ML Engineer

As an experienced professional in the field of machine learning, you will be responsible for applying machine learning techniques such as Natural Language Processing and Computer Vision using tools like TensorFlow and Pytorch. Your strong analytical and problem-solving skills will be crucial in building and deploying end-to-end machine learning models to support predictions, recommendations, search, and growth strategies. You will be expected to have solid software engineering skills in languages like Java, Python, and C/C++. Your expertise in ML techniques including classification, clustering, deep learning, and optimization methods will enable you to develop and debug machine learning models effectively. Additionally, you will establish scalable, efficient, and automated processes for data analyses, model development, validation, and implementation. In your role, you will need to choose suitable deep learning algorithms, software, hardware, and integration methods. It is essential to ensure that AI ML solutions are developed and validated in accordance with Responsible AI guidelines & Standards. You will be responsible for closely monitoring model performance and implementing improvements post-project delivery. As a Squad Lead of the AI ML Delivery team, you will lead the squad in delivering AIML solutions. Understanding business requirements, executing ML solutioning, and ensuring timely delivery commitments are key aspects of your role. You will design and deliver AI ML use cases, oversee model validation and improvements, and manage stakeholder relationships effectively. Your responsibilities will include risk management, governance, and compliance with regulatory frameworks. Additionally, you will manage the team, review models, and nurture talent as required. It is crucial to work collaboratively with various teams to design, code, train, test, deploy, and iterate on enterprise-scale machine learning systems. To be successful in this role, you should have a Master's degree with a specialization in Technology and certification in AI and ML, along with 4-8 years of hands-on experience in developing and delivering AI solutions. Stakeholder management skills, strong communication abilities, and a proactive attitude are essential for this position. Join us at Standard Chartered, where you will have the opportunity to work in an international bank that values diversity and inclusion. If you are looking for a purpose-driven career and want to contribute to making a positive difference, we encourage you to apply. We offer a supportive work environment, continuous learning opportunities, and flexible working options to help you grow both personally and professionally.,