Senior Machine Learning (ML) Engineer

Job Description

Job Description

As a Senior Machine Learning (ML) Engineer for an exciting opportunity to work on ambitious challenges and a wide range of projects. You’ll be part of a dynamic new team with full access to AWS enterprise-level support for cutting-edge technologies and APIs, as well as extensive cloud resources.

With access to over 20 years of historical company data for training, you will play a critical role in developing and deploying proprietary machine-learning models and algorithms. And you’ll be highly popular, as your work will have a significant impact on reducing the workload of other teams!

Your challenges

• Use your machine learning expertise to design, develop, and deploy state-of-the-art models and algorithms that tackle the toughest challenges across a range of exciting projects. You’ll start by working on table and data extraction, fraud detection and duplicate identification, content summarisation, and automated translation.
• Level up our chatbot capabilities by fine-tuning transformers and natural language processing for document and text analysis. You’ll make our live chat responses smarter and generate clear and crisp transcripts for client calls.
• Continuously fine-tune your models using next-level techniques like GPU tuning and scaling to boost accuracy and efficiency. You’ll be pushing the limits of what’s possible in machine learning.
• Collaborate with our teams to integrate your machine-learning models into our platform. You’ll make a direct impact on our performance and functionality, and they’ll love you for it.
• Develop and maintain machine learning pipelines for massive data processing and analysis. You’ll keep everything running smoothly and help us handle more data than ever before.
• Stay ahead of the curve by keeping up-to-date with the latest and greatest in machine learning research. You’ll apply your new knowledge to our needs, so we can continue to innovate and achieve greatness.

Requirements

• Minimum of 5 years in the related field

• University degree in computer science, mathematics, or a related field

• Proficiency in Python and relevant machine learning libraries such as TensorFlow or PyTorch
• Experience with cloud platforms such as AWS or GCP
• Strong problem-solving and analytical skills
• Strong communication and collaboration skills

What’s good to have

• Fluency in written and spoken English
• Experience with financial datasets and financial analysis
• Experience with containerization technologies such as Docker and Kubernetes
• Experience with reinforcement learning or deep reinforcement learning
• Experience with large-scale data processing and analysis using tools such as Hadoop or Spark

Benefits

• Market-based salary
• Annual performance bonus
• Medical insurance
• Housing and transportation allowance
• Casual dress code
• ​Work permit