AI Architectural Specialist

5 days ago

Hyderabad Secunderabad Telangana, India beBeeArtificialIntelligence Full time ₹ 1,50,000 - ₹ 28,00,000
Job Title: Senior AI Engineer/Senior Technical Lead

At our company, we are seeking a Senior AI Engineer/Senior Technical Lead to join our team. The ideal candidate will have experience in designing and implementing Large Language Model (LLM) solutions, fine-tuning strategies, and evaluation frameworks.

Responsibilities:
  • Design and implement RAG-based solutions to enhance LLM capabilities with external knowledge sources.
  • Develop and optimize LLM fine-tuning strategies for specific use cases and domain adaptation.
  • Create robust evaluation frameworks for measuring and improving model performance.
  • Build and maintain agentic workflows for autonomous AI systems.
  • Collaborate with cross-functional teams to identify opportunities and implement AI solutions.
Qualifications:
  • Bachelor's or Master's degree in Computer Science, or related technical field.
  • 3+ years of experience in Machine Learning/AI engineering.
  • Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow).
  • Practical experience with LLM deployments and fine-tuning.
  • Experience with vector databases and embedding models.
  • Familiarity with modern AI/ML infrastructure and cloud platforms (AWS, GCP, Azure).
  • Strong understanding of RAG architectures and implementation.
Preferred Qualifications:
  • Experience with popular LLM frameworks (Langchain, LlamaIndex, Transformers).
  • Knowledge of prompt engineering and chain-of-thought techniques.
  • Experience with containerization and microservices architecture.
  • Background in NLP and deep learning.
  • Background in Reinforcement Learning.
  • Contributions to open-source AI projects.
  • Experience with ML ops and model deployment pipelines.
Skills and Competencies:
  • Strong problem-solving and analytical skills.
  • Excellent communication and collaboration abilities.
  • Experience with agile development methodologies.
  • Ability to balance multiple projects and priorities.
  • Strong focus on code quality and best practices.
  • Understanding of AI ethics and responsible AI development.

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