You will be taken to HSBC’s own careers page to apply. Job ID 63358.
Job description
Why HSBC HSBC is one of the largest banking and financial services organisations in the world. Guided by our purpose of opening up a world of opportunity, our ambition is to become the world’s most trusted bank globally, putting customers at the heart of everything we do. The Opportunity As a Senior Consultant Specialist you’ll design, develop and deploy machine learning and AI solutions aligned to business objectives. The role focuses on taking applied AI from idea to production - shaping use cases, building models and integrating them into services and data pipelines. You’ll work across cross-functional teams to translate business problems into scalable solutions that improve customer and user experiences. Success means reliable models in production with clear performance metrics, monitoring and continuous improvement in place. You’ll also help strengthen engineering standards by contributing to AI architecture, experimentation and software engineering practices. In this role, you will:
Design, develop and deploy machine learning and AI solutions aligned to business objectives
Build and optimise models across NLP, computer vision, predictive analytics, recommendation systems and LLM-powered applications
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Partner with cross-functional teams to identify high-impact use cases and translate business needs into scalable AI solutions
Develop production-ready APIs, services and data pipelines to integrate AI capabilities into existing systems
Evaluate model performance, reliability and business impact using appropriate metrics and experimentation frameworks
Embed MLOps practices for deployment, monitoring, retraining, governance and continuous improvement
Track emerging AI trends and recommend practical adoption strategies for the organisation
Mentor engineers and strengthen best practices in AI architecture, experimentation and software engineering
To be successful in this role, you should meet the following requirements:
5+ years of experience in software engineering, with at least 2–3 years of hands-on experience in AI/ML.
Apply strong Python capability and experience with AI/ML frameworks such as PyTorch, TensorFlow and scikit-learn
Demonstrate a solid grounding in machine learning fundamentals, feature engineering, model evaluation and experimentation
Build and deploy models on cloud platforms such as AWS, Azure or GCP
Apply data engineering fundamentals including SQL and building scalable data pipelines
Develop applied solutions using LLMs, generative AI, NLP or related approaches
Communicate clearly with stakeholders to shape requirements and coordinate cross-functional delivery
Building Production-Grade AI If you want to take applied AI work from concept to real-world outcomes this role offers the scope to do it at scale. You’ll build models and services that support business priorities and improve customer and user experiences. You’ll also help embed strong engineering and MLOps practices so solutions stay reliable over time. If that work sounds like a good fit we’d welcome your application. You’ll achieve more when you join HSBC. www.hsbc.com/careers HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.” Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. Issued by – HSBC Software Development India
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