Senior AI/ML Engineer

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Requirements:

• 5 years of relevant hands-on experience.
• Strong practical experience in Software Engineering.
• Practical experience designing, training, and deploying Machine Learning models (PyTorch preferred).
• Experience with Kubernetes and Docker.
• Pragmatic knowledge of various ML subfields, especially NLP, CV, and Time Series.
• Experience building and maintaining machine learning pipelines.
• Experience in using data processing frameworks (Apache Spark preferred).
• Practical programming and scripting skills (Python preferred).
• Excellent problem-solving skills and attention to detail.
• Proven experience with modern software development practices including scrum/agile, Git, and DevOps.

Responsibilities:

• Collaborate with a cross-functional data team comprising other AI/ML Engineers, DevSecOps engineers, Product Owners, Data Engineers, Data Analysts, and Data Scientists.
• Develop Machine Learning models that are integral to a larger pipeline delivering value to our end customers.