
Generative AI Specialist
3 days ago
Job Title: Generative AI Specialist
Job Summary:Seeking a talented Generative AI Specialist to develop and integrate large language models into enterprise applications.
The ideal candidate will have strong programming skills in Python, experience with Azure Databricks and Apache Spark, and knowledge of vector embeddings and vector databases.
Key Responsibilities:- Develop and Integrate Large Language Models: Fine-tune and integrate LLMs (GPT, LLaMA, Claude) into APIs, microservices, and front-end/back-end integrations for GenAI applications.
- Prompt Engineering and RAG Pipelines: Implement prompt engineering techniques, embeddings, and RAG pipelines for Agentic AI applications.
- Building Agentic AI Applications: Use Langgraph to build and maintain APIs, microservices, and front-end/back-end integrations for GenAI applications.
- Vector Database Integration: Work with vector databases (Pinecone, FAISS, Weaviate, Milvus) to enable semantic search.
- Cloud AI Platform Deployment: Deploy solutions on cloud AI platforms (Azure OpenAI, AWS Bedrock, GCP Vertex AI).
- Model Optimization: Optimize model performance, latency, and scalability for real-world usage.
- Collaboration and Guideline Adherence: Collaborate with data scientists and solution architects to deliver PoCs and production-ready applications, ensuring responsible AI, data privacy, and security guidelines are followed.
- Programming Skills in Python: Strong programming skills in Python, with experience in APIs, microservices, Flask/FastAPI/Django.
- Azure Databricks and Apache Spark Experience: Hands-on experience with Azure Databricks and Apache Spark.
- Vector Embeddings and Vector Databases Knowledge: Knowledge of vector embeddings and vector databases.
- Orchestration Framework Experience: Experience with LangChain, LlamaIndex, or similar orchestration frameworks.
- Docker, Kubernetes, and MLOps Practices Experience: Familiarity with Docker, Kubernetes, and MLOps practices for deploying AI models.
- Cloud-Based AI Services Experience: Experience working with cloud-based AI services (Azure, AWS, or GCP).
- Problem-Solving and Debugging Skills: Strong problem-solving and debugging skills.
- PYTORCH, TENSORFLOW, HUGGING FACE TRANSFORMERS Experience: Good to have experience with PyTorch, TensorFlow, Hugging Face Transformers.
Benefits:
- Opportunity to work with cutting-edge AI technologies.
- Chance to collaborate with experienced data scientists and solution architects.
- Professional growth and development opportunities.
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