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 maintain MLOps infrastructure for freight-intelligence models, automating monitoring, retraining, and deployment at scale in a logistics-focused product team.
Lead a team managing Fingerprint’s data warehouse and ML Ops pipeline, ensuring reliable, scalable infrastructure for fraud-detection models and analytics using ClickHouse, DataBricks, and AWS SageMaker.
Design and maintain scalable data pipelines and infrastructure to process complex chemical data (chromatograms) for ML model training and deployment in a healthcare/climatetech context.
Lead AI/ML engineer designing, building, and deploying production-grade AI systems in AWS for federal clients, mentoring teams, and evaluating emerging technologies.
Designs and maintains data infrastructure for federal government clients, building scalable pipelines and integrating ML models using Python, AWS, and tools like Apache Airflow and Spark.
Job Title: Sr. Data Engineer Department: Data Engineering Location: Chennai Position Overview The Senior Data Engineer is responsible for delivering scalable data pipelines, ETL processes, data warehouse solutions, and…
Principal Data Platform Engineer at CommBank building and running platforms that support credit risk model development, validation, implementation, and monitoring using AWS technologies (S3, EMR, Glue, Lambda, Redshift, SageMaker) and other data platforms to enable model execution and deployment at scale.
Senior AI/ML Engineer designing, building, and deploying production ML and LLM systems (RAG, fine-tuning, evaluation) using Python, PyTorch, HuggingFace, and AWS/Azure for a digital agency's enterprise and non-profit clients.
Cloud Infrastructure Architect – AI/ML Security Governance Location: Remote (New York,USA) Job Type: Full-Time Job Description We are seeking a Cloud Infrastructure Architect – AI/ML Security Governance to establish…
Senior Technical Architect designing and supporting enterprise AI/ML deployments on the Snowflake native stack, performing root cause analysis across distributed cloud systems, and mentoring teams on MLOps best practices.
Designs and maintains data pipelines, infrastructure (AWS DMS, HBase, Kafka, Airflow, etc.), and tools to enable data-driven decisions for Wattpad’s storytelling platform.
BURNT Member of Technical Staff AI/ML Engineer (MLOps-Focused) Location On-site, San Francisco · Experience 5–7 years · Compensation $150,000–$275,000 + equity About Burnt Burnt isn't building software on top of…
The Data Engineer will design and deploy scalable, AI-enabled data pipelines and machine learning models for Department of Defense mission-critical environments. The role involves working with Python, Spark, and containerized cloud technologies to transform structured and unstructured data into operational insights.
Mid Data Scientist crafting data-driven solutions, developing analytical and ML models using Python, SQL, ML tools (MLflow, W&B, Databricks ML), cloud ML platforms (Azure ML, AWS SageMaker, GCP Vertex AI), and data visualization tools (Matplotlib, Seaborn, Plotly, Power BI, Tableau).
The Principal Data Engineer will design and build scalable Big Data, analytics, and AI platforms while leading engineering projects and client communication. The role involves operationalizing AI models and mentoring teams using cloud-native technologies like Spark, Kafka, and various IaC tools.
Manages end-to-end cloud migration and modernization programs across GCP, AWS, and Azure for TELUS Digital, leading large-scale transformations, governing multi-cloud initiatives, and optimizing costs up to $50M budgets.
Lead a team of software and AI engineers at ServiceNow to design, build, and deploy AI-native applications using LLMs, agents, and RAG systems, with full ownership across coding, testing, and production monitoring in a cloud environment.
Develops and deploys AI/ML models (classification, NLP, CV, time-series) for business use, using Python, TensorFlow/PyTorch, and cloud platforms like AWS SageMaker. Focuses on MLOps (Docker, MLflow, Kubernetes) and cross-team collaboration to solve real-world problems with automation and predictive analytics.
Designs and builds scalable AWS-based ML/data infrastructure for enterprise AI solutions, focusing on MLOps, feature engineering, and governance to enable production-ready AI at scale.
What is the opportunity? Global Functions Technology (GFT) is part of RBC’s Technology and Operations division. GFT’s impact is far-reaching as we collaborate with partners from across the company to deliver innovative…
We couldn't check your fit for this role — add a CV to your profile to see it next time.