Machine Learning, Kafka, Tensorflow, Sklearn, Data Science, Docker, Flask, Python, Java, Scala, Redshift, Sql, Redis, Rabbitmq, Jenkins, Pytorch, Spark, MongoDB, FastAPI, Kubernetes, Airflow, Sagemaker, MLFlow, Milvus

Networking, Distributed Systems, Incident Management, Kubernetes, Python, ML-specific failures, Diffusers, Torch, Observability

AWS, Computer Vision, Java, Python, Azure, Gcp, enterprise-grade products, Go, cloud platforms, applied ML research, LLM fine-tuning, reinforcement learning, large-scale distributed systems

Machine Learning, Cloud Architecture, Sql, Deep Learning, MLops, Databricks, Python, LLMs, RAG systems, Graph Modelling, MLFlow, AI features for model inference, Evaluation frameworks, Identity Access Graph

Tensorflow, Pytorch, Keras, Python, AWS, LangChain, LangGraph, Autogen, TensorFlow Serving, Hugging Face, Spacy

Deep Learning, Machine Learning, Natural Language Processing, Scala, Python, embeddings, large language models, Go, reinforcement learning, Search technologies

BigQuery, Google Cloud Platform, Kafka, Sql, Tensorflow, Pytorch, Spark, Keras, Python, retraining, CI CD, GitHub Actions, Automated training pipelines, experimentation, model monitoring

Tensorflow, Machine Learning, Pytorch, Opencv, Ocr, Python, Computer Vision, Deep Learning, GenAI, LLMs, PIL

Tensorflow, Pytorch, Docker, Spark, Databricks, Kubernetes, Python, AWS, experiment tracking, scikit-learn, MLflow, CI CD, gRPC APIs, model registries, MLOps tools, model lifecycle management

Java, Graphql, Scala, Kafka, TigerGraph, MLops, Docker, Neo4j, Spark, Python, Kubernetes, AWS, Airflow, pgvector, Qdrant, Go, MLflow, Flink, Neptune, Kubeflow, Milvus