Lead ML Engineer – Cloud AI, MLOps & Agentic AI Location: US / Canada (Remote/Hybrid) Type: Contract / Full-Time Overview: We are looking for a Lead ML Engineer to drive enterprise AI initiatives, focusing on MLOps, GenAI, and next-generation agentic AI systems
Job Title: Senior AI Engineer – Agentic AI / LLM (Multi-Agent Systems) Rate: $70-$80/hr We are seeking an experienced Senior AI Engineer to design and deliver next-generation agentic AI solutions powered by large language models (LLMs). This role focuses on
Elevate your career as a Mid-Level AI Engineer with SageBeans RPO in Red Deer, Alberta. This full-time hybrid position focuses on AI infrastructure and cloud engineering, integrating AWS and Azure technologies. At SageBeans RPO, were seeking a skilled
# AI Engineer / Cloud EngineerSageBeans RPOFull TimemidHybridRed Deer, Alberta, CAPosted Yesterday# Role OverviewSageBeans RPO is hiring a mid-level AI Engineer / Cloud Engineer. This is a full-time hybrid role, based in Red Deer. Part of SageBeans RPOs
Must Haves: 4+ years of hands-on experience in Machine Learning and Data Science, specializing in classification, clustering, time series analysis, encoder based transformer models, explainability and optimization Advanced familiarity with SQL and spark/pyspark 2+ years experience
About us: Intuitive.AI is one of the fastest-growing (INC 5000, CRN) Cloud & SDx solution and services companies supporting enterprise customers on a global scale. Intuitive is an \Engineering Company\ delivering measurable value and key business outcomes.
At Why Hiring, we believe in the power of connecting talented individuals with incredible remote job opportunities. Our mission is to simplify the job search process and empower professionals to find fulfilling roles that align with
Experience Level: Expert (15+ years or niche expertise) Role Description We are looking for a Senior Software Developer to support the Cyber Security portfolio within Cyber Data Risk & Resilience (CDRR). The consultant will contribute to
About the role In this role, you will architect and deliver perception systems that power intelligent robotics solutions for enterprise clients - from sensor fusion and computer vision to real-time AI pipelines running at the edge and
Job Title: Machine Learning Engineer (BFSI) Position Overview: The ML Engineer will develop, deploy, and optimize machine learning solutions supporting fraud detection, risk analytics, customer intelligence, and financial forecasting. Key Responsibilities: Develop machine learning models and pipelines.
Job Title: MLOps Engineer (BFSI) Position Overview: The MLOps Engineer will establish scalable machine learning operations frameworks and automate the deployment, monitoring, and governance of AI models. Key Responsibilities: Build ML deployment pipelines. Implement CI/CD for machine learning
Job Title : Machine Learning Engineer (Energy) Industry Energy & Utilities Position Overview The ML Engineer will develop and deploy machine learning models supporting predictive maintenance, energy demand forecasting, asset optimization, and renewable energy production analytics. Responsibilities