AI Engineer/Associate Director, Software Engineering Specialist
4 weeks ago
Some careers shine brighter than others.
If you’re looking for a career that will help you stand out, join HSBC, and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further.
HSBC is one of the largest banking and financial services organizations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realize their ambitions.
We are currently seeking an experienced professional to join our team in the role of Associate Director, Software Engineering Specialist
Job Detail :
We are seeking a Machine Learning, Generative AI, and Data Science Engineer to develop AI-driven solutions that enhance IT infrastructure management, automation, and security. The candidate will leverage machine learning, deep learning, and generative AI to optimize operations, predictive maintenance and IT service management.
Key Responsibilities:
AI-Driven IT Infrastructure Optimization: Develop predictive analytics models to monitor and enhance IT system performance.Implement anomaly detection algorithms for security, fault detection, and intrusion prevention. Use AI to automate IT operations, including incident response, log analysis, and system diagnostics. Machine Learning Model Development & Deployment: Design and train AI/ML models for IT infrastructure automation, cloud resource optimization, and workload balancing.
Implement LLMs and NLP to enhance IT ticketing systems and self-healing .Deploy AI models into cloud-based and on-prem IT environments using MLOps best practices. Data Science & Engineering: Collect, pre-process, and analyze large-scale IT infrastructure logs, telemetry, and system health data.
Build and maintain real-time data pipelines for AI-driven IT operations (AIOps). Utilize big data tools (Hadoop, Spark, Kafka) for large-scale infrastructure analytics. Collaboration & Innovation: Work with IT teams, DevOps, and security engineers to integrate AI solutions into existing infrastructure.
Research and experiment with Generative AI models (, GPT, BERT, LLaMA) to improve IT workflows and automation.
Stay updated on emerging AI trends in IT operations, cybersecurity, and cloud management. Requirements
Qualifications – External
To be successful in this role you should meet the following requirements:
Bachelor’s degree in engineering, Information Technology, or a related field (or equivalent experience). 10+ year Hands-on experience with machine learning frameworks (, TensorFlow, PyTorch) and generative AI tools (, Hugging Face, OpenAI, LangChain). Design, develop, and deploy machine learning models to solve business challenges, including predictive analytics, recommendation systems, and optimization problems. Analyse large, complex datasets to uncover trends, patterns, and insights that inform business strategies and product development. Clean, pre-process, and transform raw data into formats suitable for analysis and modelling. Deep understanding of machine learning algorithms (, regression, classification, clustering, deep learning) and generative AI techniques (, GANs, VAEs, transformers). Strong programming skills in Python, R, or similar languages. Experience with data manipulation and analysis using SQL, Pandas, NumPy, etc. Familiarity with big data technologies (, Hadoop, Spark).-
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