
Search by job, company or skills
Showing 10 jobs
Skills:
Gcp, Azure, Python, AWS, LangChain, OpenAI SDK, LoRA, QLoRA, LlamaIndex
Skills:
S3, Moodle, Canvas, Node.js, Django, Lambda, Ec2, Flask, MongoDB, Python, AWS, Api Gateway, LTI Integrations, Google Gemini, Agentic Frameworks, Blackboard, MCP Protocols, Kadal Platform, Azure AI, OpenAI
Skills:
PostgreSQL, Cursor, Docker, Terraform, MongoDB, Python, Kubernetes, LangChain, AI orchestration frameworks, Prompt engineering, AI Agents, Claude Code, GitHub Copilot, Google ADK
Skills:
Nlp, Pytorch, Flask, Python, AWS, Ml, React, Gcp, FastAPI, Azure, pgvector, Qdrant, Hugging Face, CoT, Pinecone, ML pipelines, RAG pipelines, retraining schedules, LangChain, Generative AI, Ai, canary releases, Anthropic, Graph-of-Thought, FAISS, drift detection, Milvus, OpenAI, Weaviate, LlamaIndex
Skills:
Ml, FastAPI, Python, Docker, Nlp, Flask, LangChain, LanGraph, LLMs, SLMs, GenAI, OpenAI Anthropic SDKs, vector databases, embedding models, Hugging Face Transformers, RAG
Skills:
snowflake , Tableau, Sql, Tensorflow, Grafana, Power Bi, Pytorch, Cloudformation, Terraform, Git, Elk Stack, HTML, Bootstrap, Ansible, AWS, Prometheus, Python, Docker, Restful Apis, scikit-learn, Streamlit, Dataiku DSS, Material, LangChain, Langfuse, Tailwind CSS, AWS SageMaker, Dash
Skills:
Apis, Oop, Tensorflow, Pytorch, Azure, Python, LangChain, AWS Bedrock, LLMs, HuggingFace, RAG pipeline design, prompt engineering, vector stores, GCP Vertex AI, Transformers, OpenAI, GenAI frameworks, async programming, LlamaIndex
Skills:
Kubernetes, CDK, Typescript, Python, Docker, Terraform, Jenkins, Javascript, Platform Events, GitHub Actions, Vertex AI, Agentcore, Agentforce, Weaviate, pgvector, LangChain, AWS Bedrock, Pinecone, LangGraph, Salesforce Apex
Skills:
Sql, Emr, Java, Aws S3, Lambda, MLops, Nosql, Python, Kubernetes, Docker, Jenkins, Scala, CrewAI, SageMaker, CI CD, Vector DB, LangChain, RAG
Skills:
containerization , Orchestration, Algorithms, Nlp, Gcp, data structures, Azure, Python, AWS, GenAI technologies, knowledge graphs, RAG frameworks, fine-tuning techniques for SLM, agent-based AI design patterns, software design principles, scalable system design, ML ops, CI CD pipelines
