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What we offer:
And what is more:
• 5+ years experience in AI/ML model development and/or deployment of AI/ML workloads
• Experience designing & developing automated pipelines for data extraction, ML model training, ML model production deployments and production monitoring
• Hands-on experience from industry projects and actual validation of models for the operation, scalable deployment and operation and monitoring of machine learning applications for end users
• Background in developing and implementing automation frameworks and strategies
• Proficient in Python, with experience in coding and debugging in Python
• Hands-on experience with a cloud computing platform such as IBM Cloud, AWS, Azure, or GCP
• Experience with DevOps practices and tools such as Docker, Kubernetes, and CI/CD pipelines
• Experience with big data technologies such as Hadoop, Spark, and NoSQL databases
• Linux skills, preferably in RHEL
• Knowledgeable in applying security practices/techniques in containerized and non-containerized solutions
• Fluent in written and spoken English
• Hands-on experience with machine learning techniques and tools, including but not limited to: TensorFlow, PyTorch, scikit-learn, and XGBoost
• Familiarity in multiple programming languages (Python, Java) demonstrating versatility and adaptability is a plus
• Certification in data engineering, machine learning, or AI
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