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Showing 10 jobs
Skills:
Machine Learning, Power Bi, Kafka, Tableau, Sql, Nlp, Pytorch, XGBoost, Spark, Databricks, Azure, Python, AWS, Airflow, Generative AI, SHAP, scikit-learn, MLflow, SageMaker, LIME, dbt
Skills:
Large Language Models (LLMs), Algorithms, Pyspark, Tensorflow, Numpy, Pytorch, Flask, Software Engineering, data structures, Sql, Pandas, Matplotlib, FastAPI, scikit-learn, LangGraph, Analytics, Data Processing, LLM as a Judge, cognitive APIs, building and maintaining data pipelines, Python programming Language, Generative AI technologies, RAG, data visualization libraries
Skills:
text classification , Elasticsearch, Deep Learning, Tensorflow, Kafka, MLops, Machine Learning, Pytorch, Sentiment Analysis, Flask, PostgreSQL, Keras, Redis, FastAPI, Kubernetes, Python, Docker, Nlp, MongoDB, Restful Apis, LLMs, LLMOps, Azure OpenAI, embeddings, Weaviate, NER, LangChain, RAG, Pinecone, LangGraph, Scikit-learn, intent detection, FAISS
Skills:
MLops, AWS, Terraform, Python, Agentic AI, LLMs
Skills:
Sql, Java, Adf, Hadoop, Tableau, Power Bi, Python, Azure, Scala, Spark, Data bricks, machine learning frameworks, optimization solvers
Skills:
Tensorflow, Sql, S3, Pytorch, Aws Services, Python, Lambda, Data Visualization, Step Functions, R, ETL workflows, Scikit-learn
Skills:
probability , Spark, Python, Sql, Optimization theory, linear algebra, Mixed-integer programming, CPLEX, COIN-OR, Gurobi, Mathematical optimization
Skills:
model selection , Large Language Models (LLM), Apache Hadoop, Apache Spark, Sql, Kubernetes, Python, Generative AI, Guardrail implementation, AIOps tools, Lean and Iterative Deployment Methodologies, R, Machine learning techniques, Data preparation for GenAI training, Object-based data stores, Model fine tuning and customization
Skills:
Machine Learning, Hive, Deep Learning, Python, Nlp, Hadoop, Pyspark, Advanced Sql, Generative AI
Skills:
Api Development, Tensorflow, Pytorch, Databricks, Python, LangChain, content generation systems, computer vision models, generative AI solutions, cloud platforms, LangGraph, MLOps practices, observability tools for AI systems, LLM models, MCP-based integrations, evaluation techniques for GenAI, RAG pipelines
