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.
Permanent (CDI) data engineer role at Akkodis in Bordeaux: designing, building and industrializing data pipelines and Streamlit data apps on Snowflake within a hybrid cloud stack (GCP BigQuery, Azure Databricks) for a Healthcare & Medical client, using SQL, Python, ETL/ELT, CI/CD and generative-AI/LLM tooling.
Job Description Job Title Senior DevOps Engineer Job Description The Role Following extensive global expansion over several years and a drive to standardise common systems and platforms globally, PL Re is undertaking a…
¿Te imaginas participando en la transformación de las principales organizaciones nacionales e internacionales? En Deloitte estamos comprometidos con generar un impacto en la sociedad, en nuestros clientes y en ti.…
Location Designation: Hybrid - 3 days per week Technology, Data, AI and Ventures: Within the Tech, Data, AI, Ventures (TDAV) organization, our work is guided by a shared vision: deploying the power of technology, data,…
Location Designation: Hybrid - 3 days per week Role Overview Join Enterprise Intelligence as an Associate Product Engineer supporting the Decision Intelligence team. This role is designed for an early-career software…
Owns the lifecycle of scientific data products at Nestlé Research (Lausanne, hybrid), translating needs across agriculture, packaging, clinical, food safety, and health & nutrition domains into scalable solutions. Works with bioinformatics/omics data, FAIR principles, and a modern stack including Snowflake, Airflow, Linux, and containers.
Senior Power BI developer on a BI/Data/AI team building and maintaining financial and operational insurance dashboards end-to-end — from requirements and wireframes through DAX measures, Power Query transformations, semantic model alignment with Snowflake, RLS governance, and performance tuning. Needs 5+ years in BI/analytics with strong Power BI, DAX, and SQL skills.
Brief introduction - Role Summary/Purpose The Global Data Science team at Colgate-Palmolive builds and deploys analytics solutions to drive business growth, focusing on areas like Price Elasticity, Trade Promo…
Internship ('prácticas') at Capgemini in Madrid for students enrolled in a Big Data or Computer Science Master's with C1 English. The intern designs, builds, and evaluates data pipelines — ingestion, transformation, orchestration with Python, SQL, Airflow/Prefect — plus data quality testing, security/governance, and documentation.
Tech lead at Capgemini Engineering in Bangalore designing and building AI/ML and generative AI solutions on Azure — developing Python-based apps, implementing GenAI use cases with Azure OpenAI, RAG, LangChain and vector databases, and running POCs with stakeholders.
Capgemini Engineering is hiring a GenAI & Agentic AI Lead/Architect in Navi Mumbai to architect end-to-end generative and agentic AI solutions for enterprise clients, run POCs and pilots, and guide delivery teams. Core stack includes Python AI/ML tooling, LangChain/RAG, vector databases, and cloud AI platforms like Azure OpenAI, AWS Bedrock, and GCP.
A manager-level data engineering role in Deloitte's AI & Data consulting practice in Sydney, designing and building Snowflake-based data platforms, pipelines, and AI/ML data products for major client transformation programs. Core tech: Snowflake (Snowpark, Snowpipe, Dynamic Tables), SQL, dbt, Python, and AWS/Azure/GCP.
NetApp is hiring an AI Engineer in Bangalore to design, build, and deploy Agentic AI applications using LLMs, RAG pipelines, and orchestration frameworks like LangGraph and LangChain. Day-to-day work centers on Python development, vector search, prompt engineering, and integrating emerging GenAI technologies.
Onsite engineer at TSMC Arizona's Phoenix fab who embeds with engineering, manufacturing and business teams to rapidly prototype generative-AI solutions (LLMs, RAG, agents) using tools like LangChain, Streamlit, FastAPI and vector databases, then hands validated PoCs to IT/MLOps for productionization.
Senior Consultant (Python, AI/ML Developer) at NTT DATA Business Solutions in Bangalore: builds agentic AI solutions, AI workflows and pipelines in Python, prototypes with Streamlit/Gradio, and trains models on AWS, targeting candidates with 6-9 years of experience.
Data Scientist at DNB's corporate banking analytics team in Oslo, building, productionizing, and maintaining machine learning models and data-driven solutions using R/Python with Snowflake, Airflow, MLflow, Git, and Shiny to turn customer and market data into business insights.
Data Scientist at Deloitte's Advanced Analytics team in Madrid, building machine learning, deep learning, and generative AI solutions for international clients across the full AI lifecycle — from co-creating business use cases to MLOps deployment. Core stack: Python, SQL, Git, cloud platforms (Azure/AWS/GCP), and GenAI techniques like LLMs, RAG, and embeddings.
Hybrid (3 days/week in New York) individual-contributor role advancing New York Life's enterprise data governance: curating metadata, catalogs, glossaries, and lineage and building governance workflows in Atlan and Unity Catalog, plus PII/PHI classification, data quality checks, SQL validation, and Agile/Jira collaboration.
Votre mission Au sein de la Division de la Performance des Équipements (DPE), l’Ingénieur Analyse de Données conçoit, déploie et fait évoluer l’écosystème data et IA du périmètre Équipements. Les solutions qu’il…
Hands-on engineer at MAPFRE designing, building, and deploying production AI agents and multi-step agentic workflows for insurance processes like underwriting and claims. Core stack: Python, LLM/agent frameworks (LangGraph preferred), FastAPI services, Amazon Bedrock/AWS, RAG, and CI/CD. Hybrid role in Boston or Webster, MA.
We couldn't check your fit for this role — add a CV to your profile to see it next time.