Gen AI role

Role Name: Gen AI role

6-10 years of relevant experience in Apps Development or systems analysis role

• Core AI/ML Foundations:
  
• Strong foundational knowledge in GenAI Machine Learning (ML modeling) Data Science Statistics and AI fundamentals including Natural Language Processing (NLP) Neural Networks and Large Language Models (LLMs).
  
• Generative AI & LLM Expertise:
  
• Extensive hands-on experience with leading LLMs such as Google Gemini OpenAI models Anthropic Claude Mistral Llama and various other open-source LLMs.
  
• Critical: Deep working knowledge and hands-on experience with Retrieval-Augmented Generation (RAG) pipelines including advanced RAG techniques and their detailed implementation.
  
• Proven ability to build tune and deploy LLM-based applications using platforms like Vertex AI Hugging Face etc.
  
• Expertise in developing robust prompt engineering strategies prompt tuning and creating reusable prompt templates.
  
• Hands-on experience with agentic framework-based use case implementation.
  
• Working knowledge of Guardrails and methodologies for assessing the performance and safety of GenAI features.
  
• Programming & Data Engineering:
  
• Strong programming proficiency in Python is a must including extensive experience with libraries such as Pandas NumPy scikit-learn PyTorch TensorFlow Transformers FastAPI Seaborn LangChain and LlamaIndex.
  
• Proficiency in integrating generative AI with enterprise applications using APIs knowledge graphs and orchestration tools.
  
• Hands-on experience with various vector databases (e.g. PG Vector Pinecone Mongo Atlas Neo4j) for efficient data storage and retrieval.
  
• Experience in dealing with large amounts of unstructured data and designing solutions for high-throughput processing.
  
• Deployment & MLOps:
  
• Critical: Hands-on experience deploying GenAI-based models to production environments.
  
• Strong understanding and practical experience with MLOps principles model evaluation and establishing robust deployment pipelines.
  
• Strong expertise in CI/CD principles and tools (e.g. Jenkins GitLab CI Azure DevOps ArgoCD) for automated builds testing and deployments.
  
• Cloud & Containerization:
  
• Proven experience with container orchestration platforms like OpenShift or Kubernetes for deploying managing and scaling containerized applications in a cloud-native environment.
  
• Soft Skills:
  
• Strong problem-solving abilities excellent collaboration skills for working effectively with cross-functional teams and the capability to work independently on complex ambiguous problems.