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Showing 10 jobs
Skills:
Retrieval Augmented Generation (RAG), Large Language Models (LLMs), Java, Sql, Tensorflow, Pytorch, MLops, Predictive Modeling, XGBoost, Clustering, Python, embeddings, Scikit-learn, Go, Forecasting, vector databases, Classification, recommendation systems, CI/CD, Fraud Detection, ranking
Skills:
Machine Learning, Kafka, Tensorflow, Data Science, Nlp, Pytorch, Docker, Python, C++, Apache Spark, Software Engineering, Time Series Analysis, FastAPI, Kubernetes, Go, Flink, GRPC, LLMS RAG pipelines, CI/CD for ML, LangChain, Forecasting, Triton Inference Server, Vector databases, anomaly detection
Skills:
Git, Python Programming, Lang Chain and Lang Graph, Experience with Lang fuse, Understanding of agentic design patterns and workflow orchestration, Working with Databricks and modern data platforms, Prompt engineering and context engineering, RAG embeddings semantic search
Skills:
Prometheus, Grafana, Tensorflow, Pytorch, Terraform, Docker, Flask, FastAPI, Python, Kubernetes, Infrastructure as Code, Scikit-learn, artifact management, GRPC, CI/CD pipelines, model registries, Evidently AI
Skills:
Svm, XGBoost, Python, Decision Trees, Clustering, MLops, Restful Apis, Agent reasoning patterns, Prompt engineering, Feature selection, scikit-learn, RAG systems, Data preprocessing, Conversation analytics, AI system observability frameworks, LLM conversational AI systems, Feature engineering, semantic search, AWS Sagemaker, LangChain, CrewAI, Vector databases, LightGBM, Ensemble models, Regression, Statistical Modeling, Agent frameworks, Context optimization
Skills:
Kubernetes, Java, Python, Docker, Metaflow, Kubeflow, MLflow, TFX, Go, Google Vertex AI, AWS SageMaker
Skills:
Spark, Sql, Kafka, Machine Learning, MLops, AWS, Python, Kubernetes, Docker, Ai, anomaly detection, Time-series forecasting, Real-time data processing
Skills:
data engineering , Python, Pandas, Numpy, Pytorch, scikit-learn, Testing and release, Development processes, Source control management, Build processes, Production ML systems, ML pipelines, ELT data pipelines, ML research methodologies
Skills:
data engineering , Sql, Python, Hadoop, Pyspark, Spark, Big Data processing frameworks
Skills:
Machine Learning, Databricks, Python, Sql, Deep Learning, Graph Modelling, Knowledge Graphs, Identity Access Graph
