AI Solutions Engineer

1 day ago

Rajkot, Gujarat, India beBeeGenerative Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Job Title: AI Solutions Architect

About the Role:

We are seeking a visionary AI Solutions Architect with 15-18 years of experience in enterprise-scale AI solutions, including deep expertise in fine-tuning foundational models.

The ideal candidate will have strong hands-on experience with GCP and a passion for building scalable, innovative AI applications using modern frameworks and cloud-native technologies.

  • Role: AI Solutions Architect
  • Experience: 6 to 10 Years
  • Job Type: Full Time Employment
Key Responsibilities:
  • Solution Architecture:

Lead the design and architecture of AI solutions using LLMs and advanced conversational AI frameworks.

Model Development:

Fine-tune LLMs and SLMs using techniques like PEFT, LoRA, and QLoRA for domain-specific use cases.

Open-Source Frameworks:

Build AI solutions using tools like Hugging Face, LangChain, LangGraph, and AutoGen.

GCP Expertise:

Design and deploy scalable AI solutions using GCP services such as Vertex AI, BigQuery, AI Platform, and Cloud Functions.

Optimize model performance, cost-efficiency, and reliability within GCP environments.Integration and Deployment:

Integrate AI models into enterprise systems and applications.

Implement robust MLOps practices, including CI/CD pipelines (e.g., GitHub, Jenkins), and containerization using Docker and Kubernetes.Coding and Development:

Write clean, maintainable Python code for AI applications.

Data Preprocessing:

Build and maintain data pipelines for training and fine-tuning models.

Model Evaluation:

Evaluate model performance using relevant metrics and benchmarks; iterate to improve outcomes.

Prototyping:

Rapidly prototype AI applications to demonstrate capabilities.

Showcase solutions to stakeholders for feedback and iteration.Drive innovation through fast experimentation and proof-of-concept development.Research & Innovation:

Stay current with emerging trends in AI and contribute to the evolution of AI architecture and development practices.

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