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

Machine Learning, Deep Learning, Tensorflow, Pytorch, Opencv, Python, Computer Vision, GenAI, Prompting, LLMs, GenAI systems, OCR engines, PIL, Fine-tuning

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

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

Machine Learning, Kafka, Sql, MLops, Docker, Spark, Python, Kubernetes, AWS, Ai, anomaly detection, Real-time data processing, Time-series forecasting

Machine Learning, Sql, Spark, Python, Neural architectures, ML libraries, Regression, Gradient-boosted trees, ranking, Classification, Causal reasoning, Evaluation frameworks

Python API Development, AgentOps Implementation, CI CD Infrastructure as Code, AI Safety Governance Compliance, LLM Gateway Execution Runtime, GenAIOps MLOps Frameworks, Agentic Architecture Implementation, GCP AI ML Platform Proficiency, Generative AI RAG Engineering

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

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

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