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.
Lead a team of technical product managers owning enterprise data platforms, ML models, generative AI apps, and analytics at Hagerty, a collectible-vehicle insurer and car-club operator.
Design healthcare and insurance metrics, build analytics narratives for dashboards, and write production Python/PySpark code to evaluate claims-data analytics agents.
Build and maintain ML/AI pricing and underwriting models for healthcare using Python, SQL, and TensorFlow, collaborating with stakeholders to deliver data-driven insights and improve Cigna’s competitive position.
Build and maintain scalable MLOps pipelines on GCP and Vertex AI, automating model deployment, monitoring, and retraining for enterprise AI solutions.
Build and maintain pricing/underwriting models using healthcare data, ML/AI, and Python/SQL to deliver actionable insights for Cigna’s commercial healthcare business.
Senior Data Engineer builds and maintains scalable data pipelines and platform capabilities for analytics, AI/ML, and healthcare products using Python, SQL, Snowflake, and AWS.
Location, Mexico City, Mexico **This role will require regular presence (2-3 times / week) at our office in Mexico City,** We are looking for a Data Scientist who brings strong hands-on experience applying machine…
SAIC is seeking an AI/ML Engineer to join our team conducting a wide variety of analyses in support of Government satellite programs in Earth orbits. Areas of work may include : Recognizing different types of…
Working at Moffitt is both a career and a mission: to contribute to the prevention and cure of cancer. As the only National Cancer Institute-designated Comprehensive Cancer Center based in Florida, Moffitt employs some…
Tackling complex technical challenges focused on scalability, reliability, and speed Maintaining a high-performance infrastructure that processes millions of events with low latency Collaborating with Data Scientists…
Design and maintain scalable data pipelines and curated datasets for analytics and ML at Mastercard, using SQL, Python, Spark, and cloud platforms like AWS and Databricks.
Builds and optimizes large-scale data pipelines and ML platforms for fraud detection using Java/Python/Scala, Spark, Flink, and Kafka to power real-time and batch risk decisioning at Apple.
Evaluate AI-generated ML models and data science solutions for accuracy, applying machine learning, statistical modeling, and Python/SQL to improve AI reasoning and performance.
Evaluate AI-generated data science solutions, models, and analyses for accuracy and reasoning quality, providing technical feedback to improve next-gen AI systems.
Build and productionize ML models for an AI-native data infrastructure platform, from model development to deployment and monitoring.
Build and deploy end-to-end ML models and AI services (LLMs, simulations, digital twins) using Python, TensorFlow/PyTorch, Docker/Kubernetes, and MLOps tooling in a DevOps environment.
Build and deploy ML models and AI systems to power creator intelligence, audience analytics, and content performance products using proprietary datasets and LLMs.
This role designs and delivers a scalable, secure, cloud native AI platform that enables enterprise grade AI and agent powered solutions. The position focuses on building event driven, distributed services using Akka…
Build and deploy advanced AI/ML models, including LLMs and agentic systems, to solve complex business problems using Python, MLOps, and cloud platforms.
Lead a team building production-grade GenAI and multi-agent AI systems, owning architecture, prototyping, evaluation, and deployment to deliver measurable business outcomes.
We couldn't check your fit for this role — add a CV to your profile to see it next time.