AI Innovation Leader

1 week ago

Vadodara, Gujarat, India beBeeArtificialintelligence Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Key Role: AI Systems Architect

Job Description

We seek a seasoned expert to spearhead the design, development, and deployment of large-scale artificial intelligence solutions. The ideal candidate will bridge the gap between business requirements and technical implementation, with deep expertise in generative AI and modern MLOps practices.

The selected individual will be responsible for architecting end-to-end AI systems leveraging large language models and generative AI technologies, designing scalable, production-ready AI applications that meet business objectives and performance requirements, evaluating and integrating LLM APIs from leading providers, establishing best practices for prompt engineering, model selection, and AI system optimization, fine-tuning open-source models for specific business use cases, implementing custom training pipelines and evaluation frameworks, optimizing model performance, latency, and cost for production environments, and staying current with latest model architectures and fine-tuning techniques.

Required Skills and Qualifications

Required Experience:

  • 7+ years of experience in machine learning engineering or data science
  • Proven track record of delivering large-scale ML solutions

Technical Skills:

  • Expert-level proficiency with LLM APIs (OpenAi, Claude, Gemini, etc.)
  • Hands-on experience fine-tuning transformer models (Llama, Mistral, etc.)
  • Strong proficiency in FastApi, Docker, and Kubernetes
  • Experience with ML frameworks (PyTorch, TensorFlow, Hugging Face Transformers)
  • Proficiency in Python and modern software development practices
  • Experience with cloud platforms (AWS, GCP, or Azure) and their AI/ML services

Core Competencies:

  • Strong understanding of transformer architectures, attention mechanisms, and modern NLP techniques
  • Experience with MLOps tools and practices (model versioning, monitoring, CI/CD)
  • Ability to translate complex business requirements into technical solutions
  • Strong problem-solving skills and architectural thinking
Preferred Qualifications

Preferred Experience:

  • Experience with vector databases and retrieval-augmented generation (RAG) systems
  • Knowledge of distributed training and model parallelization techniques
  • Experience with model quantization and optimization for edge deployment
  • Familiarity with AI safety, alignment, and responsible AI practices
  • Experience in specific domains (finance, healthcare, legal, etc.)
  • Advanced degree in Computer Science, AI/ML, or related field

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