Jobs

• Help find a scalable solution for faster data extraction from a postgres database with millions of rows
• Seek consultation from experienced data engineer

• Analytics Engineering
• Strong SQL
• Optimize/speed-up SQL queries
• Knowledge of elastic search

📧 hr@smartsolution.com
📱 @buna_seara_aqrt

• Developing prompts for AI image generation
• Improving image quality and consistency
• Optimizing AI models
• Staying updated on AI art trends
• Collaborating with developers and artists
• Experimenting with different styles

• AI image generation and prompt engineering
• Proficiency in SDXL, Midjourney, DALL·E, A1111, and ComfyUI
• Ability to assess AI-generated images
• Familiarity with optimizing AI models using Checkpoints and LoRA
• Understanding of AI-generated art trends

• Experience with Python and Jinja2
• Background in drawing or photography
• Knowledge of styling AI-generated images

📧 hiring@headshotit.com
📱 @researcher_headshot

• Design and develop analytical solutions
• Create user-friendly Power BI dashboards
• Ensure high data quality
• Collaborate with stakeholders and data engineers

• 1+ years in BI, Data Analysis, or Analytics Engineering
• Strong SQL & Power BI skills
• Experience delivering analytics solutions & insights
• Fluent English (B2/C1)

• Python
• E-commerce familiarity

📧 r.cio@autodoc.eu

• Design and implement time series forecasting models
• End-to-End ML Pipeline Ownership
• Write production-ready code
• Scalability & Deployment using Kubernetes, Docker, AWS
• Collaborate with cross-functional teams
• Implement Model Monitoring & Maintenance

• Expert in Time Series Modeling
• Anomaly Detection Expertise
• Strong Programming Skills
• Data Engineering Skills
• Production ML Deployment
• Problem-Solving & Optimization Skills

• Big Data & Streaming tools experience

📧 ryan@umatr.io

• Maintain and develop computer vision models for ALPR and vehicle recognition
• Optimize models for real-time performance
• Deploy ML models on cloud platforms
• Work with large-scale image and video datasets
• Ensure robustness against environmental conditions
• Implement MLOps best practices

• Commercial experience with ALPR solutions
• Python (PyTorch, TensorFlow, OpenCV, NumPy)
• Computer vision and deep learning architectures
• Experience in deploying ML models to edge devices or cloud environments
• Knowledge of MLOps tools
• Understanding of data structures, algorithms, and software engineering principles

• OCR-based models or license plate recognition
• Synthetic data generation
• Reinforcement learning or self-supervised learning for vision tasks

📱 @glorytrip

• Develop, maintain, and optimize SQL/Python data models in DBT
• Develop Python scripts for data ingestion from various sources
• Orchestrate ETL/ELT pipelines using Apache Airflow (Astro CLI)
• Design data warehouse (DWH) data models (ClickHouse)
• Prioritize tasks from different stakeholders (internal and external)
• Document data models and ETL/ELT processes

• Higher education / 2+ years experience with data
• Python (Data processing, API)
• Data modeling: Kimball, Inmon, OBT
• Experience with DBT
• Strong SQL knowledge (query optimization, window functions, CTE)
• Experience with ETL processes and MPP databases (ClickHouse)

• Minio S3
• Apache Spark
• Kubernetes

📧 darkhan.kassimbekov@digitaleconomy.kz
📱 @darkhan_k

• Develop and deploy ML models in production
• Implement CV tasks like object detection
• Integrate CV with NLP/audio

• Python, TensorFlow, PyTorch.
• Experience with LLMs (fine-tuning, prompt engineering, building RAG systems)
• Understanding of NLP architectures (Transformers, RNNs) and techniques (text classification, NER, text generation)
• Experience with agent frameworks: LangChain, LangGraph, CrewAI.
• Implementation of CV tasks: image/video processing, object detection/segmentation/tracking, recognition.
• Knowledge of architectures: CNNs, Vision Transformers, GANs.

• MLOps experience
• Multimodal AI
• Optimization knowledge

📧 a.churakova@2uplab.com
📱 @namstyach

• Model validation including backtesting and statistical testing
• Development of alternative approaches and models

• Higher education in computer science, mathematics, statistics, economics/finance.
• Knowledge of Python, R (at least one of them).
• Experience in credit models - scoring, IFRS-9 (PD, LGD, EAD).
• Knowledge of statistics - distributions, moments, hypothesis testing
• Knowledge of econometrics - linear, logistic regression, regularization
• Experience with time series - autoregressive models, volatility models, VaR, autocorrelation
• Knowledge of machine learning fundamentals- trees, boosting, hyperparameter optimization, cross-validation, confusion matrix, etc

📧 khairli@fortebank.com (preferable)
📱 @askar_khai