Scripting, Javascript, Apis, Python, AI Machine Learning, Problem-solving, AI-powered platforms, Collaboration, Communication

Hadoop, Apache Spark, Sql, Tensorflow, Apache Airflow, Numpy, Git, Pytorch, Pandas, Docker, Flask, Microsoft Azure, Keras, FastAPI, Azure Machine Learning, Python, MLflow, AWS SageMaker, Kubeflow

Tensorflow, Numpy, Pytorch, Docker, Python, BigQuery, Sql, Git, Gcp, Pandas, pgvector, Pinecone, Scikit-Learn, Vector Databases, Cloud Run, Vertex AI Studio, Vertex AI, Large Language Models, LangChain, Generative AI, GKE, Google Gemini API, LlamaIndex, Vertex AI Vector Search

Java, Machine Learning, Scala, Deep Learning, Tensorflow, Git, Pytorch, Gcp, MLops, Docker, Azure, Python, AWS, Generative AI, Prompt engineering, LLMs, Hugging Face Transformers, Vector databases, Go, Model training, Transformers, RAG, Fine-tuning

Matplotlib, BigQuery, Pyspark, Redshift, Automation, Sql, Numpy, Pandas, Flask, Databricks, FastAPI, Python, Cloud-native development, GenAI applications, Data Analysis, MLOps principles

Continuous Integration, Machine Learning, Elasticsearch, Dynatrace, Python, Log Management, LangChain, LangGraph, AI LLM knowledge, Monitoring APM

Machine Learning, automation, Google Cloud, AWS, predictive indicators, generative AI, cloud-based AI platforms, Azure AI, AIOps

AI ethics and responsible AI frameworks, Monitoring AI system performance against ethical benchmarks, Sustainability considerations in AI development, Microsoft BOT Framework, Microsoft Copilot Studio, Mitigation strategies for AI systems

red teaming , Python Programming, agentic AI systems, EU AI Act, AI governance tooling, guardrails engineering, AI safety governance, bias fairness evaluation, trust engineering, observability systems, ISO IEC 42001, NIST AI RMF, evaluation pipelines, AI regulatory compliance