AI Architect
Full time
at Dexian India
in
Online
Posted on February 5, 2025
Job details
Job Title: AI Architect Location: Remote Experience: 15+ years of minimum experience Notice period: Immediate to 20 days Expecting a candidate from Start-up organization. Job Description: Responsibilities:
- 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.
- 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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