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.
Wir erweitern bei LOBECO unser Kernteam für Customized MARTECH AI Solution Development - von Rapid Prototyping , über MVP bis hin zu enterprise -grade KI-Softwarelösungen, die in die IT unserer Großkunden integriert…
Designs and delivers enterprise-grade AI/ML solutions for Fortune 500 clients, leading end-to-end ML pipelines and client engagements on Databricks and cloud platforms.
Intern CV ML Engineer developing and deploying computer vision models for document recognition and VLM-based data extraction in banking. Core stack: PyTorch, Git, DVC, MLFlow/ClearML, pytest.
Lead the design and deployment of production AI/ML and GenAI solutions—LLMs, agentic AI, RAG—on Databricks and major cloud platforms, establishing MLOps/LLMOps practices for enterprise clients.
The AI Engineer will design, develop, and deploy generative AI solutions, including LLMs, RAG, and agents, with a focus on production-grade Python applications. The role involves collaborating with data teams to industrialize AI models while ensuring security and governance compliance.
ООО «Цифровые технологии» - это аккредитованная ИТ-компания, входящая в группу компаний «ЭКТО». Занимаемся цифровизацией и автоматизацией бизнес-процессов в нефтяной отрасли, а также развиваем собственные ИТ-проекты.…
Designs and maintains high-performance Python applications for AI/ML use cases, focusing on scalable backend systems, APIs, and data pipelines while collaborating with cross-functional teams to optimize production systems and mentor developers.
Key Responsibilities • Develop and implement architectural approaches, reference designs, and modular components to support the scalable growth of AI & Data products. • Build predictive solutions such as…
Designs and builds scalable cloud-based data and AI platforms using Databricks, focusing on robust pipelines, Lakehouse architectures, and GenAI solutions.
Leads AI product development by designing scalable agentic systems, optimizing LLMs for production, and mentoring teams on MLOps best practices for digital assistants.
ML Engineer designing, deploying, and maintaining production ML systems for healthcare, transport, and HR products using Python, PyTorch, scikit-learn, and MLOps tools like MLflow in a hybrid Quebec office.
Build and deploy enterprise-grade Agentic AI systems, LLMs, and Generative AI solutions for autonomous workflows in investment banking and global markets.
Design and deploy AI models that process high-frequency sensor data from IoT devices to enable real-time automation in physical infrastructure systems.
Lead Software Engineer driving AI/ML adoption and building scalable ML systems (batch and real-time inference) for JPMorgan Chase's Home Lending Servicing group, focusing on MLOps, LLM patterns, and AI-assisted engineering practices.
Senior Data Lakehouse Architect (Databricks), Vice President Corporate Functions Technology Who We Are Looking For We are seeking a Senior Data Lakehouse Architect to design and lead the build-out of a Legal Data…
Lead Software Engineer on JPMorgan Chase's AIML Data Platforms team, designing and operating cloud-native infrastructure (AWS, Kubernetes, Terraform) that enables data scientists and ML engineers to train and deploy models at scale.
Embed with enterprise customers to prototype and deploy full-stack AI/ML solutions on Cloudera, turning complex data into actionable insights using modern AI stacks.
Builds and operationalizes Microsoft Fabric-based data and MLOps platforms for enterprise clients, focusing on governed environments, pipelines, CI/CD, data quality, and observability to enable client data science teams to deploy models reliably in production.
The Data Scientist II will develop and maintain advanced time-series forecasting models and AI-driven solutions to support commercial and strategic decision-making. The role involves leveraging Python, MLOps practices, and large-scale data ecosystems to architect scalable analytical workflows within the pharmaceutical domain.
This role involves leading GenAI and data science initiatives to optimize pharmaceutical product development processes. The manager will collaborate with scientific teams to build scalable AI solutions, frame complex problems, and mentor practitioners in applying advanced modeling techniques.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
