error analysis , Deduplication, Pytorch, Python, Cloud Storage, Statistical Analysis, data augmentation, model training, model-based labeling, distributed compute, Active Learning, VLMs, Hugging Face LLMs, ablation studies, dataset curation, benchmark evaluation, workflow orchestration, weak supervision, Batch Processing, inference evaluation, synthetic-data generation, Production Monitoring, data-quality measurement, diffusion models, multimodal models

data engineering , Numpy, Pandas, Pytorch, Python, scikit-learn, ML pipelines

snowflake , Numpy, Python, BigQuery, Machine Learning, Emr, Redshift, Sql, Pandas, Aws S3, Label Studio, Airflow, data pipelines, scikit-learn, pgvector, Cpt, WhyLabs, LLM systems, OpenSearch, ICD-10-CM, Snorkel, Evidently, data-quality controls, Arize, Hcpcs, dbt, Glue

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

Natural Language Processing, Deep Learning, Python, Scala, Machine Learning, Search Technologies, Retrieval Augmented Generation, Large Language Models, reinforcement learning, Go, Embeddings

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

Tensorflow, Machine Learning, MLops, Pytorch, Natural Language Processing, Python, Sql, Deep Learning, Vector Databases, Generative AI, Retrieval-Augmented Generation

Machine Learning, Sql, Tensorflow, Pytorch, Gcp, MLops, Azure, Python, AWS, Generative AI, scikit-learn, LLMOps, SageMaker, Agentic AI, Kubeflow