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

Open nowFirst seen 35 hours ago

Data Ops/ML Engineer

Boardroom Appointments3,354 open roles

Where
Remote
Work mode
Remote
Get the CV for this job

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

Your applicationOpen nowData Ops/ML EngineerBoardroom Appointments · Remote

  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 Boardroom Appointments'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 35 hours ago

The posting

Contract Position

Remote position

Minimum Requirements:

  • Matric, with a degree in Computer Science, Business Informatics, Mathematics, Applied Statistics/Applied Mathematics Physics, or Data Engineering.
  • Certification in data, data science or artificial intelligence Experience/ Requirements
  • 3 to 5 + years of data engineering experience
  • 3 to 5 + years of Machine learning/ Artificial Intelligence and Statistical algorithm development.
  • 3+ years of experience with any data warehouse technical architectures, ETL/ELT, and reporting/analytics tools including, but not limited to, any of the following combinations (1) SSIS and SSRS, (2) SAS ETL Framework, (3) SAP ETL Framework, (4) MongoDB ETL deployments, (5) Apache Spark and Apache Hive deployments will be beneficial.
  • Working with large volumes of structured and unstructured data and leveraging them to build artificial intelligence (AI)/machine learning (ML) and predictive modelling (PM) solutions through end-to-end automated data pipelines.
  • Deep and Extensive AWS knowledge and skills: Glue, S3, Lambda, IAM, Cloudformation
  • The candidate having DBA ability and knowledge across at least 2 platforms (example: TSQL, SAS, PSQL, IBM VSAM and DB2 etc.) will also be beneficial.
  • Some experience with the Python programming language.
  • Experience with designing and implementing Cloud (AWS) solutions including use of APIs available.
  • Some experience with Dev/OPS architecture, implementation and operation would be advantageous.
  • Minimum bachelors degree in quantitative management (decision sciences) or Computer Science/Statistics/Applied Statistics/Applied Mathematics
  • Knowledge of Engineering and Operational Excellence using standard methodologies.
  • Best practices in software engineering, data management, data storage, data computing and distributed systems to solve business problems with data.
  • Some experience in applying SAFe/Scrum/Kanban methodologies would be advantageous.
  • Knowledge and understanding of business process management lifecycle which covers the design, modeling, execution, monitoring, and optimization as well as business process re-engineering.
  • Good problem-solving skills: The ability to exercise judgment in solving technical, operational, and organizational challenges, to identify issues proactively, to present solutions and options leading to resolution
  • Good programming, performance tuning and troubleshooting skills, using the latest popular programming languages such as Python, scala, java and suite of Microsoft languages C# and F# preferable

Responsibilities:

  • Undertake the processing of structured and unstructured data to utilize in data science activities.
  • Support the data analysis of large information to discover trends and patterns and provide feedback to the business.
  • Assist in designing and implementing scalable and robust processes for ingesting and transforming datasets.
  • Design, implement, and support the creation and maintenance of data pipelines from a multitude of sources.
  • Ingest large, complex data sets that meet functional and non-functional requirements.
  • Implement and train machine learning (ML), predictive analytics, data mining, and artificial intelligence (AI) models to perform predictions and forecast behavior and transactions, via the use of data, to enable the business to be proactive in decision-making.
  • Working with large volumes of structured and unstructured data and leveraging them to build artificial intelligence (AI)/machine learning (ML) and predictive modelling (PM) solutions through end-to-end automated data pipelines.
  • Enable the business to solve the problem of working with large volumes of data in diverse formats, and in doing so, enable innovative solutions.
  • Design and build bulk and delta data lift patterns for optimal extraction, transformation, and loading of data.
  • Supports the organisations cloud strategy and aligns to the data architecture and governance including the implementation of these data governance practices.
  • Engineer data in the appropriate formats for downstream customers, risk, and product analytics or enterprise applications.
  • Development of APIs for returning data to Enterprise Applications.
  • Assist in identifying, designing, and implementing robust process improvement activities to drive efficiency and automation for greater scalability.
  • This includes looking at new solutions and ways of working and being at the forefront of emerging technologies.
  • Work with various stakeholders across the organization to understand data requirements and apply technical knowledge of data management to solve key business problems.
  • Provide support in the operational environment with all relevant support teams for data services.
  • Create and maintain functional requirements and system specifications in support of data architecture and detailed design specifications for current and future designs.
  • Support test and deployment of new services and features.



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 Boardroom Appointments'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 Boardroom Appointments'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

    Boardroom Appointments'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.