PERMANENT CONTRACTabout 2 months ago

MLOps Engineer (Python SQL) (CPT)

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South Africa

Job Description

MLOps Engineer (Python SQL) (CPT) | Job Mail

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MLOps Engineer (Python SQL) (CPT)

Datafin

Saturday, 16 May 2026

1

IT/Computer - Development

Cape Town

FULL TIME

Job Specification

Company

Reference Number 26484

Job Summary

MLOps Engineer (Python & SQL) (CPT)

IT - Software Development Cape Town - Western Cape - South Africa

ENVIRONMENT:

DELIVER Data-Science value discover, build, train and deploy ML solutions that drive measurable value and impact as the next MLOps Engineer wanted by a reputable Independent Asset Management Firm. You will design the MLOps infrastructure that lets models move from notebook to production safely, quickly and cost-effectively. Providing thought leadership & radical innovation you will also challenge conventional approaches, champion out of the box thinking and push the team to explore bold, future focused ideas that keep the firm ahead of the curve. The successful incumbent will require 5+ years delivering commercially driven ML projects from concept to production, expert Python and solid SQL; modern development practices (Git, tests, code review, CI/CD) with hands-on experience designing and operating MLOps pipelines: containerisation (Docker/K8s), automated deployment, drift monitoring & retraining triggers.

DUTIES:

MLOps & Engineering -

Architect and automate end-to-end ML pipelines (CI/CD, testing, monitoring, retraining) in Azure, DataBricks or Mosaic.

Build feature stores, model registries and scalable batch/streaming data pipelines (BigQuery/Spark/Kafka/dbt).

Model Development -

Lead full-lifecycle ML projects ideation, experimentation, production and post-deployment monitoring.

Apply regression, classification, clustering, time-series forecasting and recommender systems to real-world retail problems.

Innovation -

Track emerging research (LLMs, ensemble methods, vector search) and run PoCs to keep the stack ahead of the curve.

Demonstrate thought leadership by challenging the status quo, encouraging radical, out-of-the-box thinking and inspiring the team to step outside their comfort zone.

Drive a culture of continuous experimentation and learning to unlock innovative solutions.

Stakeholder Engagement

Translate fuzzy business questions into data-science roadmaps, articulate complex concepts to non-technical partners.

Coach and mentor Analysts/Engineers, promoting best-practice coding and MLOps approaches.

Governance & Efficiency

Embed security, cost-optimisation and observability into everything you build.

Define operating procedures, documentation and design patterns that future-proof the platform.

REQUIREMENTS:

5+ Years delivering commercially driven ML projects from concept to production.

Expert Python and solid SQL; modern development practices (Git, tests, code review, CI/CD).

Hands-on design and operation of MLOps pipelines: containerisation (Docker/K8s), automated deployment, drift monitoring, retraining triggers.

Strong grasp of data-warehousing and modelling concepts; comfortable collaborating with Data Engineering on ETL and architecture.

Familiarity with Deep-Learning frameworks (TensorFlow/PyTorch) and vector databases.

ATTRIBUTES:

Passion for upskilling others and shaping Data-Science culture.

Excellent communication and collaboration skills to work effectively in cross-functional teams.

The ability to build and maintain meaningful relationships.

A strong belief in doing the right thing.

Driven by results.

Ability to recognise and embrace change.

Intellectual curiosity.

Able to analyse, interpret and assimilate information.

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Job Details

  • Country : Afrique du Sud

  • Contract Type : Permanent Contract

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Expert Application Advice

Technical proficiency — Apply Now expects hands-on mastery of Python, SQL. Don't just list them: describe a concrete project where you used them and the outcome delivered.

Positioning — Your cover letter must answer one question: why YOU for THIS specific role right NOW? Avoid generic templates — one sentence on what you specifically bring beats three generic paragraphs.

Field competencies — Detail your on-site experience: conditions managed, equipment mastered, safety standards applied. A portfolio of technical drawings/reports concretely proves your skills.

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