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Showing 9 jobs
Skills:
Sql, Tensorflow, Deep Learning, Pytorch, Python, LLMs, long-term reward modeling, transformer architectures, ranking, multi-task learning, content-based techniques, collaborative filtering, hybrid approaches, candidate generation, embedding techniques, transfer learning, reinforcement learning, recommendation system algorithms, slate optimization, RLHF reward modeling, Experimental Design, bandits
Skills:
Machine Learning, Sql, Python, R, Ai
Skills:
Pyspark, Azure Databricks, Sql, Tensorflow, Deep Learning, Azure ML, Numpy, Nlp, Pandas, Pytorch, Python, Scikit-learn, Forecasting, MLflow, anomaly detection, CI CD, ML deployment, Synapse, model tuning, ML techniques, Statistics, MLOps tools, feature engineering
Skills:
theano , Sql, Java, Deep Learning, Tensorflow, Pyspark, Machine Learning, Data Science, Shell Scripting, Spark SQL, Python, Nlp, Scala, MLOps Tools, GraphDBs, Data Mining Techniques, NoSQL Databases, Go, Time Series Forecasting, Caffe, Torch, Recommendation Engines
Skills:
Tensorflow, Nlp, Pytorch, Docker, Python, Azure ML, Kubernetes, vector search, SAM, Pinecone, CI CD, Whisper, cloud ML stacks, Vertex AI, video transformers, LLaVA, LangChain, multimodal LLM frameworks, ViT, speech models, BLIP, SageMaker, Cv, FAISS, Weaviate, LlamaIndex
Skills:
, Sql, Github, Hadoop, Clustering, Python, Big Data, Hypothesis Testing, Spark, Generative AI, experimentation, Time Series Forecasting, RAG Prompt Engineering, Classification, Traditional ML, Agentic AI, Regression
Skills:
Computer Vision, Kafka, Sql, Deep Learning, Nlp, Docker, Spark, Kubernetes, Python, Airflow, reinforcement learning, Cloud AI services, RAG
Skills:
Version Control, Testing, Tensorflow, Azure ML, Computer Vision, Pytorch, MLops, Opencv, Python, LangChain, agentic AI principles, orchestration tools, generative AI, Hugging Face, Azure OpenAI services, CI CD, deep learning libraries, Semantic Kernel, Natural Language Understanding, Azure Blob Data Lake
Skills:
causal inference , Tensorflow, Numpy, Deep Learning, Pandas, AWS, Pytorch, Python, Azure, Gcp, MLOps tools, GenAI, Scikit-learn, probabilistic forecasting, cloud platforms, Gradient boosting, Bayesian Methods, Statistical Modeling, time-series forecasting
