Software Development Lifecycle, Docker, Big Data, FastAPI, Restful Apis, Python, Kubernetes, NoSQL and document databases, CI/CD practices, Design and architecture of large distributed systems

Hadoop, Apache Spark, Bash, Python, operational scripting, monitoring log aggregation, AI Tooling, alerting platforms, Linux systems administration, distributed ETL pipelines, Big Data Platform Engineering

Apache Spark, Azure Data Factory, MLops, Git Hub, Docker, Ansible, Databricks, Azure Machine Learning, Python, Kubernetes, Azure DevOps, CI CD

Hadoop, Kafka, Bash, Sql, Hive, Ansible, Hue, Spark, Splunk, Cloudera Manager, Python, HDFS, Druid, NiFi

Java, Docker, Kubernetes, Python, TFX, AWS SageMaker, Kubeflow, Google Vertex AI, Go, MLflow, Metaflow

data engineering , Numpy, Pandas, Pytorch, Python, Testing and release, scikit-learn, Development processes, ELT data pipelines, ML research methodologies, Build processes, Production ML systems, Source control management, ML pipelines

Distributed Computing, Apache Airflow, Cloud Infrastructure, Linux, Terraform, metrics, System Design, Distributed Systems, Kubernetes, Python, Logging, Infrastructure as Code, Alerting, MLflow, Reliability, Monitoring

tokenization , Tensorflow, Machine Learning, Pytorch, Natural Language Processing, Objective C, Swift, Python, Deep Learning, NLP algorithms, Text decoding

Ml, Deep Learning, Tensorflow, Nlp, Pytorch, Gcp, Python, AWS, LLMs, SLMs, auto-classification, anomaly detection

Pyspark, Sql, Tensorflow, Pytorch, XGBoost, Python, real-time inference latency-sensitive model serving, LightGBM, Scikit-learn, model monitoring in production environments, incrementality measurement, Auction systems and ads marketplaces, Representation learning embeddings, Bandits and exploration strategies, online experimentation, Multi-objective optimization, Learning-to-Rank