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.
Design and deploy enterprise-scale AI/ML solutions, including deep learning and generative models, with MLOps/LLMOps pipelines and cloud integration.
Skill required: Marketing Operations - Campaign Management Designation: Marketing Platform Auto Associate Qualifications: Any Graduation Years of Experience: 1 to 3 Years About Accenture Accenture is a global…
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.
Build and optimize AI/ML models for retail demand forecasting and supply-chain planning using Python/R, time-series methods, and optimization algorithms.
Design and build scalable Python/FastAPI services and big-data pipelines using MongoDB and Apache Spark for Avnet’s digital transformation and AI/LLM integrations.
Builds and maintains large-scale data pipelines on Palantir Foundry/AIP, designing scalable solutions for enterprise datasets, and enabling AI/ML use cases using Python, PySpark, TypeScript, and AWS services like S3/Redshift.
Build and deploy ML models (XGBoost, NLP, deep learning) in AWS to solve client problems, using PySpark, SQL, and MLOps pipelines.
Build and deploy NLP models for federal clients, focusing on text preprocessing, feature engineering, and transformer-based solutions to solve public-sector challenges.
Build, deploy, and monitor ML models end-to-end using Python, scikit-learn, and cloud platforms to drive business impact in insurance and financial services.
Design and architect large language models (LLMs) to process and generate natural language, collaborating with teams to define specs and optimize performance.
Lead AI/ML projects for enterprise clients, designing and deploying custom deep learning and generative AI models with MLOps/LLMOps pipelines in cloud environments.
Position Overview The AI Technical Architect is responsible for designing, developing, and implementing advanced artificial intelligence solutions that address critical business challenges. The role demands a deep…
Build and secure AI/ML systems for national defense, including LLM apps, predictive models, and adversarial defenses, using Python, TensorFlow/PyTorch, and edge deployment tooling.
A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more…
Lead a team applying AI/ML to marketing, audience modeling, and healthcare analytics at GoodRx, building models that drive prescription savings and business decisions using Python, Spark, and cloud platforms.
Build and scale Unity Vector’s online ML inference platform, optimizing model serving for low-latency, high-reliability production systems using PyTorch, Triton, Kubernetes, and Ray.
Lead a team building and scaling machine-learning systems in Python and AWS to deliver hyper-personalized marketing messages across channels, while ensuring model governance and responsible-AI practices.
Design and deploy enterprise-grade AI systems—including LLMs, vision models, and robotics—from research to production, ensuring scalability, security, and alignment with business goals.
Design and deploy enterprise-grade AI systems—from LLMs and multimodal models to robotics and edge AI—guiding the full lifecycle from research to production while aligning with business goals and governance.
Build and deploy end-to-end ML and Generative AI solutions for enterprise-scale problems in commercial operations, supply chain, and customer experience using Python, TensorFlow/PyTorch, and LLM frameworks like LangChain.
We couldn't check your fit for this role — add a CV to your profile to see it next time.