Machine Learning Engineer

Quant Consulting Group is a dynamic and growing cashflow consultancy dedicated to empowering struggling SMEs with the financial tools and guidance to improve their business. Our innovative approach combines cash flow consultancy with business know-hows to help our clients improve their financials, giving them access to sustainable financing solutions.


We are looking for a highly-skilled Machine Learning Engineer who embodies our core values to join our team and help us amplify our thought leadership across various platforms. Our core values are Numbers Guide Our Work, Elevate and Empower, Facilitate Reciprocity, Encourage Candour.


The ideal candidate should be excited about developing, implementing, and optimizing machine learning models to solve business cash flow problems. If you are looking for a role where you’ll work in insolation or on rigid predefined tasks, you are not the right fit and you need not apply. Our focus is on driving growth and we need team members who are committed to delivering our purpose of helping entrepreneurs fix their cash flow challenges to protect their family’s livelihood.


Key Performance Indicators:

  1. Model Accuracy and Training Time
  2. System Performance Impact
  3. Error Rate
  4. Innovation and Experimentation
  5. Compliance and Documentation

Key Responsibilities:

  • Develop and implement machine learning models and algorithms to solve business problems.
  • Collaborate with data scientists and analysts to refine and optimize models.
  • Deploy machine learning models into production and ensure their performance and reliability.
  • Conduct research to stay updated on new machine learning techniques and tools.
  • Analyze and interpret model outputs and provide actionable insights.


Key Competencies:

  • Strong Programming Skills: Proficiency in languages like Python, R, and Java, and experience with machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-Learn).
  • Mathematical and Statistical Knowledge: Deep understanding of linear algebra, calculus, probability, and statistics to develop and fine-tune models.
  • Data Handling and Preprocessing: Skills in cleaning, transforming, and managing large datasets to prepare them for model training.
  • Algorithm Expertise: Knowledge of various machine learning algorithms, including supervised, unsupervised, and reinforcement learning methods.
  • Problem-Solving Abilities: Capability to translate business problems into machine-learning solutions and iterate to improve model performance. Only applications sent to careers@quantconsultinggroup.co will be considered.
  • Domain Knowledge: Understanding the industry and specific business challenges to design relevant and impactful models.
  • Communication Skills: Ability to explain complex models and results to non-technical stakeholders clearly and effectively.
  • Model Deployment and Maintenance: Experience with deploying models in production and monitoring their performance over time.
  • Adaptability and Continuous Learning: Willingness to stay current with the latest advancements in machine learning and AI technologies.
  • Collaboration: Ability to work effectively within cross-functional teams, including data scientists, software engineers, and product managers.

Requirements:

  • At least 3 years of experience in machine learning or data science roles. 3 x 1 year experience is not considered as 3 years of experience.
  • Proficiency in programming languages such as Python, R, or Java.
  • Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-Learn.
  • Strong mathematical skills and understanding of statistical methods.
  • Bachelor's or Master's degree in Computer Science, Data Science, or a related field.