
Senior Generative AI Strategist
16 hours ago
As a key member of our organization, you will lead the design and architecture of cutting-edge GenAI solutions using large language models (LLMs) and advanced conversational AI frameworks.
Our ideal candidate has 15-18 years of experience in enterprise-scale AI solutions and possesses strong hands-on expertise with Google Cloud Platform (GCP), as well as deep knowledge of Python and ML/DL frameworks like PyTorch and TensorFlow. Proficiency in fine-tuning and deploying LLMs using modern techniques and tools is also essential.
- Responsibilities:
- Solution Architecture: Develop innovative GenAI solutions by designing and architecting scalable AI systems using GCP services.
- Model Development: Fine-tune LLMs and Sequence-to-Sequence Models (SLMs) using various techniques for domain-specific use cases.
- Open-Source Frameworks: Utilize tools like Hugging Face, LangChain, and AutoGen to build and deploy GenAI applications.
- GCP Expertise:
- Design, deploy, and optimize AI workloads using Vertex AI, BigQuery, AI Platform, and Cloud Functions within GCP environments.
- Integration and Deployment:
- Integrate generative AI models into existing systems and applications.
- Implement robust MLOps practices, including CI/CD pipelines and containerization using Docker and Kubernetes.
Expertise You'll Bring:
- Bachelor's, Master's, or PhD in Computer Science, AI, Electrical Engineering, or Applied Mathematics.
- Extensive experience in software architecture and AI/ML systems.
- Deep expertise in Microsoft Azure and Amazon Web Services (AWS) for deploying, monitoring, and optimizing AI workloads across cloud environments.
- Proficiency in programming languages like Python, with strong knowledge of ML/DL frameworks and libraries.
- Experience in fine-tuning and deploying LLMs using modern techniques and tools.
- Familiarity with MLOps platforms and workflows (MLFlow, Kubeflow).
What We Offer:
- Competitive salary and benefits package.
- Culture focused on talent development with opportunities for growth and professional advancement.
- Opportunity to work with cutting-edge technologies and contribute to the evolution of AI architecture and development practices.
- Flexible work arrangements and employee engagement initiatives.
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