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Artificial Intelligence Architect

Artificial Intelligence Architect

Axceltran digital private limitedHyderabad
4 days ago
Job description

Description :

  • 5+ years of experience in machine learning engineering or data science
  • 1+ years of hands-on experience building, deploying, and managing generative AI models in production
  • 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
  • Key Responsibilities :

    AI Solution Design & Implementation :

  • Architect end-to-end AI systems leveraging large language models and generative AI technologies
  • Design scalable, production-ready AI applications that meet business objectives and performance requirements
  • Evaluate and integrate LLM APIs from leading providers (OpenAI, Anthropic Claude, Google Gemini, etc.)
  • Establish best practices for prompt engineering, model selection, and AI system optimization
  • Model Development & Fine-tuning :

  • Fine-tune open-source models (Llama, Mistral, etc.) for specific business use cases
  • Implement custom training pipelines and evaluation frameworks
  • Optimize model performance, latency, and cost for production environments
  • Stay current with latest model architectures and fine-tuning techniques
  • Infrastructure & Deployment :

  • Deploy and manage AI models at enterprise scale using containerization (Docker) and orchestration (Kubernetes)
  • Build robust, scalable APIs using FastAPI and similar frameworks
  • Design and implement MLOps pipelines for model versioning, monitoring, and continuous deployment
  • Ensure high availability, security, and performance of AI systems in production
  • Business & Technical Leadership :

  • Collaborate with stakeholders to understand business problems and translate them into technical requirements
  • Provide technical guidance and mentorship to development teams
  • Conduct feasibility assessments and technical due diligence for AI initiatives
  • Create technical documentation, architectural diagrams, and implementation roadmaps
  • 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
  • (ref : hirist.tech)

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