Responsibilities

The ML Engineer role has the following responsibilities:

• Contribute where needed to the full ML life-cycle from development to deployment to maintaining
• Train models for use in language translations, text corrections/completions and for sentiment analysis
• Analyse and extract relevant information from large amounts of various data and design algorithms to explore users’ latent interests efficiently.
• Help design, develop, evaluate and iterate on predictive models for candidate generation and ranking(eg. Click Through Rate and Conversion Rate prediction), including, but not limited to building real-time data pipelines, feature engineering, model optimisation and innovation.
• Design and build supporting/debugging capabilities as needed.

Desired Qualities

The ML Engineer role has the following requirements:

• You are Undergraduate or Postgraduate currently pursuing a Degree/Master/PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline OR
• You have done a project with LLM and natural language processing
• Completed courses in any of the following: recommendation systems, online advertising, information retrieval, natural language processing, machine learning, large-scale data mining, or related fields.
• You have worked with – applied machine learning, familiar with common machine learning and deep learning models. (K-means, LR, GBDT, FM, DNN, Transformer)
• Experience in Deep Learning Tools such as tensorflow/pytorch or others
• Strong programming and problem-solving ability.
• You are reliable and committed to delivering functionality that others can experience
• You are able to work a minimum of 25hrs per week across 4 days between Mon-Sun

Why Us

• We are a small firm which means you can make a bigger impact with your contributions.
• 100% Remote
• No 9-5, you set your schedule
• Flexibility with tasks.
• You have more ownership of your work but will never be stranded as support is always on hand.
• We will think along with you on your ideas and suggestions, so you will always be able to contribute.
• Acquire both soft and hard skills that will prepare you for your other roles.

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