Tensorflow, Machine Learning, Pytorch, Opencv, Python, Ocr, Deep Learning, GenAI, LLMs, PIL

Sql, Tensorflow, MLops, Gcp, Pytorch, Docker, Spark, Azure, Python, Kubernetes, AWS, Observability and Monitoring, Scikit-learn, API and Microservices Architecture, Vector Databases, AI Evaluation Frameworks, Feature Stores, Reinforcement Learning concepts, Model Deployment, Agentic AI Systems, Experiment Tracking

Github, Sql, Git, MLops, Docker, Databricks, Kubernetes, Python, Orchestration, Testing, Prefect, R, GitHub Actions, CI/CD pipelines, GitOps, Production Monitoring, Software engineering best practices, Model versioning, Containerisation, Unity Catalog, Lineage

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

Ml, Deep Learning, Tensorflow, Nlp, Pytorch, Gcp, Python, AWS, LLMs, SLMs, auto-classification, anomaly detection

Github, Jira, Git, Grc, Containers, Release Engineering, CI-CD integrations, SBOM, credential management, diff-based scanning, fingerprinting, secrets scanning, ASPM tooling, RAG retrieval systems, signed builds, SCA, KEV, EPSS feeds, tree-sitter code parsing, Model runtime prompt engineering, GitLab automation, observability tracing

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

Tensorflow, Pytorch, Gcp, Azure, Python, Kubernetes, AWS, MLops, Scikit-learn

Python, Sql, Tensorflow, MLops, AWS, Pytorch, Kubernetes, Azure, Gcp, Docker, Spark, API and Microservices Architecture, AI Evaluation Frameworks, Observability and Monitoring, Feature Stores, Scikit-learn, Agentic AI Systems, Reinforcement Learning concepts, Vector Databases, Experiment Tracking, Model Deployment

MLops, Spark, Databricks, Python, Kubernetes, AWS, rollback, deployment strategies, experiment tracking, ML infrastructure, versioning, embedding retrieval systems, classical ML models, Ray, LLM agent workflows, reproducible training data, model validation, model registry, Production Monitoring, NLP models