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Remote role plus broad ML/AI skillset increases candidate density despite senior-level requirement.
Role needs specialized ML/AI applied to IT operations, making cross-industry transfer moderately feasible.
Explicit 10+ years and 4+ years AI/ML plus required ML stack imply high shortlisting strictness.
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Design, develop, and implement AI/ML solutions to improve IT managed services including Data Center, Network Management, and Digital Workplace Services.
Develop scalable AI/ML models for applications like predictive maintenance, anomaly detection, incident response, and NLP-enhanced service desk operations.
Collaborate with cross-functional teams and conduct research on latest AI/ML technologies to drive innovation and optimize automation in IT operations and cybersecurity.
Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or related field.
10+ years of software engineering experience with at least 4 years in AI/ML development.
Strong programming skills in Python or Java and extensive experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
Familiarity with cloud platforms (AWS, Azure, GCP) and AI/ML services, plus experience in deep learning, neural networks, and LLMs.
Senior-level software engineer with expertise in AI/ML applied to IT operations, network management, or cybersecurity contexts.
Experience managing end-to-end AI/ML projects including model development, integration, and deployment within fast-paced environments.
Proven ability to collaborate cross-functionally and communicate complex AI/ML concepts clearly to technical and non-technical stakeholders.