΎΡΠΌΡ.
- ΠΡΠ°ΠΊΡΠΈΡΠ½Π΅ ΠΊΠ΅ΡΡΠ²Π½ΠΈΡΡΠ²ΠΎ ΡΡΡΠ΄Π΅Π½ΡΠ°ΠΌΠΈ Ρ ΡΡΠ²ΠΎΡΠ΅Π½Π½Ρ Fintech-ΡΡΡΠ΅Π½Ρ.
ΠΡΡΠ½ΡΠ²Π°Π½Π½Ρ Π·Π°Π²Π΄Π°Π½Ρ Ρ Π½Π°Π΄Π°Π½Π½Ρ Π·Π²ΠΎΡΠΎΡΠ½ΠΎΠ³ΠΎ Π·Π²βΡΠ·ΠΊΡ.
ΠΠΈΠΌΠΎΠ³ΠΈ:
- ΠΠΎΡΠ²ΡΠ΄ ΡΠΎΠ·ΡΠΎΠ±ΠΊΠΈ Fintech-Π΄ΠΎΠ΄Π°ΡΠΊΡΠ² ΡΠ· Π²ΠΈΠΊΠΎΡΠΈΡΡΠ°Π½Π½ΡΠΌ Π±Π»ΠΎΠΊΡΠ΅ΠΉΠ½Ρ.
- ΠΠΏΠ΅Π²Π½Π΅Π½Π΅ Π²ΠΎΠ»ΠΎΠ΄ΡΠ½Π½Ρ Solidity ΡΠ° ΠΎΡΠ½ΠΎΠ²Π°ΠΌΠΈ ΡΠΎΠ·ΡΠΎΠ±ΠΊΠΈ ΡΠΌΠ°ΡΡ-ΠΊΠΎΠ½ΡΡΠ°ΠΊΡΡΠ².
- Π ΠΎΠ·ΡΠΌΡΠ½Π½Ρ ΠΏΡΠΈΠ½ΡΠΈΠΏΡΠ² Π΄Π΅ΡΠ΅Π½ΡΡΠ°Π»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ ΡΡΠ½Π°Π½ΡΡΠ² (DeFi) ΡΠ° ΠΊΡΠΈΠΏΡΠΎΠ²Π°Π»ΡΡ.
- ΠΠΎΡΠ²ΡΠ΄ Ρ ΠΊΠΎΠΌΠ΅ΡΡΡΠΉΠ½ΡΠΉ ΡΠΎΠ·ΡΠΎΠ±ΡΡ blockchain-ΡΡΡΠ΅Π½Ρ Π±ΡΠ΄Π΅ ΠΏΠ΅ΡΠ΅Π²Π°Π³ΠΎΡ.
ΠΠΌΡΠ½Π½Ρ Π΄ΠΎΡΡΡΠΏΠ½ΠΎ ΠΏΠΎΡΡΠ½ΡΠ²Π°ΡΠΈ ΡΠΊΠ»Π°Π΄Π½Ρ ΡΠ΅Ρ Π½ΡΡΠ½Ρ ΠΊΠΎΠ½ΡΠ΅ΠΏΡΡΡ.
Π©ΠΎ ΠΌΠΈ ΠΏΡΠΎΠΏΠΎΠ½ΡΡΠΌΠΎ:
- ΠΠ½ΡΡΠΊΠΈΠΉ Π³ΡΠ°ΡΡΠΊ ΡΠΎΠ±ΠΎΡΠΈ.
- ΠΠΎΠ½ΠΊΡΡΠ΅Π½ΡΠ½Ρ ΠΎΠΏΠ»Π°ΡΡ.
- ΠΠΎΠΆΠ»ΠΈΠ²ΡΡΡΡ Π²ΠΈΠΊΠ»Π°Π΄Π°ΡΠΈ Π² ΠΏΡΠΎΠ²ΡΠ΄Π½ΡΠΉ IT-Π°ΠΊΠ°Π΄Π΅ΠΌΡΡ.
- ΠΠΎΡΡΡΠΏ Π΄ΠΎ Π²Π½ΡΡΡΡΡΠ½ΡΡ Π½Π°Π²ΡΠ°Π»ΡΠ½ΠΈΡ ΡΠ΅ΡΡΡΡΡΠ² Ρ ΠΏΡΠΎΡΠ΅ΡΡΠΉΠ½Π΅ Π·ΡΠΎΡΡΠ°Π½Π½Ρ.
Π―ΠΊΡΠΎ ΡΠΈ ΠΌΠ°ΡΡ Π΄ΠΎΡΠ²ΡΠ΄ Ρ blockchain-ΡΠΎΠ·ΡΠΎΠ±ΡΡ ΡΠ° Ρ ΠΎΡΠ΅Ρ Π΄ΡΠ»ΠΈΡΠΈΡΡ Π·Π½Π°Π½Π½ΡΠΌΠΈ β Π½Π°Π΄ΡΠΈΠ»Π°ΠΉ ΡΠ²ΠΎΡ ΡΠ΅Π·ΡΠΌΠ΅! π
More -
Β· 47 views Β· 4 applications Β· 3d
AI specialist
Full Remote Β· Worldwide Β· Product Β· 3 years of experience Β· Upper-IntermediateΠΠΈ ΡΡΠΊΠ°ΡΠΌΠΎ AI ΡΠΏΠ΅ΡΡΠ°Π»ΡΡΡΠ°, ΡΠΊΠΈΠΉ ΠΊΠ΅ΡΡΠ²Π°ΡΠΈΠΌΠ΅ ΡΡΠ²ΠΎΡΠ΅Π½Π½ΡΠΌ Ρ ΡΠΎΠ·Π²ΠΈΡΠΊΠΎΠΌ ΡΠ½Π½ΠΎΠ²Π°ΡΡΠΉΠ½ΠΈΡ ΡΠΈΡΡΠΎΠ²ΠΈΡ ΠΏΡΠΎΠ΄ΡΠΊΡΡΠ². ΠΠ°Π½Π΄ΠΈΠ΄Π°Ρ ΠΏΠΎΠ²ΠΈΠ½Π΅Π½ Π²ΠΎΠ»ΠΎΠ΄ΡΡΠΈ ΡΠ΅Ρ Π½ΡΡΠ½ΠΈΠΌΠΈ Π·Π½Π°Π½Π½ΡΠΌΠΈ, Π½Π°Π²ΠΈΡΠΊΠ°ΠΌΠΈ ΡΠΏΡΠ°Π²Π»ΡΠ½Π½Ρ ΠΏΡΠΎΡΠΊΡΠ°ΠΌΠΈ, Π³Π»ΠΈΠ±ΠΎΠΊΠΈΠΌ ΡΠΎΠ·ΡΠΌΡΠ½Π½ΡΠΌ ΡΠ΅ΠΌΠ°ΡΠΈΡΠ½ΠΈΡ Ρ SEO-ΡΡΡΠ°ΡΠ΅Π³ΡΠΉ, Π° ΡΠ°ΠΊΠΎΠΆ ΡΠΌΡΠ½Π½ΡΠΌ ΠΊΠΎΠΎΡΠ΄ΠΈΠ½ΡΠ²Π°ΡΠΈ...ΠΠΈ ΡΡΠΊΠ°ΡΠΌΠΎ AI ΡΠΏΠ΅ΡΡΠ°Π»ΡΡΡΠ°, ΡΠΊΠΈΠΉ ΠΊΠ΅ΡΡΠ²Π°ΡΠΈΠΌΠ΅ ΡΡΠ²ΠΎΡΠ΅Π½Π½ΡΠΌ Ρ ΡΠΎΠ·Π²ΠΈΡΠΊΠΎΠΌ ΡΠ½Π½ΠΎΠ²Π°ΡΡΠΉΠ½ΠΈΡ ΡΠΈΡΡΠΎΠ²ΠΈΡ ΠΏΡΠΎΠ΄ΡΠΊΡΡΠ². ΠΠ°Π½Π΄ΠΈΠ΄Π°Ρ ΠΏΠΎΠ²ΠΈΠ½Π΅Π½ Π²ΠΎΠ»ΠΎΠ΄ΡΡΠΈ ΡΠ΅Ρ Π½ΡΡΠ½ΠΈΠΌΠΈ Π·Π½Π°Π½Π½ΡΠΌΠΈ, Π½Π°Π²ΠΈΡΠΊΠ°ΠΌΠΈ ΡΠΏΡΠ°Π²Π»ΡΠ½Π½Ρ ΠΏΡΠΎΡΠΊΡΠ°ΠΌΠΈ, Π³Π»ΠΈΠ±ΠΎΠΊΠΈΠΌ ΡΠΎΠ·ΡΠΌΡΠ½Π½ΡΠΌ ΡΠ΅ΠΌΠ°ΡΠΈΡΠ½ΠΈΡ Ρ SEO-ΡΡΡΠ°ΡΠ΅Π³ΡΠΉ, Π° ΡΠ°ΠΊΠΎΠΆ ΡΠΌΡΠ½Π½ΡΠΌ ΠΊΠΎΠΎΡΠ΄ΠΈΠ½ΡΠ²Π°ΡΠΈ ΡΠΎΠ±ΠΎΡΡ ΠΊΡΠΎΡ-ΡΡΠ½ΠΊΡΡΠΎΠ½Π°Π»ΡΠ½ΠΈΡ ΠΊΠΎΠΌΠ°Π½Π΄.
More
ΠΠ°ΠΌ ΠΏΠΎΡΡΡΠ±Π΅Π½ ΡΠ°Ρ ΡΠ²Π΅ΡΡ, ΡΠΊΠΈΠΉ Π·ΠΌΠΎΠΆΠ΅ Π°Π½Π°Π»ΡΠ·ΡΠ²Π°ΡΠΈ ΡΠΈΠ½ΠΎΠΊ, Π²ΠΈΡΠ²Π»ΡΡΠΈ ΠΏΠ΅ΡΡΠΏΠ΅ΠΊΡΠΈΠ²Π½Ρ Π½Π°ΠΏΡΡΠΌΠΊΠΈ ΡΠΎΠ·Π²ΠΈΡΠΊΡ ΡΠ° Π²ΠΏΡΠΎΠ²Π°Π΄ΠΆΡΠ²Π°ΡΠΈ ΠΏΠ΅ΡΠ΅Π΄ΠΎΠ²Ρ ΡΡΡΠ΅Π½Π½Ρ, ΡΠΎ Π΄Π°ΡΡΡ Π·ΠΌΠΎΠ³Ρ Traders Union Π·Π°Π»ΠΈΡΠ°ΡΠΈΡΡ Π»ΡΠ΄Π΅ΡΠΎΠΌ Π³Π°Π»ΡΠ·Ρ.
ΠΠ°ΡΠ΅ Π·Π°Π²Π΄Π°Π½Π½Ρ - ΡΡΠ²ΠΎΡΠΈΡΠΈ ΠΊΠΎΠ½ΠΊΡΡΠ΅Π½ΡΠ½ΠΈΠΉ ΠΏΡΠΎΠ΄ΡΠΊΡ.
ΠΠ΄Π΅Π°Π»ΡΠ½ΠΈΠΉ ΠΊΠ°Π½Π΄ΠΈΠ΄Π°Ρ Π²ΠΎΠ»ΠΎΠ΄ΡΡ ΡΡΡΠ°ΡΠ΅Π³ΡΡΠ½ΠΈΠΌ Π±Π°ΡΠ΅Π½Π½ΡΠΌ, Π°Π½Π°Π»ΡΡΠΈΡΠ½ΠΈΠΌ ΡΠΊΠ»Π°Π΄ΠΎΠΌ ΡΠΎΠ·ΡΠΌΡ Ρ Π·Π΄Π°ΡΠ½ΡΡΡΡ Π΅ΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎ Π²Π·Π°ΡΠΌΠΎΠ΄ΡΡΡΠΈ Π· ΠΊΠΎΠΌΠ°Π½Π΄Π°ΠΌΠΈ ΡΠΎΠ·ΡΠΎΠ±ΠΊΠΈ, ΠΌΠ°ΡΠΊΠ΅ΡΠΈΠ½Π³Ρ, ΠΊΠΎΠ½ΡΠ΅Π½ΡΡ, Π°Π½Π°Π»ΡΡΠΈΠΊΠΈ ΡΠΎΡΠΎ. ΠΠ°ΠΆΠ»ΠΈΠ²ΠΎ Π½Π΅ ΡΡΠ»ΡΠΊΠΈ ΠΊΠ΅ΡΡΠ²Π°ΡΠΈ ΠΏΡΠΎΡΠ΅ΡΠΎΠΌ ΡΡΠ²ΠΎΡΠ΅Π½Π½Ρ ΠΏΡΠΎΠ΄ΡΠΊΡΡ, Π° ΠΉ ΠΎΡΡΠ½ΡΠ²Π°ΡΠΈ ΠΉΠΎΠ³ΠΎ Π±ΡΠ·Π½Π΅Ρ-ΡΡΠ½Π½ΡΡΡΡ, ΡΠΏΠΈΡΠ°ΡΡΠΈΡΡ Π½Π° Π΄Π°Π½Ρ ΡΠ° ΠΌΠ΅ΡΡΠΈΠΊΠΈ.
ΠΡΠ½ΠΎΠ²Π½Ρ Π·Π°Π²Π΄Π°Π½Π½Ρ:
- Π ΠΎΠ·ΡΠΎΠ±ΠΊΠ° ΡΠ° ΡΠΏΡΠ°Π²Π»ΡΠ½Π½Ρ ΡΠΈΡΡΠΎΠ²ΠΈΠΌΠΈ ΠΏΡΠΎΠ΄ΡΠΊΡΠ°ΠΌΠΈ.
- Π€ΠΎΡΠΌΡΠ²Π°Π½Π½Ρ ΡΡΡΠ°ΡΠ΅Π³ΡΡ ΡΠΎΠ·Π²ΠΈΡΠΊΡ ΠΏΡΠΎΠ΄ΡΠΊΡΡ, ΠΉΠΎΠ³ΠΎ ΠΏΠΎΠ·ΠΈΡΡΠΎΠ½ΡΠ²Π°Π½Π½Ρ ΡΠ° ΠΊΠΎΠ½ΠΊΡΡΠ΅Π½ΡΠ½Ρ ΠΏΠ΅ΡΠ΅Π²Π°Π³ΠΈ.
- ΠΡΠΎΠ²Π΅Π΄Π΅Π½Π½Ρ Π΄ΠΎΡΠ»ΡΠ΄ΠΆΠ΅Π½Ρ ΡΠΈΠ½ΠΊΡ, Π°Π½Π°Π»ΡΠ· ΠΊΠΎΠ½ΠΊΡΡΠ΅Π½ΡΠ½ΠΎΠ³ΠΎ ΡΠ΅ΡΠ΅Π΄ΠΎΠ²ΠΈΡΠ° ΡΠ° ΠΊΠΎΡΠΈΡΡΡΠ²Π°ΡΡΠΊΠΈΡ ΠΏΠΎΡΡΠ΅Π±.
- ΠΠ·Π°ΡΠΌΠΎΠ΄ΡΡ Π· ΠΊΠΎΠΌΠ°Π½Π΄Π°ΠΌΠΈ ΡΠΎΠ·ΡΠΎΠ±ΠΊΠΈ, ΠΌΠ°ΡΠΊΠ΅ΡΠΈΠ½Π³Ρ, ΠΊΠΎΠ½ΡΠ΅Π½ΡΡ, Π΄ΠΈΠ·Π°ΠΉΠ½Ρ ΡΠ° Π°Π½Π°Π»ΡΡΠΈΠΊΠΈ Π΄Π»Ρ Π΄ΠΎΡΡΠ³Π½Π΅Π½Π½Ρ Π±ΡΠ·Π½Π΅Ρ-ΡΡΠ»Π΅ΠΉ.
- ΠΡΠ³Π°Π½ΡΠ·Π°ΡΡΡ Π΅ΡΠ΅ΠΊΡΠΈΠ²Π½ΠΈΡ ΠΏΡΠΎΡΠ΅ΡΡΠ² ΡΠΎΠ·ΡΠΎΠ±ΠΊΠΈ ΡΠ° ΠΏΠΎΠ»ΡΠΏΡΠ΅Π½Π½Ρ ΠΏΡΠΎΠ΄ΡΠΊΡΡ, Π·Π°Π±Π΅Π·ΠΏΠ΅ΡΠ΅Π½Π½Ρ Π΄ΠΎΡΡΠΈΠΌΠ°Π½Π½Ρ ΡΠ΅ΡΠΌΡΠ½ΡΠ² Ρ ΡΠΊΠΎΡΡΡ.
- ΠΠΎΡΡΡΠΉΠ½Π΅ Π²Π΄ΠΎΡΠΊΠΎΠ½Π°Π»Π΅Π½Π½Ρ ΠΊΠΎΡΠΈΡΡΡΠ²Π°ΡΡΠΊΠΎΠ³ΠΎ Π΄ΠΎΡΠ²ΡΠ΄Ρ, ΡΠΎΠ±ΠΎΡΠ° Π·Ρ Π·Π²ΠΎΡΠΎΡΠ½ΠΈΠΌ Π·Π²'ΡΠ·ΠΊΠΎΠΌ Ρ Π°Π½Π°Π»ΡΠ· ΠΏΠΎΠ²Π΅Π΄ΡΠ½ΠΊΠΈ ΠΊΠΎΡΠΈΡΡΡΠ²Π°ΡΡΠ².
- ΠΠΎΠ½ΡΡΠΎΠ»Ρ ΠΊΠ»ΡΡΠΎΠ²ΠΈΡ ΠΌΠ΅ΡΡΠΈΠΊ Π΅ΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΡ ΠΏΡΠΎΠ΄ΡΠΊΡΡ, ΡΠ΅ΡΡΡΠ²Π°Π½Π½Ρ Π³ΡΠΏΠΎΡΠ΅Π· Ρ Π²ΠΏΡΠΎΠ²Π°Π΄ΠΆΠ΅Π½Π½Ρ ΠΏΠΎΠ»ΡΠΏΡΠ΅Π½Ρ.
- ΠΠΈΡΠ²Π»Π΅Π½Π½Ρ Π½ΠΎΠ²ΠΈΡ ΠΌΠΎΠΆΠ»ΠΈΠ²ΠΎΡΡΠ΅ΠΉ Ρ ΡΠΎΡΠΎΠΊ Π·ΡΠΎΡΡΠ°Π½Π½Ρ, ΡΠΎΠ·ΡΠΎΠ±ΠΊΠ° Ρ Π·Π°ΠΏΡΡΠΊ Π½ΠΎΠ²ΠΈΡ ΡΡΠ½ΠΊΡΡΠΉ Ρ ΡΠ΅ΡΠ²ΡΡΡΠ².
ΠΠΈΠΌΠΎΠ³ΠΈ:
- ΠΠΎΡΠ²ΡΠ΄ ΡΠΎΠ±ΠΎΡΠΈ Π² ΡΠΎΠ»Ρ ΠΠ ΡΠΏΠ΅ΡΡΠ°Π»ΡΡΡΠ° Π²ΡΠ΄ 3 ΡΠΎΠΊΡΠ², Π±Π°ΠΆΠ°Π½ΠΎ Ρ ΡΡΠ΅ΡΡ ΡΡΠ½ΡΠ΅Ρ Π°Π±ΠΎ ΡΠ½ΡΠΎΡΠΌΠ°ΡΡΠΉΠ½ΠΈΡ ΡΠ΅Ρ Π½ΠΎΠ»ΠΎΠ³ΡΠΉ.
- ΠΡΠ°ΠΊΡΠΈΡΠ½ΠΈΠΉ Π΄ΠΎΡΠ²ΡΠ΄ ΡΠΏΡΠ°Π²Π»ΡΠ½Π½Ρ ΡΠΎΠ·ΡΠΎΠ±ΠΊΠΎΡ ΡΠΈΡΡΠΎΠ²ΠΈΡ ΠΏΡΠΎΠ΄ΡΠΊΡΡΠ².
- Π ΠΎΠ·ΡΠΌΡΠ½Π½Ρ ΠΏΡΠΈΠ½ΡΠΈΠΏΡΠ² agile-ΡΠΎΠ·ΡΠΎΠ±ΠΊΠΈ ΡΠ° Π²ΠΎΠ»ΠΎΠ΄ΡΠ½Π½Ρ ΡΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠ°ΠΌΠΈ ΡΠΏΡΠ°Π²Π»ΡΠ½Π½Ρ ΠΏΡΠΎΡΠΊΡΠ°ΠΌΠΈ (JIRA, Confluence).
- ΠΠ½Π°Π½Π½Ρ SEO, Π΄ΠΎΡΠ²ΡΠ΄ ΡΠΎΠ±ΠΎΡΠΈ Π· ΠΊΠΎΠ½ΡΠ΅Π½ΡΠ½ΠΈΠΌΠΈ ΡΡΡΠ°ΡΠ΅Π³ΡΡΠΌΠΈ ΡΠ° ΠΎΠΏΡΠΈΠΌΡΠ·Π°ΡΡΡΡ Π΄Π»Ρ ΠΏΠΎΡΡΠΊΠΎΠ²ΠΈΡ ΡΠΈΡΡΠ΅ΠΌ.
- ΠΠΎΠ»ΠΎΠ΄ΡΠ½Π½Ρ Π°Π½Π³Π»ΡΠΉΡΡΠΊΠΎΡ ΠΌΠΎΠ²ΠΎΡ Π½Π° ΡΡΠ²Π½Ρ Π½Π΅ Π½ΠΈΠΆΡΠ΅ B2.
- ΠΠ½Π°Π»ΡΡΠΈΡΠ½ΠΈΠΉ ΡΠΊΠ»Π°Π΄ ΡΠΎΠ·ΡΠΌΡ: Π²ΠΌΡΠ½Π½Ρ Π°Π½Π°Π»ΡΠ·ΡΠ²Π°ΡΠΈ Π΄Π°Π½Ρ, Π²ΠΈΡΠ²Π»ΡΡΠΈ ΡΡΠ΅Π½Π΄ΠΈ ΡΠ° ΡΡ Π²Π°Π»ΡΠ²Π°ΡΠΈ ΡΡΡΠ΅Π½Π½Ρ Π½Π° ΠΎΡΠ½ΠΎΠ²Ρ ΠΌΠ΅ΡΡΠΈΠΊ.
- ΠΠΎΡΠ²ΡΠ΄ Π²Π·Π°ΡΠΌΠΎΠ΄ΡΡ Π· ΡΠ΅Ρ Π½ΡΡΠ½ΠΈΠΌΠΈ ΠΊΠΎΠΌΠ°Π½Π΄Π°ΠΌΠΈ, Π²ΠΌΡΠ½Π½Ρ Π·Π½Π°Ρ ΠΎΠ΄ΠΈΡΠΈ ΠΎΠΏΡΠΈΠΌΠ°Π»ΡΠ½Ρ ΡΡΡΠ΅Π½Π½Ρ Π΄Π»Ρ ΡΠ΅Π°Π»ΡΠ·Π°ΡΡΡ ΡΠ΄Π΅ΠΉ.
-
Β· 16 views Β· 2 applications Β· 1d
Senior AI/ML Data Scientist to $4000
Full Remote Β· Ukraine Β· Product Β· 3 years of experience Β· IntermediateΠΠΎΠΌΠ°Π½Π΄Π°, ΡΠΎ Ρ Π²Π΅Π»ΠΈΠΊΠΈΠΌ fashion-retail Π³ΡΠ°Π²ΡΠ΅ΠΌ ΡΠ²ΡΡΠΎΠ²ΠΎΠ³ΠΎ ΡΠΈΠ½ΠΊΡ Π·Π°ΠΏΡΠΎΡΡΡ Π΄ΠΎ ΡΠ΅Π±Π΅ Senior AI and ML Data Scientist! ΠΡΠ½ΠΎΠ²Π½Ρ ΠΎΠ±ΠΎΠ²βΡΠ·ΠΊΠΈ Π½Π° ΠΏΠΎΡΠ°Π΄Ρ: β’ ΠΡΠΎΠ΅ΠΊΡΡΠ²Π°Π½Π½Ρ Ρ ΡΠ΅Π°Π»ΡΠ·Π°ΡΡΡ Π°ΡΡ ΡΡΠ΅ΠΊΡΡΡΠΈ ΡΠΈΡΡΠ΅ΠΌΠΈ; β’ ΠΠ±ΡΠΎΠ±ΠΊΠ°, ΠΏΡΠ΄Π³ΠΎΡΠΎΠ²ΠΊΠ° Ρ Π°Π½Π°Π»ΡΠ· Π΄Π°Π½ΠΈΡ ; β’ Π ΠΎΠ·ΡΠΎΠ±ΠΊΠ° Ρ...ΠΠΎΠΌΠ°Π½Π΄Π°, ΡΠΎ Ρ Π²Π΅Π»ΠΈΠΊΠΈΠΌ fashion-retail Π³ΡΠ°Π²ΡΠ΅ΠΌ ΡΠ²ΡΡΠΎΠ²ΠΎΠ³ΠΎ ΡΠΈΠ½ΠΊΡ Π·Π°ΠΏΡΠΎΡΡΡ Π΄ΠΎ ΡΠ΅Π±Π΅ Senior AI and ML Data Scientist!
ΠΡΠ½ΠΎΠ²Π½Ρ ΠΎΠ±ΠΎΠ²βΡΠ·ΠΊΠΈ Π½Π° ΠΏΠΎΡΠ°Π΄Ρ:
More
β’ ΠΡΠΎΠ΅ΠΊΡΡΠ²Π°Π½Π½Ρ Ρ ΡΠ΅Π°Π»ΡΠ·Π°ΡΡΡ Π°ΡΡ ΡΡΠ΅ΠΊΡΡΡΠΈ ΡΠΈΡΡΠ΅ΠΌΠΈ;
β’ ΠΠ±ΡΠΎΠ±ΠΊΠ°, ΠΏΡΠ΄Π³ΠΎΡΠΎΠ²ΠΊΠ° Ρ Π°Π½Π°Π»ΡΠ· Π΄Π°Π½ΠΈΡ ;
β’ Π ΠΎΠ·ΡΠΎΠ±ΠΊΠ° Ρ ΡΠ΅ΡΡΡΠ²Π°Π½Π½Ρ ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ ΠΌΠ°ΡΠΈΠ½Π½ΠΎΠ³ΠΎ Π½Π°Π²ΡΠ°Π½Π½Ρ, Π° ΡΠ°ΠΊΠΎΠΆ ΡΡ Π²ΠΏΡΠΎΠ²Π°Π΄ΠΆΠ΅Π½Π½Ρ;
β’ Π‘ΡΠΏΡΠΎΠ²ΡΠ΄ ΡΡΠ½ΡΡΡΠΈΡ ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ;
β’ ΠΠ°ΡΡΠΎΡΡΠ²Π°Π½Π½Ρ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ½ΠΈΡ ΠΌΠ΅ΡΠΎΠ΄ΡΠ² Π΄Π»Ρ Π°Π½Π°Π»ΡΠ·Ρ Ρ ΡΠ½ΡΠ΅ΡΠΏΡΠ΅ΡΠ°ΡΡΡ Π΄Π°Π½ΠΈΡ , ΠΏΠΎΡΡΠΊ Π·Π°ΠΊΠΎΠ½ΠΎΠΌΡΡΠ½ΠΎΡΡΠ΅ΠΉ ΡΠ° ΡΠ½ΡΠ°ΠΉΡΡΠ² Π΄Π»Ρ ΠΏΠΎΠ»ΡΠΏΡΠ΅Π½Π½Ρ ΡΠΊΠΎΡΡΡ ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ;
β’ ΠΠ²ΡΠΎΠΌΠ°ΡΠΈΠ·Π°ΡΡΡ Ρ ΡΠ°Π±Π»ΠΎΠ½ΡΠ·Π°ΡΡΡ Π·Π°Π²Π΄Π°Π½Ρ, ΡΠΎ ΠΏΠΎΠ²ΡΠΎΡΡΡΡΡΡΡ;
β’ Π ΠΎΠ·ΡΠΎΠ±ΠΊΠ° Ρ ΡΡΠΏΡΠΎΠ²ΡΠ΄ Π°Π»Π³ΠΎΡΠΈΡΠΌΡΠ² Π΄Π»Ρ ΡΠ΅ΠΊΠΎΠΌΠ΅Π½Π΄Π°ΡΡΠΉΠ½ΠΈΡ ΡΠΈΡΡΠ΅ΠΌ;
β’ Π‘ΠΏΡΠ²ΠΏΡΠ°ΡΡ Π· ΠΊΡΠΎΡΡ-ΡΡΠ½ΠΊΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΠΌΠΈ ΠΊΠΎΠΌΠ°Π½Π΄Π°ΠΌΠΈ Π΄Π»Ρ ΡΠ΅Π°Π»ΡΠ·Π°ΡΡΡ ΡΡΡΠ΅Π½Ρ;
β’ ΠΡΠΎΠ²Π΅Π΄Π΅Π½Π½Ρ ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ½ΠΎΠ³ΠΎ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΡΠ·Ρ Π½Π° Π²Π΅Π»ΠΈΠΊΠΈΡ ΠΌΠ°ΡΠΈΠ²Π°Ρ Π΄Π°Π½ΠΈΡ Π΄Π»Ρ ΠΏΡΠ΄ΡΠ²Π΅ΡΠ΄ΠΆΠ΅Π½Π½Ρ ΠΏΡΠ°Π²ΠΈΠ»ΡΠ½ΠΎΡΡΡ ΠΏΡΠΈΠΉΠ½ΡΡΡΡ Π±ΡΠ·Π½Π΅Ρ-ΡΡΡΠ΅Π½Ρ.
ΠΠ°ΡΡ ΠΏΠΎΠ±Π°ΠΆΠ°Π½Π½Ρ Π΄ΠΎ ΠΊΠ°Π½Π΄ΠΈΠ΄Π°ΡΠ°:
β’ 3+ ΡΠΎΠΊΠΈ ΠΏΡΠ΄ΡΠ²Π΅ΡΠ΄ΠΆΠ΅Π½ΠΎΠ³ΠΎ ΠΊΠΎΠΌΠ΅ΡΡΡΠΉΠ½ΠΎΠ³ΠΎ Π΄ΠΎΡΠ²ΡΠ΄Ρ;
β’ 3+ ΡΠΎΠΊΡΠ² Python, R Ρ ΠΏΠΎΠ²'ΡΠ·Π°Π½ΠΈΡ Π· Π½ΠΈΠΌ ΠΏΠ°ΠΊΠ΅ΡΡΠ², ΡΠ°ΠΊΠΈΡ ΡΠΊ Scikit - learn, Shap, Pandas;
β’ ΠΠΈΡΠΎΠΊΠΈΠΉ ΡΡΠ²Π΅Π½Ρ Π·Π½Π°Π½Ρ Π² SQL (CTE, window functions);
β’ ΠΠΏΠ΅Π²Π½Π΅Π½Π½Ρ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ½Ρ Π·Π½Π°Π½Π½Ρ ( ΠΏΠ΅ΡΠ΅Π²Π°ΠΆΠ½ΠΎ ΠΎΡΠ²ΡΡΠ° Π² ΠΎΠ±Π»Π°ΡΡΡ ΠΊΠΎΠΌΠΏ'ΡΡΠ΅ΡΠ½ΠΈΡ Π½Π°ΡΠΊ Π°Π±ΠΎ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΠΊΠΈ);
β’ ΠΠΎΡΠ²ΡΠ΄ ΡΠΎΠ±ΠΎΡΠΈ Π· Π²Π΅Π»ΠΈΠΊΠΈΠΌΠΈ ΠΌΠ°ΡΠΈΠ²Π°ΠΌΠΈ Π΄Π°Π½ΠΈΡ , ΡΡΠ°ΡΠΈΡΡΠΈΡΠ½ΠΈΠΌ Π°Π½Π°Π»ΡΠ·ΠΎΠΌ, Π°Π»Π³ΠΎΡΠΈΡΠΌΠ°ΠΌΠΈ ΠΌΠ°ΡΠΈΠ½Π½ΠΎΠ³ΠΎ Π½Π°Π²ΡΠ°Π½Π½Ρ Ρ ΡΠΎΠ·ΡΠΎΠ±ΠΊΠΎΡ ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ;
β’ ΠΡΠ΄ΠΌΡΠ½Π½Ρ ΠΊΠΎΠΌΡΠ½ΡΠΊΠ°ΡΠΈΠ²Π½Ρ Π½Π°Π²ΠΈΡΠΊΠΈ Π΄Π»Ρ Π΅ΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡ Π²Π·Π°ΡΠΌΠΎΠ΄ΡΡ ΡΠ· Π·Π°ΡΡΠΊΠ°Π²Π»Π΅Π½ΠΈΠΌΠΈ ΡΡΠΎΡΠΎΠ½Π°ΠΌΠΈ ( ΡΠΊ ΡΠ΅Ρ Π½ΡΡΠ½ΠΎΠ³ΠΎ ΡΠ°ΠΊ Ρ Π½Π΅ ΡΠ΅Ρ Π½ΡΡΠ½ΠΎΠ³ΠΎ Ρ Π°ΡΠ°ΠΊΡΠ΅ΡΡ).
ΠΠ΅ΡΠ΅Π²Π°Π³ΠΎΡ Π±ΡΠ΄Π΅:
β’ ΠΠ΄Π°ΡΠ½ΡΡΡΡ Π²ΠΈΡΠ²Π»ΡΡΠΈ ΠΏΠ΅ΡΡΠΏΠ΅ΠΊΡΠΈΠ²Π½Ρ ΡΡΠ΅Π½Π°ΡΡΡ Π΄Π»Ρ ΡΡΠ²ΠΎΡΠ΅Π½Π½Ρ Π΄ΠΎΠ΄Π°ΡΠΊΠΎΠ²ΠΈΡ ΡΡΠ½Π½ΠΎΡΡΠ΅ΠΉ Ρ Π±ΡΠ·Π½Π΅ΡΡ;
β’ ΠΠΎΡΠ²ΡΠ΄ ΡΠΎΠ±ΠΎΡΠΈ Ρ ΡΡΠ΅ΡΡ ΡΠΎΠ·Π΄ΡΡΠ±Π½ΠΎΡ ΡΠΎΡΠ³ΡΠ²Π»Ρ;
β’ ΠΠ½Π°ΠΉΠΎΠΌΡΡΠ²ΠΎ Π· ΡΡΠ΅ΠΉΠΌΠ²ΠΎΡΠΊΠ°ΠΌΠΈ Ρ Π±ΡΠ±Π»ΡΠΎΡΠ΅ΠΊΠ°ΠΌΠΈ ΡΡΡΡΠ½ΠΎΠ³ΠΎ ΡΠ½ΡΠ΅Π»Π΅ΠΊΡΡ, ΡΠ°ΠΊΠΈΠΌΠΈ ΡΠΊ TensorFlow, PyTorch Π°Π±ΠΎ Langchain;
β’ ΠΠΎΡΠ²ΡΠ΄ ΡΠΎΠ±ΠΎΡΠΈ Π· ΡΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠ°ΡΡΡΠΌ Scientific Python (NumPy, pandas, Scikit - learn, Keras / TensorFlow Π°Π±ΠΎ PyTorch);
β’ ΠΠΎΡΠ²ΡΠ΄ ΡΠΎΠ±ΠΎΡΠΈ Π· ΡΠ΅Ρ Π½ΠΎΠ»ΠΎΠ³ΡΡΠΌΠΈ ΠΎΠ±ΡΠΎΠ±ΠΊΠΈ Π²Π΅Π»ΠΈΠΊΠΈΡ Π΄Π°Π½ΠΈΡ , ΡΠ°ΠΊΠΈΠΌΠΈ ΡΠΊ Hadoop, Spark Π°Π±ΠΎ Hive;
β’ ΠΠΎΡΠ²ΡΠ΄ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½Π½Ρ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ½ΠΈΡ Π΄ΠΎΡΠ»ΡΠ΄ΠΆΠ΅Π½Ρ Ρ A/B- ΡΠ΅ΡΡΡΠ²Π°Π½Π½Ρ;
β’ ΠΠΎΡΠ²ΡΠ΄ ΡΠΎΠ±ΠΎΡΠΈ Π· ΡΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠ°ΠΌΠΈ Ρ ΠΌΠ΅ΡΠΎΠ΄Π°ΠΌΠΈ Π²ΡΠ·ΡΠ°Π»ΡΠ·Π°ΡΡΡ Π΄Π°Π½ΠΈΡ .