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3 days ago
We are seeking an experienced professional to design, build and optimize intelligent AI systems.
Description:- The successful candidate will be responsible for developing scalable production-grade AI pipelines and APIs.
- He/She will own the deployment lifecycle including model serving, monitoring and continuous delivery.
- Collaborate with data engineers and product teams to ensure data integrity, performance and scalability.
- 3+ years of experience in ML/AI engineering with shipped products.
- Proficient in Python (e.g. TensorFlow, PyTorch, scikit-learn).
- Strong software engineering practices: version control, testing, documentation.
- Experience with MLOps tools (e.g. MLflow, Kubeflow) and model deployment techniques.
- Familiarity with Docker, Kubernetes, CI/CD and cloud platforms (AWS, Azure or GCP).
- Experience working with large datasets, data wrangling and scalable data pipelines (Apache Spark, Kafka, Ray, Dask, etc.).
- Good understanding of microservices, distributed systems and model performance optimization.
- A collaborative agile and supportive team culture.
- Flexible work hours and location (hybrid/remote).
- Opportunities to lead learn and shape the AI roadmap.
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