Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowFirst seen 32 hours ago

Machine Learning Engineer

Wizpresso8 open roles

Where
Hong Kong, Hong Kong SAR, Hong Kong
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowMachine Learning EngineerWizpresso · Hong Kong, Hong Kong SAR, Hong Kong

  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 Wizpresso'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.

11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: first seen 32 hours ago

The posting

About Wizpresso

(learn more at https://wizpresso.com)

Wizpresso is a Hong Kong-based technology company that transforms enterprise workflow and empowers financial markets stakeholders. We develop software underpinned by natural language processing (NLP) and deep learning to augment market intelligence, regulatory reporting, and knowledge management. We deliver value to users by removing communication barriers between participants, improving business growth, managing risks, and enhancing operational efficiency.

Our clients include global financial institutions, professional services firms, and enterprises. Wizpresso has earned numerous accolades, such as the HKMA/HKT Innovation Awards 2024 (Gold), APICTA 2023 AI of The Year Awards, Maker in China 2022 Champion, CUHK Corporate Innovation Index 2022, HKICT Grand Fintech Award 2021, EPIC 2021 Fintech Champion, and multiple IFTA Fintech Awards. If youre passionate about pioneering financial and regulatory technology and eager to build transformative SaaS products for professionals, Wizpresso is the place for you. Join our fast-growing, dynamic team and thrive in a culture celebrating data wizards and automation mavens!

  • We are obsessed with our customers.
  • Building a powerful yet simple and elegant product is engrained in our culture.
  • We value execution and outcomes over appearance and office politics.
  • We believe everyone has great ideas and unique strengths.

If you agree with the above values, we would love to meet you.

Job Brief

We are seeking a highly motivated and talented individual to join our team as a Junior Machine Learning Operations Engineer. In this role, you will play a crucial part in optimizing and maintaining our machine learning systems and infrastructure, ensuring seamless integration and deployment of models into production. You will work closely with cross-functional teams, including data scientists, software engineers, and DevOps professionals, to deliver scalable and reliable machine learning solutions.

Responsibilities:

  • Collaborate with data scientists and software engineers to deploy machine learning models into production environments.
  • Develop and maintain scalable infrastructure for training, testing, and deploying machine learning models.
  • Implement and manage continuous integration and continuous deployment (CI/CD) pipelines for machine learning projects.
  • Monitor and optimize machine learning systems to ensure performance, scalability, and reliability.
  • Troubleshoot and resolve issues related to model performance, data quality, and system stability.
  • Collaborate with DevOps teams to ensure smooth integration of machine learning systems with existing infrastructure.
  • Develop and maintain documentation related to machine learning infrastructure, processes, and best practices.
  • Stay up-to-date with the latest advancements in machine learning operations and identify opportunities for improvement within the organization.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Solid understanding of machine learning concepts and techniques.
  • Proficiency in programming languages such as Python and/or R.
  • Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
  • Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
  • Knowledge of version control systems, such as Git.
  • Strong problem-solving and troubleshooting skills.
  • Excellent communication and collaboration abilities.
  • Ability to work effectively in a fast-paced and dynamic environment.
  • Attention to detail and a commitment to delivering high-quality results.

Preferred Qualifications:

  • Experience with deploying machine learning models in production environments.
  • Knowledge of big data processing frameworks (e.g., Apache Spark, Hadoop).
  • Familiarity with data pipeline orchestration tools (e.g., Airflow, Luigi).
  • Understanding of software development methodologies (e.g., Agile, Scrum).
  • Experience with infrastructure-as-code tools (e.g., Terraform, Ansible).
From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Wizpresso's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Wizpresso's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Wizpresso's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.