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.
Build, deploy, and operate AI/ML solutions across a multi-cloud government environment (AWS, Azure, GCP, OCI), including ML pipelines, model serving, data engineering workflows, and production monitoring for a national security contractor.
The Machine Learning / Federated-Learning Engineer will design and implement distributed model training and adaptation workflows for federal government projects. The role involves building ML pipelines, fine-tuning models, and integrating AI solutions within secure, controlled environments using Python and frameworks like PyTorch or TensorFlow.
Build cloud-native data platforms, LIMS/ELN integrations, and agentic AI/LLM pipelines to enable AI-driven drug discovery at a Series A biotech startup in NYC.
On-site Applied ML Scientist at Eli Health developing and improving ML, signal processing, and statistical models on noisy hormone-monitoring data, then investigating production performance and failures—primarily using Python.
Hands-on techno-functional systems analyst for AML/KYC compliance projects at a Singapore bank—designing technical solutions, performing data mapping, and supporting end-to-end system implementation using SQL, Hadoop, Hive, Python, and machine learning processes.
This role involves developing and deploying advanced AI and machine learning models to drive commercial analytics and business effectiveness within a healthcare context. The analyst will utilize Python, SQL, and Snowflake to process healthcare datasets and provide actionable insights for cross-functional teams.
This role is a hands-on product leadership position responsible for the AI/ML roadmap of the Operator Suite, a B2B platform for venue parking management. The candidate will define product strategy while acting as an individual contributor to prototype and evaluate predictive models, dynamic pricing, and LLM-based applications.
Data Scientist at the UN World Food Programme, remotely building ML/AI models (segmentation, NLP, LLMs) to optimize individual fundraising and donor engagement, working with large-scale transactional and web datasets.
Build and deploy AI/ML models using healthcare datasets to optimize commercial strategies, patient targeting, and forecasting for a biopharma company.
The Data Engineer will design and implement scalable data pipelines, data warehouses, and semantic models to support enterprise analytics in the healthcare domain. The role involves leveraging AWS cloud services, Power BI, and dimensional modeling to ensure data governance and high-performance reporting.
Senior Software Engineer at Cisco's CX Engineering org building AI-driven solutions, scalable back-end systems, and MLOps pipelines using Python, Go/TypeScript, Kubernetes, Kafka, and cloud platforms.
Data Engineer building and maintaining scalable data pipelines and solutions using Azure Databricks, Data Factory, and big data technologies to support reporting, analytics, and ML/AI projects at Assurant's Hyderabad office.
Senior Data Scientist building and deploying predictive ML models for collections and customer engagement analytics. Day-to-day work involves feature engineering, model training/validation, and production ML pipelines using Python, SQL, and frameworks like XGBoost, LightGBM, and TensorFlow.
Senior Data Scientist owning end-to-end production ML models for workforce intelligence products, classifying behavioral event data and building benchmarks using Python and SQL.
Design, develop, deploy, and support production-grade AI/ML solutions using Python, PyTorch, scikit-learn, and Azure, working across the full machine learning lifecycle at State Street in Bangalore.
Build deep learning models from scratch (custom transformer architectures) to detect fraud and account sharing at Adobe in Bangalore, owning the full ML lifecycle from feature engineering on Databricks/Spark through large-scale GPU training to production deployment and monitoring.
Lead Data Scientist designing, deploying, and monitoring ML/AI solutions (including NLP and GenAI) across Risk, Fraud, Marketing, and Portfolio Management in the payments and financial services space, using Python, SQL, and big data frameworks.
Data Scientist at FIS building and deploying predictive models and AI solutions across Risk, Fraud, Marketing, and Portfolio Management in financial services, using Python, SQL, and machine learning libraries.
Senior Associate Data Scientist developing and deploying ML/forecasting models to support business decision-making at Amgen's Hyderabad office, using Python, SQL, and MLOps practices across the full model lifecycle.
The Senior AI Engineer will design, deploy, and manage enterprise-grade AI and Agentic AI solutions within Mastercard's AI Center of Excellence. The role focuses on productionizing AI models, implementing MLOps/AgenticOps, and building scalable, secure AI applications using technologies like Python, Kubernetes, and LLM frameworks.
We couldn't check your fit for this role — add a CV to your profile to see it next time.