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Senior AI Engineer building and deploying ML/deep-learning models for business tasks, integrating them into production via APIs and microservices, and researching LLMs and generative AI. Core stack: Python with TensorFlow, PyTorch, scikit-learn, plus SQL/NoSQL databases; on-site in Tashkent.
Junior ML engineer in a bank's risk management team, developing and monitoring classification, uplift, and regression models (price elasticity, early repayment and loan disbursement prediction, interest rate uplift) for credit products. Core stack: Python (catboost, xgboost, lightgbm, scikit-learn), SQL, pandas, and visualization tools.
A senior engineer-economist who designs, deploys, and productionizes ML systems applying causal inference and econometrics to marketplace problems like pricing, matching, logistics, advertising, and uplift modeling at a large multi-sided marketplace. Core stack: Python, SQL, Pandas, scikit-learn, XGBoost, and cloud ML infrastructure.
Build and scale ML systems for programmatic ad-bidding optimization, including real-time auctions and yield models, using Python, TensorFlow, and PySpark.
Build and deploy ML models in Python (TensorFlow/PyTorch) to power ad-targeting systems, then monitor them in production and iterate weekly.
Design and evangelize AI/ML solutions for healthcare clients, building predictive models, NLP workflows, and MLOps pipelines while ensuring compliance and scalability.
Чем нужно будет заниматься: Цель: Построение прогнозных моделей спроса/предложения, моделей эластичности, оптимизация цены с использованием ML. Ключевые задачи: - Построение прогнозных моделей спроса и предложения -…
The Senior Machine Learning Engineer will design, build, and deploy personalization models to improve user recommendations and retention within the Too Good To Go marketplace. The role involves working with a Python-based stack including Metaflow, Airflow, and cloud infrastructure to drive marketing personalization efforts.
Junior ML/Data Engineer at the management company of the Alabuga special economic zone: prepares tabular, streaming and video data, builds simple ETL/ELT pipelines, helps train and compare ML models and integrates them into backend services via REST APIs. Core stack: Python, SQL, pandas/NumPy/scikit-learn/PyTorch, Docker, Git.
Designs and implements AI/ML algorithms for ad decisioning, bid auctioning, and creative optimization in digital advertising, using Python, TensorFlow, and real-time data pipelines.
Build and deploy ML models (regression, deep learning, LLMs) to power hotel-commerce features like demand forecasting and recommendations using Python, PySpark, and Databricks.
Job Title: Machine Learning Engineer Job Type: Contractor Location: Remote About the hiring company: Our client is a rapidly growing, venture-backed AI company helping shape the next generation of intelligent systems.…
Builds production-grade LLM agents and classical ML models for bank collateral evaluation, integrating retrieval, agentic workflows, and risk controls in a regulated finance setting.
The Staff Software Engineer will help build and scale Xometry's India engineering team, focusing on full-stack development for their AI-driven manufacturing marketplace. The role involves hands-on coding in Python, React, and TypeScript, while mentoring engineers and integrating AI tools into the development lifecycle.
Senior Data Scientist at Xometry, a marketplace connecting buyers with manufacturers, based in Bangalore as a founding data scientist for the India product development center. The role leads analytics, experimentation, and statistical/ML work using SQL, Python, AWS, Snowflake, and Looker to drive product and business decisions.
What will you get to do here? Design, develop, and deploy scalable optimization algorithms for supply chain, assortment planning etc. Translate business problems into mathematical formulations using tools like Linear…
Mid-level Data Scientist in VTB Bank's technology division (Moscow, on-site) who analyzes data to find patterns and anomalies in IT and partnership processes, builds forecasting and resource-load optimization models, and integrates them into production. Core stack: Python (pandas, scikit-learn), graph libraries (NetworkX), NLP/time series, and dashboards (Dash/Streamlit).
Senior Consultant AI/ML Engineer in EY's AI and Data practice in Quebec: works with client stakeholders to design, integrate, and test AI/ML solutions within client technology stacks. Core stack is Python with TensorFlow/PyTorch/Scikit-learn, cloud AI services (AWS, Azure, GCP), Git, and AI testing tools; bilingual French/English is required.
An Agentic AI Architect in Ireland designs and delivers enterprise-grade AI solutions built on Claude/Anthropic APIs, RAG, agentic workflows, and cloud platforms (AWS, Azure, GCP). Day to day they lead architecture, proof-of-concepts, deployment, and governance with client stakeholders, using Python, SQL, and modern LLM/ML tooling, with some travel required.
Lead a team to build and deploy AI/ML models that optimize healthcare revenue cycle operations, using Python, SQL, and Azure to turn RCM data into actionable insights.
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