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.
Builds AI-powered automation solutions for internal business processes (Finance, HR, Logistics) by designing agentic systems, integrating LLMs/RAG, and deploying scalable production-grade models while ensuring security, governance, and observability.
Architect, build, and scale backend services for an agentic AI platform at Adobe, designing APIs, data pipelines, and agent orchestration infrastructure using Python, LLMs, vector databases, and cloud platforms.
The Senior Machine Learning Engineer will manage the end-to-end lifecycle of ML and LLM-based solutions, focusing on model optimization, deployment, and MLOps infrastructure. The role involves developing agent systems and collaborating with cross-functional teams to integrate scalable machine learning models into production.
¿Por qué te estamos buscando? Tu misión será impulsar la capacidad de Data Science dentro del equipo de Data&IA en Mahou San Miguel, trabajando activamente con las diferentes áreas de negocio, en el desarrollo de…
The Staff Data Scientist will lead the design and implementation of evaluation frameworks for AI and agentic systems at RBC, ensuring model quality, safety, and performance. This role involves defining evaluation standards, mentoring junior scientists, and collaborating across teams to integrate rigorous AI testing into production workflows.
Leads enterprise AI platform architecture for Nutanix, designing GPU/Kubernetes-based AI infrastructure, MLOps/LLMOps, RAG, and Generative AI solutions for hybrid/multi-cloud environments. Advises customers on AI strategy, model serving, and production-grade AI deployments.
Lead the design, development, and deployment of AI/ML and Generative AI solutions for semiconductor/NAND manufacturing and business operations using Python, ML frameworks, and MLOps pipelines.
This role is a 1-year onsite contract for a Senior QA Specialist to plan and execute testing strategies for web, mobile, and AI/ML-enabled applications. The position requires extensive experience in automated testing, accessibility compliance (AODA/WCAG), and validating AI-assisted workflows.
Senior QA Specialist testing web/mobile and AI/ML-enabled applications using Selenium, Cypress, and Playwright in an Agile/DevOps hybrid role in Toronto.
The Data Engineer will build and maintain robust batch and stream data pipelines to support AI/ML research and production workflows. The role involves managing data quality, lineage, and MLOps tools like DVC and MLflow while collaborating with cross-functional teams.
This senior software developer role focuses on designing and maintaining complex ETL/ELT data pipelines and Medallion Data Lakehouse architectures within an Azure environment. The position involves heavy use of Databricks, PySpark, and SQL to manage data ingestion, quality, and reporting for mission-critical systems.
This role is for a Senior Systems Testing/QA Specialist to lead testing efforts for a Health Data Utility project. The position involves performing functional and non-functional testing, managing test automation, and validating complex data pipelines within an Azure-based environment.
Senior Data Architect leading 10+ data engineers to build and optimize a Databricks Lakehouse platform on Azure for a financial services firm, focusing on PySpark, Delta Lake, Unity Catalog governance, and Spark performance tuning.
Designs and maintains Azure-based data platforms for a bank, building Databricks pipelines and ensuring compliance with banking regulations.
Architect, train, and deploy ML models and GenAI applications for predictive maintenance, anomaly detection, and manufacturing process optimization, integrating with IoT/MES systems.
The Machine Learning Engineer will collaborate with stakeholders to develop and deploy ML models into production using MLOps best practices. The role focuses on building scalable data pipelines, ensuring AI governance compliance, and automating model monitoring and retraining.
The Machine Learning Engineer will develop and deploy ML models using Python, SQL, and various big data frameworks within a microservices architecture. The role requires strong software engineering practices and experience with containerization and orchestration tools.
AI / ML & GenAI Solution Development Design, develop, and deploy AI/ML and Generative AI solutions to optimize high-volume drive manufacturing operations. Build machine learning models for predictive maintenance,…
Qualifications and experience: 4 to 6 years Machine Learning and Software Engineering experience Strong analytical and problem-solving skills Expert in Python and SQL Experience with modern software development best…
About the Job Location: Taguig Corporate Title : Junior Officer to Senior Manager Work Arrangement: Hybrid Our Enterprise Data Office team is looking for experienced professionals to join us in Taguig with the role of…
We couldn't check your fit for this role — add a CV to your profile to see it next time.