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Open nowPosted 2 days ago

Data Scientist

MyCareersFuture94,028 open roles

Pay
SGD 7,000 – SGD 10,500 a month
Where
Singapore
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Your applicationOpen nowData ScientistMyCareersFuture · Singapore

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on MyCareersFuture's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.6%1 day
  2. 3.4%3 days
  3. 7.9%7 days
  4. 14.2%14 days
  5. 34.1%30 days
This job: posted 2 days ago

The posting

Roles and Responsibilities

  • Develop, maintain and enhance Python-based applications, ML services and AI solutions.
  • Design and implement scalable, reusable and production-ready software components using Python and open-source AI/ML frameworks.
  • Develop and deploy machine learning and deep learning models for real-world business use cases.
  • Work with Generative AI and Large Language Models (LLMs), including RAG, prompt engineering, model evaluation, fine-tuning and knowledge-based AI solutions.
  • Develop AI/ML pipelines for classification, regression, forecasting, NLP and other machine learning use cases.
  • Work with frameworks and libraries such as PyTorch, LangChain, LlamaIndex, Hugging Face, Scikit-learn, Pandas and Spark.
  • Design and implement RAG-based solutions and LLM applications using enterprise and customer-specific data.
  • Develop APIs and microservices for AI/ML solutions using technologies such as FastAPI.
  • Work with structured and unstructured data using RDBMS, NoSQL and distributed data-processing platforms.
  • Develop data processing and engineering pipelines using technologies such as Apache Spark / PySpark.
  • Build and maintain ML training, model evaluation and deployment pipelines.

Skills / Requirements

  • Strong hands-on experience with Python.
  • Good understanding of software engineering principles and development of scalable, reusable applications.
  • Experience with REST APIs and/or microservices, preferably using FastAPI.
  • Strong understanding of machine learning and deep learning concepts.
  • Hands-on experience with PyTorch and/or TensorFlow.
  • Experience with machine learning techniques including classification, regression, forecasting, NLP and deep learning.
  • Experience developing and deploying production-grade ML models.
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    The review screen in CV Rocket: how each CV was read, round by round.

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  4. Every reply, sorted

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    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
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Why it works

3×

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  • Who got the interview, and who heard nothing

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The numbers game

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