• 6 -12 Month Contract which is extendable as the project is for long term.
• Work for one of the largest and well renowned brands in the financial services industry who are expanding in the region.
• Immediate Start is Preferred, but not Essential.
• Exciting and Interesting Projects to Work within the GenAI and LLM space.
• Salary Negotiable (depending on your skill and experience level.)
We are actively seeking an experienced AI Engineers or Machine Learning Engineers with a demonstrated proficiency ranging from 2 to 10 years. The ideal candidates should have hands-on experience with cutting-edge technologies, specifically in GenAI and/or LLM (Large Language Models), with a minimum of 1 year experience into this.
You will get a chance to work on the latest technologies and projects with some great industry experts.
Roles and Responsibilities:
• Working across teams to develop deploy, optimize, and architect Generative AI solutions and ML Solutions using MLOps, GenAI and LLM.
• Developing and promoting standards across the community.
• Evaluating and selecting appropriate AI tools and machine learning models for tasks, as well as building and training working versions of those models using Python and other open-source technologies.
• Emphasizing on the real-world application and production deployment.
• Collaborate within a Squad using Kanban/Agile methodologies to drive projects to successful outcomes.
• Working with leadership and stakeholders to identify AI / ML opportunities and promote strategy..
• Developing and conducting trainings for users across the Government & Public Services landscape on principles used to develop models and how to interact with models to facilitate their business processes.
• Building and prioritizing backlog for future machine-learning enabled features to support client business processes.
Experience and Qualifications:
• Bachelor/master’s degree in engineering.
• 2 to 10 years of relevant experience in AI or Machine Learning.
• Proven experience with GenAI, LLM, and developing AI solutions.
• Strong engineering background, differentiating from traditional Data Science roles.
• Focus on deployment and production rather than research.
• Familiarity with MLOps practices.
• Hands-on experience with the specified programming languages, frameworks, and tools.
• Experience in Programming Languages like Python, C/C++, Java, HTML, CSS, Bootstrap, JavaScript, MySQL, etc.
• Experience in Frameworks like TensorFlow, PyTorch, Keras, NumPy, OpenCV, Pandas, Elasticsearch, Logstash, Kibana, Unix, etc.
• Good to have knowledge and experience in Internet of Things like Raspberry Pi, Arduino, CI/CD, GitHub.
• Comfortable working in a Squad environment, utilizing Kanban/Agile methodologies.
• We will prioritize candidates with a robust engineering / development background, focusing on development, deployment, and production aspects rather than traditional research roles.
If you are passionate about AI, have a strong engineering foundation, and are excited about practical deployment in a collaborative and dynamic environment, we encourage you to apply. Join us in shaping the future of AI solutions and contributing to innovative projects with a global impact.
If you are interested in this position, please feel free to apply for this role.
Argyll Scott Singapore Pte Ltd
