Exp : 5-10 :
The Manager for AI & ML, Data Science in the MRO avia- on sector will be responsible for leveraging advanced data analy- cs, machine learning, and AI techniques to enhance maintenance, repair, and overhaul processes. The role requires a good understanding of Aircra- maintenance, opera- ons and data-driven decision-making to op- mize MRO management, improve opera- onal efficiency, and reduce costs.
Key Responsibilities :
AI & ML Implementation :
- Develop and implement AI and ML models for predictive maintenance, anomaly detection,
and asset op- miza- on in the MRO processes.
Collaborate with engineering teams to integrate AI / ML solu- ons into exis- ng systems andworkflows.
Data Analytics & Insights :
Analyse large datasets from various sources (e.g., sensor data, maintenance records) toextract actionable insights.
Use advanced statical and machine learning techniques to predict equipment failures, optimize maintenance schedules, and improve overall fleet performance.Knowledge of Aircrati Maintenance :
Understanding the intricacies of aircra- systems, maintenance schedules, and regulatory Decision Making :Utilizing data analytics, predictive maintenance, and other technologies to make of HMV :Streamlining processes to reduce down- me and costs while maintaining high safety andquality standards.
Operational Efficiency :
Improving workflows, resource allocation, and overall maintenance operations.Sustainable Cost Reductions :Implementing strategies that not only cut costs but also ensure long-term & Stakeholder Management :Work closely with cross-functional teams, including engineering, opera- ons, procurement,stores, production, planning to align AI / ML initiatives with business goals.
Communicate complex data insights and technical concepts to non-technical stakeholders,providing clear recommendations.
Data Governance & Quality :
Ensure data quality, accuracy, and governance standards are maintained across all AI / MLprojects.
Develop data pipelines and workflows that ensure the seamless integra- on of AI / MLsolutions with business operations.
Continuous Improvement :
Stay updated with the latest trends and technologies in AI, ML, and data science, applyingnew methodologies to enhance MRO processes.
Foster a culture of con- nuous improvement and innova- on within the data science team.Key skill set :
Should have overall experience of 10+ years and 5+ years very strong in driving the projects related AI ML, Azure / AWS analytics.Proficiency in programming languages such as Java, Python, R, or SQL or any advanced DatabaseStrong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) and data tools.Experience with cloud pla- forms (e.g., AWS, Azure) and big data technologies is advantageous.Strong vendor management, inter department co-ordina- on within and outside of Qualification :Bachelor's or Master's of Engineering / Technology in AI & ML or Computer Science or IT.And
Advanced Diploma / PG Diploma in AI / ML or Data Science(ref : hirist.tech)