3 aws cloud jobs found

Machine Learning Engineer (15265-1) Newark, NJ   Experience level: Mid-senior Experience required: 7 Years Education level: Bachelors degree Job function: Information Technology Industry: Information Technology and Services Pay rate :  Total position: 1 Relocation assistance: No Visa sponsorship eligibility: No Only local candidates can apply. Job Description: As a Machine Learning Engineer, you will play a pivotal role in driving the development and implementation of cutting-edge machine learning solutions for our client. Your responsibilities will encompass a wide range of tasks, from leading a small team of machine learning engineers to collaborating with cross-functional teams to deliver impactful solutions. You will be at the forefront of driving innovation and leveraging the power of machine learning to solve real-world problems, drive business growth, and create value. Key responsibilities: Lead and drive machine learning...

GenAI/ML Architect (3954-1) Pittsburgh, PA ref GenAI/ML Architect, machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) and cloud platforms (AWS, GCP, Azure), MLOps tools (Kubeflow, MLflow, Airflow, Docker, Kubernetes)    Experience level: Mid-senior Experience required: 10 Years Education level: Bachelor’s degree Job function: Information Technology Industry: Information Technology and Services Pay rate : View hourly payrate Total position: 1 Relocation assistance: No Visa sponsorship eligibility: No Role – GenAI/ML Architect Business Vertical: Life Sciences, Health Care, Energy, Resources and Utilities Responsibility: • Design and architect end-to-end AI/ML solutions, ensuring scalability, security, and efficiency. • Guide data scientists and engineers in developing, training, and deploying machine learning models. • Define best practices for MLOps, including model versioning, monitoring, and retraining...

AI Engineer SPRING TX Up to: $85/Hourly  Refer & Earn $1000 View Referral Details  Job Number ITWQG2172633 JOB DESCRIPTION  client in Houston, TX in need of an AI Engineer to play a critical role in designing, training, and deploying advanced machine learning and generative AI solutions that address complex, real-world challenges. You will be working on cutting-edge AI initiatives, large language models (LLMs), agentic workflows, and multimodal systems, delivering impactful and responsible AI applications at enterprise scale. This is a hybrid role which requires 3 days onsite, 2 days remote in Houston, TX. Responsibilities: Design, develop, and train machine learning and deep learning models for production use Build agentic AI systems, including multi-step reasoning workflows, tool using agents, and autonomous or semi-autonomous processes Evaluate, customize, and fine-tune open-source and commercial large language models (LLMs) for domain-specific use...