This role is perfect for someone passionate about AI and machine learning. You'll be building scalable solutions and tackling complex business problems in a dynamic environment.
As a Machine Learning Engineer at Network Finance, you'll be part of a team dedicated to advancing artificial intelligence and digital transformation. This role involves building scalable machine learning pipelines and deploying models using MLOps best practices. You'll work with cutting-edge technologies and contribute to projects that leverage AI to solve complex business challenges.
Your day-to-day responsibilities will include: • Developing and maintaining machine learning models • Collaborating with data scientists and analysts to enhance data-driven solutions • Implementing MLOps practices to ensure smooth deployment and monitoring of models • Exploring advancements in Generative AI and NLP to improve existing systems
This position is ideal for someone who enjoys working in a fast-paced environment and is eager to learn about the latest trends in AI. You should have a solid foundation in programming languages like Python and R, along with experience in SQL and machine learning techniques. Familiarity with NLP and predictive modeling will be beneficial but is not mandatory.
If you're looking to grow your career in AI and be part of a multinational conglomerate that values innovation, this could be the perfect opportunity for you.
You'll be taken to the original listing on PNet to apply.