Nlp, LangChain, GPU optimization, Airflow, DeepSpeed, Triton Inference Server, speech models, distributed training, multimodal transformer models, MLflow, real-time video processing, Ray, Vector DBs, Horovod, Cv, RAG, KServe

Machine Learning Algorithms, Deep Learning, Image Processing, MongoDB, Predictive Analytics, Python, Visualization, Linux environments, Model monitoring, Advanced Statistical Modelling, NoSQL databases, Data Processing, Recommendation Systems, R, RDBMS SQL, Large-scale datasets, Data Gathering, Statistical Techniques

snowflake , Sql, Tensorflow, Pandas, Pytorch, Spark, Python, Scikit-learn, vector databases, MLflow, prompt engineering, Agentic AI systems, MLOps practices, MCP Model Context Protocol, LLM-powered applications, Kubeflow, Generative AI LLM Proficiency, RAG pipelines

Tensorflow, System Design, Computer Vision, Python, Pyspark, Torch, Recommendation engines, Graph Knowledge Bases, Large-scale Search systems, Image Understanding models, Generative AI

Sql, Machine Learning, Deep Learning, Data Science, Python, vector databases, RAG pipelines, applied AI, semantic data systems, enterprise knowledge grounding, semantic models, embeddings, enterprise ontologies, knowledge engineering, GenAI systems, big data infrastructure, semantic retrieval, Statistical Modeling

Spark, ML Ops, Applied ML

snowflake , Sql, Tensorflow, Pandas, Pytorch, Spark, Python, Scikit-learn, MLflow, vector databases, prompt engineering, Agentic AI systems, MCP Model Context Protocol, MLOps practices, LLM-powered applications, Kubeflow, Generative AI LLM Proficiency, RAG pipelines

LangSmith (tracing, evaluations), Python, Pyspark, Sql, XGBoost, metrics, Scikit-Learn, LightGBM, Random Forest LangChain, LangGraph

Unsupervised Learning, Spark, Databricks, Python, Deep Learning, supervised learning

Hadoop, Sql, Deep Learning, Tensorflow, MLops, Pytorch, Gcp, Docker, Spark, Keras, Azure, Kubernetes, Python, AWS, LangChain, DSPy