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 and deploy AI/ML models (predictive, recommendation, deep learning) using Python, PySpark, and MLflow; optimize pipelines and collaborate with data engineers to drive business KPIs.
Senior Solutions Architect designs and implements big-data pipelines on Databricks and Apache Spark for Fortune 500 clients, guiding architecture, performance tuning, and ML model deployment.
Lead the product strategy for Amgen’s cloud-native AI agent platform, enabling developers to build, deploy, and govern enterprise AI agents that accelerate drug discovery and R&D workflows.
Act as a trusted Databricks advisor for enterprise clients, designing and optimizing cloud-native data/AI architectures on the Lakehouse platform and guiding end-to-end delivery of scalable analytics and GenAI solutions.
Build and scale production LLM and agentic systems for a healthcare specialty-care platform, including RAG pipelines, multi-agent workflows, and compliance-grade AI in Azure.
Build and scale production-grade LLM and agentic systems for a healthcare specialty-care platform, including RAG pipelines, multi-agent workflows, and compliance-ready AI in Azure.
Design and govern enterprise-scale AI/ML pipelines for the VA, ensuring responsible deployment of healthcare and benefits systems while aligning with federal AI policy and standards.
Design and secure AI-driven cloud IAM systems using Azure, AWS, and GCP, automating identity governance, anomaly detection, and remediation with GenAI tools like LangChain.
Lead the engineering of MLOps platforms at a company building AI-native scientific data sets and lab data management solutions for the Scientific AI revolution.
Lead a team to design, build, and deploy AI-powered applications using LLMs, RAG, and vector databases, while mentoring engineers and enforcing engineering standards.
Builds AI models for medical imaging, clinical data, and multimodal healthcare datasets to detect lesions and derive insights for group-wide business challenges.
Build open-source AI solution blueprints and reference implementations for enterprise customers, focusing on production-grade architectures, MLOps, and secure deployments in regulated environments.
Build and maintain internal AI infrastructure connecting LLMs, agents, and ML systems with company data, tools, and workflows to support autonomy and defense applications.
Data & AI – Manager CFGI, founded in 2000, is a dynamic and fast-growing financial consulting firm, serving as the trusted partner to CFOs and their organizations. We help clients tackle complex challenges across…
Build and deploy production-grade ML models for retail, pricing, and operations analytics using Python, SQL, and Azure ML.
Design and enforce AI security controls for an AI-first enterprise platform, including agent governance, model risk management, and ML-driven threat detection across 500+ customer environments.
As an Engineering Manager, AI & ML (Data Collection), you will play a critical role in building and scaling the company’s Unified AI/ML Data Collection Platform , enabling standardized, reliable, and scalable…
Lead the North America Commercial AI strategy, building and deploying LLM/agentic AI solutions for patient finding, HCP engagement, and commercial workflows in a biopharma company.
Build and deploy NLP models for federal clients, focusing on text preprocessing, feature engineering, and transformer-based solutions to solve public-sector challenges.
Lead the architecture and team behind Inari’s data, AI, and engineering platform, integrating AWS, Kubernetes, and AI workflows to support predictive design and scientific computing for sustainable agriculture.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
