
Search by job, company or skills
Showing 10 jobs
Skills:
data engineering , ML Libraries (scikit-learn), Version Control (Git), PyTorch), Containerization (Docker), Deep Learning Frameworks (TensorFlow, Data Processing (pandas, Orchestration (Kubernetes), NumPy), Java, Spring Boot, Python, Machine Learning, Distributed Systems, Artificial Intelligence, Restful Services, Agentic AI, Microservices Architecture, API Design Principles, Event-driven Architectures
Skills:
Cloud Architecture, Devops, Git, Pandas, MLops, Gcp, Docker, FastAPI, Azure, Python, vector search, reranking models, unstructured data embedding, LLM applications, Langfuse, RAG, document parsing
Skills:
Kafka, Spring Boot, Grafana, JIRA, Datadog, Nosql, Tensorflow, Pytorch, Docker, Swagger, Python, AWS, Java, Google Cloud, Sql, New Relic, Rabbitmq, Django, Jenkins, FastAPI, Postman, Azure, GitHub Actions, GitLab CI, RESTful API design
Skills:
Web Application Development, Data Science, Database Design, Agentic AI frameworks, AI techniques, Agile delivery methodologies, containerisation and orchestration, cloud computing platforms, automated build test and deployment pipelines
Skills:
Incident Response, Elasticsearch, LangChain, CrewAI, Pipelines, Documentation, Agent Orchestration, analysis plan, agent-based modeling, Product Architecture, Workflow Orchestration, LangGraph, Design, Distributed Generation System Performance Monitoring Management, Operations, Haystack
Skills:
Cloud deployment, Scalability, Gcp, System Design, Python, AWS, modern backend frameworks, LLMs, DevOps practices, Reliability, agent-based systems, multi-agent workflows, model optimization
Skills:
React, Machine Learning, Typescript, Natural Language Processing, Kubernetes, Python, Generative AI, Large Language Models
Skills:
Docker, FastAPI, Kubernetes, Python, CI CD pipelines, Kubeflow, MLflow
Skills:
Python, model SDKs, AWS Strands, AWS Bedrock, GLM, Azure AI Foundry, Gen AI, LangGraph, LLMOps practices, DeepSeek, Qwen, Google Vertex AI, vector DBs
Skills:
Tensorflow, Deep Learning, Databases, Pytorch, Docker, Python, AWS, Apis, Backend Development, MLops, Gcp, Machine Learning, Azure, Cloud-based application development, Application development using APIs and microservices, Hugging Face, Data processing and analytics, Responsible AI practices, LangGraph, Data pipelines, LangChain, Generative AI, Vector databases, AI security governance
