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Showing 8 jobs
Skills:
Java, CSS, Angularjs, Load Balancers, Data structures, Network Architecture, Systems Integration, HTML, REST, Spring Framework, Javascript, Reactjs, Firewalls, Python, Golang, Generative AI, Agentic Framework, API Generation, database software, Object-Oriented design
Skills:
Golang, Jax, Prometheus, Cloudwatch, Grafana, Tensorflow, Pytorch, Python, Java, Scala, MLops, Spark, Keras, Kubernetes, Scalable ML architectures, End-to-end machine learning pipelines, Automated remediation, MLflow, Prediction and drift monitoring, Model hosting, Stream processing pipelines, Big data frameworks, Model versioning, API performance monitoring, Embedding scaling, Feature stores, Data versioning
Skills:
Weights & Biases), Experiment tracking (MLflow, Python, Automated scoring pipelines, a/b testing, Red-teaming, Responsible AI safety evaluation, Human-in-the-loop evaluation
Skills:
Tensorflow, Pytorch, Python, Sql, Machine Learning and Deep Learning Algorithms, R
Skills:
Machine Learning, Tensorflow, Nlp, Pytorch, Python, Clustering, Sql, Deep Learning, Git, MLops, Software Engineering, Statistical ML, Airflow, RNNs, MLflow, CI CD, CNNs, Visual System Representations, Classification, Kubeflow, Generative AI, Model Context Protocol, Advanced RAG pipelines, Regression, Agentic AI Frameworks, SageMaker, Transformers
Skills:
Automation Scripting, Security Compliance, Logging, Infrastructure Management, MLops, Docker, Automation Frameworks, Python, Kubernetes, DevOps methodologies, Infrastructure as Code, tracing, LLMOps, multimodal AI workflows, Ai, Agentic AI applications, CI CD, Monitoring, alerting, Continuous Training, Machine Learning lifecycle management, Large Language Models, observability
Skills:
data preparation , model development , Deep Learning, Scalability, data drift, failure recovery, data-engineering, Indexing, LLM-based approaches, schema evolution, large-scale processing, classical ML, Evaluation, document understanding, distributed-systems, production ML infrastructure, applied machine learning, Deployment, observability, content representations
Skills:
data engineering , Numpy, Pandas, Pytorch, Python, scikit-learn, ML pipelines
