Machine Learning Engineer

Job Responsibilities

• Working with Product and Data Science teams;
• Producing end to end machine learning pipelines for model training and inference;
• Building machine learning capabilities into the clients intelligence platform;
• Advocate and champion engineering best practices within machine learning and MLOps
• Working on machine learning ops to produce postproduction model support and monitoring;
• Exploring and recommending new tools and processes which can be leveraged across the platform;
• Accountable for end-to end delivery of solutions from requirements gathering to production;
• Mentoring and developing junior members.

Experience Required

• Minimum Bachelor’s degree in computer science, data analytics or similar
• 6+ years of experience in the software industry, with a proven track record of shipping high quality products;
• 2+ years of experience with machine learning in production systems;
• Proficient in at least one major programming language e.g python, java, C++ etc;
• Experience in full Machine learning model lifecycle including training, deployment and postproduction monitoring;
• Familiar with supervised and unsupervised learning and common ML algorithms;
• Solid understanding of machine learning modelling/computation frameworks such as scikit-learn, PyTorch, Tensorflow, or Spark ML;
• Experience with Distributed computing with Spark;
• Excellent verbal and written communication skills including the ability to effectively explain technical concepts; and
• Good judgment, time management, and decision-making skills