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AI Digital Product Sr Manager – AI Platforms Location: India - Hyderabad Remote Type: On Site Time Type: Full time Job Description Career Category Information Systems Job Description Join Amgen’s Mission of Serving…
Builds and deploys generative-AI systems that create culinary content for HelloFresh’s chefs, using Python/SQL and MLOps tools like MLFlow and Prefect.
APPLICATION DEADLINE: Friday, April 17th at 5:00pm central time , we encourage you to apply soon if interested. We recognize that job searching can sometimes feel uncertain and are committed to keeping you informed…
Build and maintain ETL pipelines and production ML systems on Azure, deploying models with Databricks and PySpark while ensuring data quality and model performance.
Principal ML Engineer at Grab’s AI Platform team, building and scaling ML infrastructure for Southeast Asia’s superapp, including LLM training/serving, fraud detection, and search ranking.
Build and maintain an internal AIOps/ML/LLM platform, including Kubernetes infrastructure, ML workflows, and production deployment for cybersecurity use cases.
Build and productionize generative AI models and LLM-driven applications using PyTorch, RAG pipelines, and vector databases, while engineering robust MLOps and data pipelines in Python.
Build and maintain cloud-native ML pipelines and automation for AI model deployment using tools like MLflow, Kubeflow, and AWS SageMaker.
Build and maintain AI/ML pipelines, deploy models, and manage lifecycle with tools like MLflow, Kubeflow, or cloud platforms (AWS SageMaker/Azure ML).
Build and deploy enterprise-grade AI solutions using LLMs, predictive models, and agentic workflows on AWS, Snowflake, and Palantir Foundry to deliver scalable analytics and insights across Merck’s business functions.
Build and scale AI infrastructure for industrial automation, bridging research and production with MLOps and distributed systems.
Lead the design and delivery of LLM-powered and agentic AI workflows for JPMorganChase’s internal employee platforms, integrating AI safely into enterprise systems while ensuring reliability and compliance.
Build and deploy optimisation, forecasting, and scheduling models using Python, SQL, Databricks, and MLflow to improve operational decisions for a client’s AI transformation.
Build and deploy large-scale AI solutions for Microsoft’s enterprise customers, using Python/C++ and cloud platforms to analyze data and deliver Responsible AI outcomes.
Lead the design and implementation of scalable GenAI, LLM, and AI-agent architectures, including RAG and MLOps/LLMOps pipelines, to deliver enterprise solutions and accelerate client adoption.
Build and own the data infrastructure and MLOps tooling for Neurode’s brain-computer interface, turning raw neural signals into pipeline-ready training data at petabyte scale.
Build and deploy LLM-based AI systems for government services using RAG, fine-tuning, and prompt engineering with Python, LangChain, and cloud ML services.
Builds and maintains data pipelines, deploys ML models, and improves forecasting for a renewable-energy company.
Build and optimize scalable training and inference infrastructure for reinforcement-learning AI agents, deploying across cloud and edge with a focus on latency, throughput, and cost efficiency.
Design and deploy enterprise-scale AI solutions like pricing optimization and anomaly detection using Python, Spark, and cloud platforms.
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