Hadoop, Java, Tensorflow, Kafka, AWS, Pytorch, Redis, Python, Docker, Jenkins, Git, PostgreSQL, MongoDB, Spark, Azure ML, MLflow, Kubeflow, Google AI Platform, Hugging Face, Scikit-learn, SageMaker, LangChain, DVC

Ocr, Pytorch, Tensorflow, Python, LLM Development, Multimodal AI, Machine Learning Engineering, Observability logging and monitoring, Document understanding systems, AI Agent Workflow Automation, RAG architectures

Tensorflow, Jax, System Design, Distributed Systems, Pytorch, Python, Spark, performance optimization, Ray, CI CD, cloud-native AI ML services, distributed computing frameworks, model serving, scalable AI inference systems, model monitoring, MLOps best practices

Ml, Jax, Pytorch, Python, RLAIF, SFT, DPO, distributed training, Ai, ppo, preference data curation, reward modeling, large language models, synthetic data generation, RLHF

Sql, Microservices, Software testing methodologies, Testing distributed systems, Agile development practices, Testing REST APIs, Observability and monitoring tools, Quality engineering principles, Manual and automated test strategies, Automated quality gates, Cloud-native applications, Problem-solving, Analytical troubleshooting

Matplotlib, Power Bi, Tableau, Tensorflow, Pytorch, Seaborn, Data Visualization, AI and ML algorithms, Data Analysis, pre-processing, Data Collection, machine learning models

Servicenow, Itil, Rest Apis, IVR ACD routing, SIP VoIP, Conversational AI, Genesys Cloud PureCloud

Spark, Sql, Kafka, AWS, Kubernetes, Python, Gcp, Docker, Airflow, LlamaIndex, ADK, dbt, Hugging Face, Prefect, Weaviate, LangChain, pgvector, OpenAI API, Pinecone, MCP A2A, Chroma, Qdrant

data engineering , Ml, Pyspark, Sql, Azure Synapse, Azure Data Factory, MLops, Spark, Databricks, Azure, Python, Airflow, Ai, Prefect, Dask