AWS Bedrock
, API Gateway), Application integration skills, Vector databases, CI/CD for AI Apps. Understanding of ML life cycle..., Strong coding in Python, Good knowledge on Py libraries (Pandas, Numpy, Scikit-learn (ML), Tensorflow/PyTorch...
, API Gateway), Application integration skills, Vector databases, CI/CD for AI Apps. Understanding of ML life cycle..., Strong coding in Python, Good knowledge on Py libraries (Pandas, Numpy, Scikit-learn (ML), Tensorflow/PyTorch...
with product managers, architects, data engineers, data scientists, ML engineers, and business stakeholders to integrate... AI environments Microsoft Azure, AWS, or Google Cloud TensorFlow, PyTorch, Keras, or comparable AI/ML libraries AI application...
Python/data/ML workloads, not only web applications. Good to Have: Kubernetes, GitHub Actions/Azure DevOps/Jenkins..., repeatable delivery pipelines and containerized runtime environments for data pipelines, AI automation, model workflows...
workloads on AKS or AML;model serving (Azure ML Managed Online Endpoints, Kubernetes Inference). ? Familiarity with Databricks...Role Overview This position bridges IT infrastructure management and Azure DevOps engineering to support both AI/ML...
: Boston, Atlanta, Houston, Chicago, or New York. Work Model: Hybrid 3 days onsite per week. Candidates... is highly preferred. Experience with Snowflake Cortex and AI/ML-related data engineering solutions. Exposure to AI agents...
, dataset and model versioning, and automated model release workflows. Experience with scientific ML, optimization... Engineer to turn ML research into capabilities that hold up in production, inside the platform that runs our autonomous lab...
, and enterprise knowledge grounding. Strong Python and SQL skills with production-grade development practices;experience with ML... libraries such as PyTorch, TensorFlow, or scikit-learn. Proven track record deploying and operating AI/ML solutions...
telemetry, custom model training, dynamic routing, and token/inference cost optimization. Oversee the context and knowledge... management, with significant leadership experience defining platform architectures, developer platforms, or AI/ML systems...
Model Strategy: Define the roadmap for high throughput, closed-loop simulation. Research and propose new methodologies... to assess the quality, safety, and realism of ML models used for training, evaluation and validation of L2++ and L4 automated...
, and enterprise knowledge grounding. Strong Python and SQL skills with production-grade development practices;experience with ML... libraries such as PyTorch, TensorFlow, or scikit-learn. Proven track record deploying and operating AI/ML solutions...