Generative AI Engineer
Generative AI Engineer
Exl4-6 Years
This job is no longer accepting applications
Job Description
- 4+ years of experience in Data Science / ML, with 1+ year hands-on in LLMs / GenAI projects.
- Strong Python programming skills, especially in libraries such as Transformers, LangChain, scikit-learn, PyTorch, or TensorFlow.
- Experience with OpenAI (GPT-4), Claude, Mistral, LLaMA, or similar models.
- Knowledge of vector search, embedding models (e.g., BERT, Sentence Transformers), and semantic search techniques.
- Ability to build scalable AI workflows and deploy them via APIs or web apps (e.g., FastAPI, Streamlit, Flask).
- Familiarity with cloud platforms (AWS/Azure) and MLOps best practices.
- Excellent communication skills with the ability to translate technical solutions into business impact.
More Info
Key Skills
LangChain
scikit-learn
LLaMA
Sentence Transformers
Claude
Mistral
BERT
Streamlit
OpenAI GPT-4
About Company
Skills:
Python, Ml, Apis, Banking Domain, Deep Learning, FastAPI, Real time decisioning systems, NLP Modelling, CI CD, fintech, MLOps practices, data-sharing frameworks, GCP cloud, enterprise SaaS platforms, fine-tuning, embedding third-party AI tools, transfer learning, Agents, Ai, prompt engineering, Gen AI, Agentic AI, Open Banking standards, Transformers, Conversational AI
Skills:
Api Integration, Quality assurance, Javascript, Databricks, Testing Frameworks, Python, Prompt engineering, Microsoft Foundry, Microsoft 365 Copilot, DevOps integration, Security and Responsible AI practices, Conversational AI design principles, Advanced RAG architectures, Workflow orchestration, Azure AI services, Copilot Studio
Skills:
Redis, Postgres, FastAPI, Python, LangChain, vector databases, PDF parsing, GPT-4V, LlamaIndex, LLaVA, Haystack, multimodal models
Skills:
Azure, Rest Apis, AWS, Pytorch, FastAPI, Python, Gcp, Git, Flask, LLMs, MLflow, Hugging Face Transformers, LangChain, Weights Biases, Generative AI, CI CD for ML, Transformers
Skills:
Databricks, AWS, Python, Azure, Gcp, OpenAI, synthetic datasets, Crew.ai, LlamaIndex, Claude, Gemini, custom agent evaluation frameworks, embeddings, model orchestration, MCP Model Context Protocol, AutoGen, LLaMA, A2A Agent-to-Agent, Mistral, prompt engineering, LangGraph