
Intelligent Automation Engineer
2 days ago
We are seeking a skilled engineer to design, build, and optimize machine learning models for intelligent requirement understanding and automation.
The ideal candidate will have experience in developing scalable, production-grade AI pipelines and APIs, as well as owning the deployment lifecycle, including model serving, monitoring, and continuous delivery.
Collaboration with data engineers and product teams is essential to ensure data integrity, performance, and scalability.
The role involves working on large-scale data processing and real-time pipelines, contributing to DevOps practices such as containerization, CI/CD pipelines, and cloud deployments.
Required Skills and Qualifications- 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.
Our team is passionate about innovation and collaboration. We offer a dynamic work environment where you can grow professionally and personally.
What We OfferCompetitive salary and benefits package, professional development opportunities, and a collaborative work environment.
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