Posted:4 days ago|
Platform:
On-site
Part Time
Role Proficiency:
Independently develops error free code with high quality validation of applications guides other developers and assists Lead 1 – Software Engineering
Outcomes:
Measures of Outcomes:
Outputs Expected:
Code:
Configure:
Test:
Domain relevance:
Manage Project:
Manage Defects:
Estimate:
Document:
Manage knowledge:
Status Reporting:
Release:
Design:
Mentoring:
Skill Examples:
Knowledge Examples:
We are seeking a visionary AI professional to lead the AIOps team within our Intelligent Automation division. The ideal candidate will bring a minimum of 6 years of experience in AI, with deep expertise in ML, Deep Learning, NLP, and Generative AI. The role requires strong technical leadership, R&D focus, and the ability to mentor and lead a team driving cutting-edge AIOps solutions for IT operations management. Responsibilities: • Lead AIOps Research: Drive research and development of AI solutions for AIOps, focusing on predictive maintenance, anomaly detection, incident correlation, and root cause analysis. • Project Leadership: Oversee end-to-end delivery of AIOps AI projects, aligning them with organizational goals and client requirements. • Technical Expertise: Provide expert-level guidance in ML, DL, NLP, and Generative AI technologies to ensure robust and scalable solutions. • Innovation in AIOps: Explore and implement advanced Generative AI, Large Language Models (LLMs), and agentic AI for intelligent automation and IT operations. • Team Leadership: Manage, mentor, and inspire a team of AI researchers, data scientists, and ML engineers, fostering a collaborative and innovative environment. • Collaboration: Partner with cross-functional teams, including product management, engineering, and business stakeholders, to deliver impactful AIOps solutions. • Strategic Vision: Contribute to the development of AIOps strategies and roadmaps, defining milestones and objectives that drive innovation and business value. Qualifications: • Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field; advanced degree (Master’s or Ph.D.) preferred. • At least 4 years of experience in AI, with a focus on ML, DL, NLP, and Generative AI applications. • Proven expertise in AIOps-specific use cases such as predictive maintenance, anomaly detection, and incident management. • Proficiency in ML frameworks and libraries like TensorFlow, PyTorch, and Scikit-learn. • Strong experience with Generative AI and LLMs such as GPT, BERT, or similar transformer models. • Familiarity with MLOps tools, Databricks, and cloud-based AI services from Azure, AWS, and GCP. • Demonstrated team leadership experience, with the ability to manage, mentor, and grow technical teams. • Excellent problem-solving and analytical skills, with a results-oriented mindset. • Exceptional communication skills to effectively collaborate with diverse stakeholders. • Ability to operate in a fast-paced, dynamic environment while maintaining a focus on quality and innovation.
Artificial Intelligence,Machine Learning,Python
UST Global
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