Software Engineer

2 months ago

Singapore SPLORE PTE. LTD. Full time
Roles & Responsibilities

What is Splore?


Founded and funded by Temasek and Menyala, Splore is a Human Centric AI Platform that elevates and enhances the customer and employee experience, with a focus on revenue acceleration and cost efficiency.


Splore’s proprietary OS is powered by a trust-and-accuracy-focused, continually learning, multi-agent Answer Engine that can respond to complex queries and execute tasks with support for human-in-the-loop.


Splore empowers businesses to unlock the vast potential of not only their information assets but also leverage Splore's proprietary knowledge index and language models, thereby enabling them to make quicker, more informed decisions. Users get fast, relevant, and trusted answers, thereby eliminating the all-too-common frustration of sifting through irrelevant information or waiting for answers.


Crafted by experts in machine learning, distributed systems, and enterprise applications, Splore blends data from the web with proprietary information and enterprise data to provide tailored results.


Our mission is to help elevate human experiences through empathic access to services and information.


What is the role?


We are seeking a motivated Machine Learning Engineer with proficiency in Python, ML/DL algorithms and microservice framework. The ideal candidate will have a good understanding in NLP and deep learning with certain exposure to generative models, and familiarity with cloud services. This position offers a unique opportunity to gain hands-on experience in applying machine learning techniques to real-world projects.


Responsibilities


In this role, you will:

  • Collaborate with senior engineers to develop and implement machine learning models and algorithms for our AI answer engine.
  • Assist in collecting, preprocessing, and analyzing data sets to derive meaningful insights.
  • Support the design, testing, and fine-tuning of machine learning models.
  • Participate in brainstorming sessions, contributing innovative ideas to enhance existing models or develop new ones.
  • Engage with customer success team to identify potential customer painpoints and design solutions correspondingly.
  • Stay up-to-date with the latest advancements in machine learning and related technologies.


Attributes


We are looking for a Machine Learning Engineer with the following:

  • Dealing with Ambiguity - You thrive in navigating dynamic environments, making informed decisions amid evolving scenarios and comfortably embracing uncertainty.
  • Collaborates - We're all about teamwork here. You will work closely with the Senior Engineers to develop and implement machine learning models and algorithms. Close cross functional collaboration with our Product, Design and Engineering teams will be key in building our gaming search engine
  • Nimble Learning - We're looking for someone who thrives in a startup environment. You're not afraid to get your hands dirty and learn through experimentation when faced with fresh challenges. You're always on the pulse of the latest ML trends and immersing yourself in new technologies.
  • Functional/ Technical Skills - Strong foundations in machine learning fundamentals and algorithms, with prior experience in developing and implementing machine learning models.Proficiency in Python and FastAPI
    Proficiency in machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, transformers, scikit-learn).
    Experience in LLM fine-tuning, e.g. full fine-tuning, LoRA based
    Experience with NLP libraries/frameworks such as NLTK, SpaCy, Gensim, LLMs for NLP tasks.
    Knowledge of accelerated DL training distributed training and cloud platforms such as AWS is a bonus.

Tell employers what skills you have

TensorFlow
Machine Learning
Application programming interface
Product Design
Autonomy
Experimentation
NLTK
Software Engineering
Customer Success
Microservices
PyTorch
Python
Transformer
Cloud Services
Data Science
Scientific Computing
FastAPI

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