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Showing 10 jobs
Skills:
Git, Docker, Machine Learning Algorithms, Python, Sql, Feature engineering, Model evaluation
Skills:
Deep Learning, Machine Learning, Natural Language Processing, Scala, Python, embeddings, large language models, Go, reinforcement learning, Search technologies
Skills:
Machine Learning, Apache Airflow, Tensorflow, Pytorch, Docker, Flask, Python, AWS, Apache Spark, Api Development, Deep Learning, Django, Jenkins, Gcp, MLops, FastAPI, Azure, Kubernetes, Computer Vision, Hugging Face Transformers, Ray, Prefect, GitHub Actions, Dask, LangChain, Generative AI, Dagster
Skills:
Computer Vision, Kubernetes, Python, Docker, ML Ops workflows, experiment tracking tools, Airflow, MLflow, TFX, real-time inference systems, distributed training frameworks, model monitoring and observability tools, feature stores, cloud-native ML tools
Skills:
Hadoop, Aws Services, Apache Spark, Kafka, Redis, Sql, Docker, Unix Shell, Rest Apis, Kubernetes, Python, Airflow, Lang graph, Flink, Lang chain, Gen AI, ETL processes, AI agents, Big Data Engineering, Control-M, RAG pipelines, MCP tools
Skills:
Java, Django, Algorithms, AWS, Redis, FastAPI, Python, Gcp, Data Structures, Flask, MongoDB, Go, Gemini, Hugging Face, LLM-based systems, SQL databases, AI-assisted coding tools, OpenAI API, Object-Oriented Programming
Skills:
System Design, API design, Java, Jwt, Grafana, Datadog, Prometheus, Node.js, Kubernetes, Graphql, REST, Oauth2, Go, event-driven architectures, OpenID Connect, cloud-native application development, microservices architecture
Skills:
data engineering , Sql, Python, Hadoop, Pyspark, Spark, Big Data processing frameworks
Skills:
snowflake , Machine Learning, Scipy, Natural Language Processing, Sql, Numpy, Gcp, Pandas, Presto, Spark, Databricks, Azure, Python, AWS, LangChain, Hugging Face, Scikit-learn, Retrieval-Augmented Generation, LangGraph, Trino, Large Language Models
Skills:
Video Codecs, Cuda, Git, Computer Vision, Pytorch, Python, Weights Biases, PEFT, model evaluation frameworks, video processing pipelines, attention mechanisms, GPU-based training, deep learning frameworks, MLflow, CNNs, streaming technologies, inference optimization, LoRA, continuous experimentation infrastructure, Transformers, MLOps tools
