Collaboratively design and implement generative AI solutions using agile methodologies to meet customer-specific needs and operational requirements.
Leverage frameworks such as NVIDIA NeMo, OpenAI APIs, and Avatar / Digital Person AI, ensuring optimal compatibility, performance, and customization.
Design, deploy, and optimize AI workloads across hybrid and multi-cloud environments, ensuring data integrity, cost-efficiency, and performance optimization.
Enhance solution architectures with scalability, reliability, and compliance in mind to align with evolving business needs and industry standards.
Develop and deploy templates, governance models, and reusable assets to accelerate the development and deployment of AI solutions.
Drive automation of managed offerings across hybrid infrastructures to ensure efficiency and operational excellence.
Promote security, compliance, and ethical AI practices to align solutions with legal and societal standards.
Qualifications :
Experience with NVIDIA NeMo, OpenAI, and NLP technologies.
Proficient in TensorFlow, PyTorch, or equivalent frameworks.
Expertise in containers, Kubernetes, serverless computing, and DevOps practices.
Deep understanding of AWS, Azure, and Google Cloud Platform (GCP) for hybrid setups.
Strong proficiency in Python and familiarity with related libraries such as Keras and scikit-learn.
Hands-on experience in deploying LLMs, CNNs, RNNs, GANs, and reinforcement learning architectures.
Knowledge of tokenization, embeddings, and transformer-based models.
Exceptional communication skills including the ability to articulate complex solutions to technical and non-technical audiences.
BS / MS in Computer Science, Software Engineering, or equivalent.
AI / ML Certifications : TensorFlow Developer Certificate, NVIDIA Certified AI Developer, or equivalent.
Familiarity with non-NVIDIA AI platforms such as Red Hat, AMD, or Intel AI is a plus.
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Solution Architect • Guntur, IN
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