Freelance Edge Ai Machine Learning Jobs (NOW HIRING)

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You have an entrepreneurial spirit. You enjoy working as a part of well-knit teams. You value the team over the individual. You welcome diversity at work and within the greater community. You aren't afraid to take risks. You appreciate a growth path with your leadership team that journeys how you can grow inside and outside of the organization. You thrive upon continuing education programs that your company sponsors to strengthen your skills and for you to become a thought leader ahead of the industry curve.
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We are looking for candidates having hands on experience as a Vertex AI Machine Learning Architect. The Vertex AI Machine Learning Architect will be responsible for developing, deploying, and managing machine learning models using Google Cloud's Vertex AI platform. The ideal candidate will have a strong background in machine learning, experience with Google Cloud services, and a passion for solving complex problems with AI. Conceptualize, design, and implement AI models, algorithms, and systems to solve complex business problems.

• Research and stay up to date with the latest AI technologies and techniques, recommending and implementing their application as appropriate.
• Collaborate with creative technology leaders and cross-functional teams to test feasibility of new ideas, help refine and validate client requirements and translate them into working prototypes, and from thereon to scalable Gen-AI solutions.

• Design, develop, and deploy machine learning models using Vertex AI.
• Integrate Vertex AI with other Google Cloud services such as AlloyDB, BigQuery, Cloud Storage, and Dataflow.
• Utilize AutoML capabilities to create high-quality models with minimal manual effort.
• Develop custom training pipelines for more complex machine learning tasks using frameworks like TensorFlow and PyTorch.
• Implement and manage Vertex AI Pipelines for orchestrating end-to-end machine learning workflows.
• Monitor and optimize model performance post-deployment, ensuring models remain accurate and efficient over time.
• Collaborate with data scientists, software engineers, and other stakeholders to understand business requirements and translate them into effective AI solutions.
• Perform hyperparameter tuning to enhance model performance.
• Utilize Vertex AI Feature Store for feature management and reuse.
• Conduct online and batch predictions using Vertex AI prediction services.
• Adhere to MLOps best practices for model versioning, deployment, and lifecycle management.

• Proven experience with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn.
• Hands-on experience with Google Cloud Platform (Google Cloud Platform) services, specifically Vertex AI.
• Strong programming skills in Python or a similar language.
• Familiarity with data processing tools like Apache Beam, Dataflow, or similar.
• Understanding of machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning.
• Experience with AutoML tools and techniques.
• Excellent problem-solving skills and the ability to work in a fast-paced environment.
• Strong communication and collaboration skills.