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Showing 9 jobs
Skills:
Kotlin, Cursor, React, Typescript, Python, LangChain, embeddings, LLMs, Claude, industrial data, prompt engineering, AI ML Engineering, supply chain data, Knowledge Graph, Code Copilot
Skills:
Machine Learning, Nlp, Docker, Python, AWS, Gcp, Rest Apis, Azure, Prompt engineering, Model monitoring, Data preprocessing, Microservices architecture, Feature engineering, MLOps tools, RAG pipelines, LangChain, LLMs, Vector databases, Drift detection, Elastic OpenSearch, FAISS, Embedding models, Google ADK, Model evaluation
Skills:
cloud security, Distributed Systems, LangChain, AWS Bedrock, pgvector, Embeddings and prompt engineering, Vector databases, Qdrant, Pinecone, scalable backend architecture, LangGraph, MCP Model Context Protocol, Google Vertex AI, Milvus, Weaviate, Generative AI LLMs, RAG architectures
Skills:
Nlp, MLops, Azure, Python, experiment tracking, API deployment, NLU, vector databases, container orchestration, GDPR compliance, model serving
Skills:
Node, Kafka, Python, Apis, Databases, LangChain, LLMs, Go, execution pipelines, orchestration layer, event-driven systems, AI agent workflows, RAGs, AutoGen, CrewAI, agent reliability, async processing, LangGraph
Skills:
Ml, Nlp, Sql, Relational Databases, system reliability testing, LLM-powered applications, performance evaluation
Skills:
Databricks, cloud, Gcp, Microservices, AWS, Python, Azure, Hypothesis Testing, Apis, LangChain, evaluation frameworks, LLMs, LlamaIndex, feature engineering, Agents, Gen AI, embeddings, Weaviate, RAG, Pinecone, Statistical Modeling, Async streaming architectures, vector databases, AutoGen, FAISS, prompt engineering, model observability
Skills:
Tensorflow, Unsupervised Learning, Kafka, Machine Learning, Deep Learning, Pytorch, XGBoost, Distributed Systems, Python, Kubernetes, Docker, Spark, containerisation, scikit-learn, ML ecosystem, gradient boosting, Flink, LLM APIs, clean code, MLflow, embedding-based systems, ClickHouse, supervised learning, LightGBM, model evaluation, RAG architectures, gRPC APIs, prompt engineering
Skills:
tokenization , Pandas, Pyspark, Data Science, Python, Nlp, annotation workflows, ML data engineering, NLP pipelines, data labeling tools, instruction-tuning, data versioning tools, text processing, language model APIs, training data quality metrics
