Вакансии

• 3+ years of proven experience in Computer Vision projects
• Knowledge of Computer Vision, neural networks, image processing, and object recognition
• Experience with Deep Learning (object detection, traction, classification)
• Knowledge and experience in applying modern CV algorithms
• Proficiency in Python

• Experience with Git and Docker
• Experience with video stream analysis libraries
• Experience in Linux development

@an_ra_u

• HR metrics monitoring and analysis
• Employee turnover calculation
• Employee engagement surveys administration and analysis
• Compensation analysis
• Budgeting process participation
• Predictive analytics implementation

• Strong Excel, Power BI skills
• Analytics
• Working with quantitative data, finding relationships, constructing diagrams, dashboards
• Interest in working in the field of remuneration, budgeting
• Understanding the HR metrics

• Python, SQL
• Experience in HR analytics

assamanzholova@fortebank.com
+7 705 253 0150

• Developing and integrating chatbots in WhatsApp, Telegram, Instagram
• Configuring and optimizing interfaces for AI interaction
• Implementing machine learning-based solutions for communication automation
• Developing algorithms for AI model adaptation and learning
• Analyzing large volumes of data

• Deep knowledge and experience in developing and integrating chatbots in WhatsApp
• Proficiency in working with messaging services like Twilio and SendPulse
• Significant experience in AI and machine learning
• Professional mastery of Python and AI frameworks (e.g., TensorFlow, PyTorch)
• Portfolio of successfully implemented AI projects
• Experience with API chatgpt and messenger platforms

@serkhan01

• Stay updated on LLM research
• Clear explanation of AI concepts

• Experience successfully training LLMs with billions of parameters, preferably at pre-training, fine-tuning, and reinforcement learning
• Deep understanding of ML, DL (MLP, CNN, RNN), generative deep learning (VAE, GAN, LSTM, Diffusion), transformer architectures, LLMs, and reinforcement learning
• Knowledge of MLOps (RAG and multi-agent pipelines)
• Python, PyTorch and C++
• Advanced degree in Computer Science, Mathematics, or a related field. Strong background in mathematics (linear algebra, calculus, optimization methods, probability theory, and statistics)
• Staying up to date with LLM research
• Ability to explain complex AI concepts and architectures clearly

julial@forgood.ai

• Validation of models - backtesting of model outputs, critical review and statistical testing of model components
• Development of alternative models or individual components that can be improved
• Assessment of model risk

• Higher education in computer science, mathematics, statistics, economics/finance
• Knowledge of Python and R
• Knowledge of statistics and data analysis methods, creation of statistical models and methods of their analysis
• Understanding of how banks work and the lending process
• Experience with risk assessment models - PD, LGD, EAD, CCF, scoring, rating model, VaR
• Knowledge of machine learning methods and their application in tasks such as classification, regression, etc
• Understanding of time series analysis

khairli@fortebank.com
@ikapan

• 2+ years of practical experience in machine learning, data analysis, and predictive modeling
• Python, including libraries like Scikit-learn, PyTorch, TensorFlow or similar
• Experience with natural language processing (NLP) and computer vision
• Strong understanding of classical machine learning algorithms and deep learning architectures, LLM, diffusion models
• Strong software development skills and knowledge of advanced software development methods (Git, Linux, Docker, OOP principles, API development)
• Excellent communication skills, ability to explain complex technical concepts to non-technical stakeholders
• SQL, Spark, Hadoop

e.khamenko@2uplab.com
@Khamenko

• Business analysis
• BI analysis
• Testing BI solutions

• Working with business requirements throughout their lifecycle
• Data analysis and profiling in any DB
• Algorithm development and programming, proficient in SQL (preferably T-SQL) and Python
• Working with BI tools stack (MS SQL Management Studio, MS SSRS, Power BI, Tableau, MS Excel, Open Source BI)
• Testing BI solutions
• Knowledge of Agile methodologies

• ETL/ELT tools (MS SSIS, Airflow)
• DWH tools (MS SQL Server 2017, Visual Studio)
• Confluence/Jira/Bitbucket
• BPMN notation and UML language for business process analysis
• Agile methodologies

balzhan.kalikova@kmf.kz

• Conduct data research to identify dependencies and improve model quality
• Develop and test hypotheses to improve business metrics
• Model and process data in Python to extract value
• Develop analytical solutions and pipelines for domain-specific business tasks
• Deploy models and pipelines in production environment
• Monitor quality of models and pipelines

• Data analysis experience 1-3 years
• Python
• ML/DA libraries (SciPy, Sklearn, PyTorch, Seaborn, Plotly, Matplotlib)
• Clickhouse, MySQL, PostgreSQL
• AirFlow
• Git

d.asalhanov@autodoc.eu
https://t.me/cosa31