AI/ML Engineer — PyTorch & MLOpsUrgent
We are seeking an experienced AI/ML Engineer to help scale our core product and production AI capabilities. You will build, deploy, and optimise machine learning solutions using Python, PyTorch, TensorFlow, cloud infrastructure, Docker, Kubernetes, and modern MLOps practices. The role includes developing deep learning models, scalable data pipelines, APIs, and production ML services, while improving inference performance, reliability, scalability, and latency.
You should have 6+ years of experience deploying machine learning solutions in production, strong Python skills, and hands-on experience with ML frameworks, model monitoring, versioning, cloud platforms such as AWS or GCP, SQL, and backend integrations. You will collaborate with product, data, and engineering teams, contribute to technical design and code reviews, and communicate clearly with distributed stakeholders.
Budget range:
$5,000 – $10,000
- Hiring as
- A company
- Hiring stage
- Ready to make a paid hire
- Work type
- Full-time position (Contract)
- Experience level
- Senior, expert
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