Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Лаборатория искусственного интеллекта - это новый отдел, основной задачей которого является внедрение технологий ИИ в бизнес-процессы банка. Мы развиваем свою MLOps платформу (Kubernetes, JupyterHub, AirFlow, MLflow и…
Lead a team building production-grade AI systems—from classical ML to LLM-powered agents—while shaping client solutions, pre-sales pitches, and team standards.
Builds and deploys end-to-end AI/ML models (forecasting, classification, LLMs) for clients, owns data pipelines, and mentors junior scientists while ensuring production-readiness and business impact.
This Senior Associate role at PwC involves developing and deploying AI and machine learning solutions, including GenAI and statistical models, within the Palantir Foundry platform to support risk management and regulatory compliance for clients. The position requires expertise in data engineering, model development, and cross-functional collaboration to deliver scalable analytical workflows.
The role involves applying machine learning algorithms to solve business problems, collecting data, and presenting analytical reports to stakeholders. The position requires proficiency in Python, SQL, and statistical modeling techniques.
Build and ship AI agents and LLM-powered services on Databricks and Azure, automating workflows in contracting, commissions, and distribution operations for an insurance company.
Forward-deployed data scientist at SAP designing and deploying advanced ML and statistical solutions directly in customer environments, using Python, SQL, and frameworks like TensorFlow/PyTorch on top of SAP data platforms.
Build and deploy AI models and systems for Amgen’s AI Studio, turning business challenges into scalable AI products using Python, SQL, GenAI, RAG, and cloud-native tools.
Designs and evaluates scalable machine learning architectures for a large U.S. bank, guiding adoption of cloud-based ML platforms and MLOps practices to enable predictive modeling and AI-driven financial solutions.
The Data Scientist III leads the end-to-end development and deployment of production-grade machine learning models for customer intelligence and behavioral prediction. The role involves mentoring team members and collaborating with engineering and MLOps teams to deliver scalable analytical solutions within a financial services environment.
Senior Data Engineer building and maintaining data products and pipelines for Prima's pricing and underwriting domain, working with Kafka, Flink, Spark, Python, AWS, and SQL databases.
Builds and optimizes ML models to classify job candidates from CVs, using Python, Scikit-learn, and XGBoost to analyze large datasets and improve hiring workflows.
The Senior Data Scientist will lead end-to-end machine learning projects, from business problem conception to deployment and monitoring, within a healthcare environment. The role focuses on building scalable AI solutions using Python, GCP, and MLOps practices, while mentoring junior team members.
Senior AI & Data Scientist owning models end-to-end—from problem framing through production—using Python, ML algorithms, and LLMs (RAG, fine-tuning, evaluation) on client consulting engagements.
Develop and deploy ML models for risk scoring and threat intelligence on a cybersecurity ratings platform, using Python, ML frameworks like scikit-learn/XGBoost/PyTorch, and cloud-based data pipelines.
Senior API developer designing and building REST API platforms (Apigee), web applications (React, Node.js, Next.js), and AI/ML integrations (LangChain, RAG, XGBoost) on-site in Toronto.
Builds and maintains Azure-based ELT pipelines and ML forecasting models (XGBoost, Prophet, ARIMA) to analyze HRIS data and predict workforce trends at scale.
Data Engineer bridging Azure pipeline architecture and ML forecasting model development for enterprise-scale workforce analytics, using Azure SQL, Databricks, Python, and Power BI.
Lead applied ML projects for industry clients, mentor junior staff, and translate academic research into practical solutions using Python, PyTorch, and related ML frameworks at an AI research institute in Edmonton.
Senior Consultant applying data science, AI, and analytics to healthcare and life sciences commercial challenges—building predictive models, supporting AI solutions, and delivering client-ready insights using Python, SQL, and ML techniques.
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