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Machine Learning Engineer Data Scientist
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Machine Learning Eng....
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Machine Learning Engineer Data Scientist

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1 Vacancy
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Jobs by Experience

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1-3years

Job Location

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Singapore - Singapore

Monthly Salary

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Not Disclosed

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Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Req ID : 2586849

About Slash

Slash is an Innovative Digital Solutions Build Studio and Recruitment Consultant for IT teams. Our recruitment consultants specialize in building remote or hybrid autonomous teams to help innovators develop software & digital products and launch hitech startups. We ve cracked the code in helping our highlyskilled global technology talent community connect with leading companies based on our experience in building and investing in our own startups and commercializing them through joint ventures in ASEAN and Europe.

Slash has headquarters in Singapore and communityoriented R&D hubs in Phnom Penh Yerevan Jakarta Bandung Yogyakarta and Bali and is building its hubs in the Philippines.

About our Client

It Is a leading financial data revolution by addressing the challenges businesses face in managing their financial data. Recognizing the complexity introduced by tools meant to simplify operations offers a unique solution to streamline financial data consolidation. Their platform rapidly becoming a crucial component of financial tech stacks globally provides realtime financial automation with flexibility and ease of use. Unlike other solutions enabling businesses accountants and developers to connect systems seamlessly creating automated workflows for sustained efficiency ultimately simplifying the management of financial data for companies of all sizes and industries.

We are seeking a highly skilled Machine Learning Engineer with expertise in Large Language Model (LLM) training and architecture. The ideal candidate should possess a strong background in natural language processing (NLP) deep learning and be wellversed in the development and deployment of Specialized Language Models (SLM) and Multimodal Models (MML). The successful candidate will play a pivotal role in advancing our cuttingedge language technology solutions.

Role and responsibilities and how will the role impact

  • LLM Development:

    • Design develop and optimize Large Language Models tailored to specific use cases.

    • Implement stateoftheart techniques for training and finetuning language models.

    • Stay abreast of the latest advancements in NLP and incorporate relevant innovations into model development.

  • SLM and MML Integration:

    • Collaborate with crossfunctional teams to integrate Specialized Language Models into various applications and domains.

    • Extend expertise to incorporate Multimodal Models for tasks involving text images and other modalities.

  • Model Evaluation and Optimization:

    • Perform thorough evaluation of language models addressing issues related to performance accuracy and efficiency.

    • Optimize models for deployment in resourceconstrained environments ensuring scalability and realtime processing capabilities.

  • Research and Innovation:

    • Engage in continuous research to enhance language model capabilities.

    • Explore and experiment with emerging techniques and architectures to push the boundaries of language understanding.

  • Collaboration and Communication:

    • Work closely with crossfunctional teams including data scientists software engineers and domain experts.

    • Clearly communicate complex technical concepts to both technical and nontechnical stakeholders.



Requirements

How do you know if you are a good fit

Qualifications:

  • Advanced degree (M.S. or Ph.D.) in Computer Science Machine Learning or a related field.
  • Proven experience in developing and deploying Large Language Models.
  • Strong programming skills in languages such as Python and proficiency with deep learning frameworks (e.g. TensorFlow PyTorch).
  • Familiarity with Specialized Language Models and Multimodal Models.
  • Excellent understanding of natural language processing and machine learning algorithms.
  • Experience with cloud computing platforms and distributed computing for largescale model training.
  • Strong problemsolving skills and ability to work in a dynamic and collaborative environment.

Preferred Skills/Qualifications:

  • Exposure to transfer learning techniques for language models.
  • Handson experience with SLM (Specialized Language Models) and MML (Multimodal Models).
  • Knowledge of domainspecific applications such as healthcare finance or legal for customizing language models.
  • If you are passionate about advancing language technology and have a proven track record in LLM development and deployment we invite you to apply and be a key contributor to our innovative projects


Benefits

What do we Offer

  • MarketLeading Compensation: We offer a competitive salary that is bench marked within the industry ensuring that employees are rewarded fairly for their skills experience and contributions.
  • Attractive Compensation Packages: Candidates can expect not only a base salary but also additional perks that contribute to a comprehensive package such as:
    Meal Allowance: Employees receive a meal allowance of $15 per day on the days they come to the office. This demonstrates a commitment to employee wellbeing and convenience.
    Full Medical and Hospitalization Insurance: The company provides comprehensive medical and hospitalization insurance ensuring that employees have access to healthcare coverage promoting their health and peace of mind.

  • Hybrid Flexible Work Arrangements: The company recognizes the importance of worklife balance and offers a hybrid work option allowing employees the flexibility to work both from the office and remotely.


Employment Type

Full Time

Company Industry

Banking / Financial Services / Broking

About Company

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