containerization , Github, Unit Testing, Tensorflow, Numpy, Docker, Python, Scipy, Pandas, Kubernetes, Computer Vision, CI CD Pipelines, Multi-repo or Monorepo ML Architecture, scikit-learn, Cluster Creation, DevSecOps Automation, Model Deployment, ML Model Design Deployment, Edge AI Deployments, Open-source ML Tooling Contributions, Edge Deployment, Databricks Workflows, Real-time Analytics, Azure Cloud Architecture for ML, Edge Vision Deployments, ACR, Repo Management, Portainer

Python, Tensorflow, Pytorch, Docker, Kubernetes, Cloud Platforms

Machine Learning, data mining, Deep Learning, Tensorflow, MLops, Gcp, Pytorch, Databricks, Azure, Python, AWS, scikit-learn, data processing transformation tools, cloud environments, Optimization, big data infrastructures, CI CD for ML monitoring

S3, Machine Learning, Pytorch, Docker, Sqlite, XGBoost, Postgres, Python, AWS, Matplotlib, Sql, Jenkins, Pandas, Information Retrieval, ML Pipelines, HuggingFace, LabelBox, OpenSearch, MosaicML, LightGBM, Amazon EKS, Scikit-learn, DVC, Transformers, NVIDIA NeMo, Jupyter

Deep Learning, Databricks, Tensorflow, MLops, Machine Learning, AWS, Pytorch, data mining, Python, Azure, Gcp, cloud environments, scikit-learn, CI CD for ML monitoring, Optimization, big data infrastructures

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

AWS, Sql, Databricks, Deep Learning, Machine Learning, MLops, Python, Azure, Cloud Architecture, LLMs, Evaluation frameworks, Graph modelling, RAG systems, MLFlow, Identity Access Graph

data engineering , Sql, Python, Hadoop, Pyspark, Spark, Big Data processing frameworks

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