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

Python, Containerized environments, Machine Learning Engineering, Applied AI, Data pipelines, Distributed training, Model evaluation

Spark, Databricks, Python, LLM-based pipelines, LightGBM, Transformers, MLflow, semantic search

Java, Nosql, Machine Learning, Perl, Natural Language Processing, Big Data, Python, Document Retrieval, Map-Reduce, Search Engine Technologies

S3, Tensorflow, Nlp, Pytorch, Docker, Python, Aws Services, Clustering, Redshift, Sql, Pig, Django, Git, Hive, Computer Vision, Anthropic Claude, Finetuning, AWS Bedrock, Azure OpenAI, Deep Learning architectures, GPTX.x, CNNs, Sagemaker, Classification, NLU, RAG pipelines, LangChain, LLMs, Regression, Llama, Transformers, Athena, Prompt Engineering

classification), NLP (tokenization, Oops, C, C++, Os Fundamentals, Objective-c, Tensorflow, Pytorch, Swift, Python, language modeling, modern agentic and multi-agent systems, decoding, RAG architectures

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

triton , data pipeline, Tensorflow, Pytorch, experiment tracking, quantisation, TensorFlow Serving, MLflow, model-serving frameworks, batching, inference optimisation, classical ML, SageMaker, LLM fine-tuning, Distillation, MLOps tooling, Kubeflow, model registries, TorchServe, feature engineering

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

Tensorflow, Pytorch, Docker, Python, AWS, Sql, Gcp, MLops, Spark, Azure, Kubernetes, Anthropic Claude, Multi-agent frameworks, Azure OpenAI, Agentic AI systems, Mistral, RAG architectures, LLMs, Prompt engineering strategies, Scikit-learn, model deployment, Fine-tuning pipelines, Agentic AI, Llama, RAG, OpenAI, Gemini