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

Git, Docker, Machine Learning Algorithms, Python, Sql, Feature engineering, Model evaluation

Pytorch, Python, Data annotation or labeling systems, Evaluation design and quality measurement

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

Machine Learning, Sql, Spark, Python, Neural architectures, ML libraries, Regression, Gradient-boosted trees, ranking, Classification, Causal reasoning, Evaluation frameworks

pruning , Pytorch, Python, evaluation methodology, experiment tracking, DeepSpeed, benchmark design, reproducibility practices, FSDP, quantization, Compression, model optimization

Machine Learning, Apache Airflow, Tensorflow, Pytorch, Docker, Flask, Python, AWS, Apache Spark, Api Development, Deep Learning, Django, Jenkins, Gcp, MLops, FastAPI, Azure, Kubernetes, Computer Vision, Hugging Face Transformers, Ray, Prefect, GitHub Actions, Dask, LangChain, Generative AI, Dagster

Computer Vision, Kubernetes, Python, Docker, ML Ops workflows, experiment tracking tools, Airflow, MLflow, TFX, real-time inference systems, distributed training frameworks, model monitoring and observability tools, feature stores, cloud-native ML tools

Hadoop, Aws Services, Apache Spark, Kafka, Redis, Sql, Docker, Unix Shell, Rest Apis, Kubernetes, Python, Airflow, Lang graph, Flink, Lang chain, Gen AI, ETL processes, AI agents, Big Data Engineering, Control-M, RAG pipelines, MCP tools

Machine Learning, AWS, Pytorch, Deep Learning, Python, Tensorflow, Gcp