Video Codecs, Cuda, Git, Computer Vision, Pytorch, Python, Weights Biases, PEFT, model evaluation frameworks, video processing pipelines, attention mechanisms, GPU-based training, deep learning frameworks, MLflow, CNNs, streaming technologies, inference optimization, LoRA, continuous experimentation infrastructure, Transformers, MLOps tools

Java, Python, Hana, Postgres, Kafka, GRPC, AI ML frameworks, Go

Pyspark, Logistic Regression, Factor Analysis, Predictive Analysis, Sql, Nlp, Cluster Analysis, Python, Statistical Modelling, LLMs, Statistical tools and techniques, Multivariate Regression

Video Codecs, Cuda, Git, Computer Vision, Pytorch, Python, Weights Biases, PEFT, model evaluation frameworks, video processing pipelines, attention mechanisms, GPU-based training, MLflow, CNNs, streaming technologies, inference optimization, LoRA, continuous experimentation infrastructure, Transformers, MLOps tools, deep learning fundamentals

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

Python, Sql, Adf, Hadoop, Spark, Azure DevOps, MLFlow, Feature Stores

Deep Learning, Nlp, Pytorch, Gcp, Computer Vision, Spark, Azure, Kubernetes, Python, AWS, embeddings, fine-tuning, generative AI, cloud platforms, Video, Llm, RAG, VLM, distributed data processing

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

Machine Learning, Amazon CloudWatch, Tensorflow, Pytorch, MLops, AWS CloudFormation, AWS, Generative AI, AWS Step Functions, scikit-learn, Amazon SageMaker, Amazon Bedrock