Kubeflow jobs
9 open roles for kubeflow, updated continuously as employers post them.
Hiring most here right now:
Data Careers Hub - Lead Data Scientist
A senior technical leadership data science role at XPO based in Hyderabad or Pune, architecting enterprise GenAI and RAG solutions for supply chain operations. Suits an experienced data scientist ready to lead AI strategy and mentor a team.
MLOPS Engineer
A hybrid MLOps Engineer role at Cognizant in Chennai, building deployment, monitoring and retraining pipelines for machine learning models. Suits an experienced engineer, 6 to 15 years, strong in Kubernetes and cloud ML platforms.
Senior Machine Learning Engineer
A senior ML engineering role at Syncron, remote within Karnataka, India, spanning model development through production MLOps. Suited to practitioners with 4-8 years of experience who can move from notebooks to production.
Senior Data Engineer
A senior data engineering role at Flinks to build the company's data and ML platform from the ground up, open to remote candidates across Canada.
Principal Engineer - Perf and Benchmarking
Principal engineer role in Sunnyvale or Bellevue leading performance engineering and benchmarking for CoreWeave's AI cloud infrastructure. The position is for a senior technical leader with ten-plus years of distributed systems or HPC experience and deep GPU, Kubernetes, and ML-platform expertise.
Senior AI Engineer
A senior AI engineering role at EPAM Systems in Pune, owning end-to-end delivery of AI/ML and generative AI solutions. Suits someone with 5-8 years of IT experience, including hands-on AI engineering.
Senior Machine Learning Engineer
A senior ML engineering role at Syncron in Bengaluru, for a practitioner who builds models and also ships them to production.
Data Scientist
Hybrid Data Scientist role in Bangalore focused on computer vision, deep learning, model deployment, and production MLOps.
Senior Machine Learning Engineer
Quantiphi is hiring a senior Machine Learning Engineer in India to lead production ML, generative AI, and MLOps delivery for healthcare and life sciences projects. The role suits hands-on technical leaders with six to eight years of experience across Python, deep learning, RAG, agentic systems, and cloud operations.