Posted:15 hours ago|
Platform:
On-site
Part Time
10+ years in Artificial Intelligence with strong focus on Machine Learning, Deep Learning, Natural Language Processing (NLP), and Generative AI.
We are seeking a visionary Senior ML Engineer to lead the AIOps team within our Intelligent Automation division. You will play a critical role in driving research, building intelligent systems for IT operations, and leading a high-performing team in developing next-generation AIOps solutions.
Lead AIOps Research: Drive R&D efforts in predictive maintenance, anomaly detection, incident correlation, and root cause analysis.
Project Delivery: Oversee end-to-end execution of AI projects aligning with business and client needs.
Technical Leadership: Offer deep expertise in ML, DL, NLP, and Generative AI to shape scalable AI solutions.
Innovation in AI: Implement LLMs, Generative AI, and agentic AI to automate IT operations intelligently.
Team Management: Mentor and lead a team of data scientists and ML engineers.
Cross-functional Collaboration: Work closely with engineering, product, and business teams to integrate AI solutions.
Strategic Planning: Define AIOps strategy, roadmap, and innovation milestones.
10+ years of experience in AI/ML, including Deep Learning and NLP.
Strong hands-on experience with AIOps use cases:
Predictive maintenance
Anomaly detection
Incident correlation
Root cause analysis
Expertise in ML frameworks and libraries: TensorFlow, PyTorch, Scikit-learn
Experience with Generative AI, including LLMs (e.g., GPT, BERT, Transformers)
Proven technical leadership and experience managing AI/ML teams
Proficiency in cloud AI platforms (Azure, AWS, GCP)
Excellent communication and stakeholder management skills
Bachelor’s degree in Computer Science, Engineering, Mathematics or related field
Master’s or Ph.D. in AI, ML, Data Science, or a related field
Familiarity with MLOps tools and platforms (e.g., Databricks, MLflow)
Knowledge of agentic AI architectures and advanced automation frameworks
Experience working in dynamic, fast-paced R&D environments
Contribution to AI research papers, patents, or open-source projects
ML ENGINEER,PYTHON,NLP,AIML
UST Global
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