Machine Learning Engineer - Octave: Data and Advanced Analytics Centre of Excellence

John Keells Holdings PLC (JKH) is Sri Lanka’s largest listed conglomerate in the Colombo Stock Exchange. From managing hotels and resorts in Sri Lanka and the Maldives to providing port, marine fuel and logistics services to IT solutions, manufacturing of food and beverages to running a chain of supermarkets, tea broking to stock broking, life insurance and banking to real estate, we have made our presence felt in  virtually every major sphere of the economy. Our business built over 150 years touches nearly every major sector of the economy. We generate a significant quantum of data, and we intend to use it to build the future of our businesses. Our Digital and Analytics insights can positively disrupt life for all Sri Lankans and our commitment to passion and excellence will help to deliver superior value to customers, our people, and the community. Octave is at the core of data-driven strategic and operational decision-making at JKH. We solve some of the most complex challenges across multiple industry verticals by developing advanced machine learning and AI solutions—positively impacting the lives of millions of Sri Lankans. In addition to our work within JKH, we also collaborate with local and international clients to support their AI and data analytics transformations. At Octave, you’ll be part of a world-class team of data scientists, machine learning engineers, and AI researchers, guided by senior technical leaders with PhDs in AI-related fields and experience at leading global tech companies. Role Description As a Machine Learning Engineer at OCTAVE, you will play a pivotal role in developing and deploying innovative machine learning models and algorithms. You will work closely with our cross-functional team of data scientists, data engineers, domain experts, and clients to create solutions that address complex business challenges.  Key responsibilities:  Design, develop, and implement machine learning algorithms and models to solve real-world problems.  Optimize machine learning engineering models and pipelines and ensure scalability of the models in the production environment.  Implement state of the art MLOPS best practices at Octave, including, but not limited to, feature store, model monitoring, model management, experiment tracker, automated CI/CD, etc.  Research and develop state-of-the-art AI/DL/ML techniques, algorithms, and tools. Introduce those to Octave.  Deploy machine learning models into production environments, ensuring scalability and reliability.  Continuously monitor and evaluate model performance, making necessary adjustments to maintain performance, accuracy and effectiveness.  Collaborate with data scientists, data engineers, and delivery teams to understand business requirements and translate them into technical solutions.  Stay up to date with the latest developments in machine learning and contribute to the company's knowledge base through research and experimentation.  …