Talent.com
AI / ML Engineer (CPT)

AI / ML Engineer (CPT)

DataFinCape Town, Western Cape, South Africa
30+ days ago
Job description

ENVIRONMENT

AN innovative Independent Asset Management Firm seeks to fill the critical role of an AI / ML Engineer who will design, develop, and deploy end-to-end AI / ML solutions and data pipelines that turn raw data into actionable insights, ensuring performance, scalability, and security. Working closely with cross-functional teams, you will help develop and deploy AI solutions, models and systems. Your role will involve researching, prototyping, and integrating cutting-edge AI technologies to solve complex business problems. Applicants will need 3+ years in AI / ML Engineering or Data Engineering roles, with end-to-end delivery with proficiency in Python, familiarity with Java or R. You will also be required to have a solid understanding of Machine Learning frameworks such as LangChain, PyTorch, Tensorflow or Hugging Face.

DUTIES

  • Transform requirements and build into AI solutions – Collaborate with Data Scientists, Software Engineers, and business stakeholders to define use cases and architecture for ML systems.
  • Design and develop integrations with AI / ML technologies and data sources to leverage solutions for use cases.
  • Work with AI / ML partners and internal teams to optimize and fine-tune AI models and use cases for performance, scalability, and accuracy.
  • Deploy AI models and use cases into production environments, ensuring stability, reliability, and security.
  • Monitor and evaluate the performance of deployed models and use cases, ensuring iterative improvements.
  • Collaborate with Software Engineers to integrate AI / ML capabilities into existing or new software systems.
  • Stay updated with the latest advancements in AI and Machine Learning research and apply relevant techniques to solve business challenges.
  • Document and communicate AI solutions, methodologies, and best practices to technical and non-technical stakeholders.

BUILD SCALABLE DATA PIPELINES

  • Design, implement, and maintain data ingestion, preprocessing, and feature-engineering workflows using Big Data frameworks (Spark, Hadoop) and SQL expertia.ai.

    • DEVELOP AND OPTIMIZE MODELS

  • Research, prototype, and productionize ML algorithms with Python and frameworks such as PyTorch, TensorFlow, LangChain, or Hugging Face.
  • Implement AI solutions using programming languages (such as Python) and Machine Learning frameworks (such as LangChain, PyTorch, Tensorflow or Hugging Face).
  • Support Data Scientists and other stakeholders with collecting, processing, and analysing datasets to train and validate AI models.

    • DEPLOY AND MONITOR IN THE CLOUD

  • Containerize and orchestrate workloads (Docker, Kubernetes) and deploy models on Azure ensuring reliability and cost efficiency.

    • ENSURE GOVERNANCE & SECURITY

  • Implement data quality checks, versioning, and security best practices throughout ML pipelines in line with InfoSec standards.

    • REQUIREMENTS

  • 3+ Years in AI / ML Engineering or Data Engineering roles, with end-to-end delivery.
  • Proficiency in Python; familiarity with Java or R.
  • Understanding of Machine Learning frameworks such as LangChain, PyTorch, Tensorflow or Hugging Face.
  • Experience with data preprocessing, feature engineering, and model evaluation techniques.
  • Familiarity with Big Data processing frameworks (such as Hadoop or Spark) and SQL.
  • Experience with Databricks and Mosaic.
  • Hands-on with cloud ML services (e.g., SageMaker, Azure ML) and CI / CD pipelines for model deployment.

    • ADVANTAGEOUS

  • Knowledge of cloud platforms (such as AWS, Azure, or Google Cloud) and experience with deploying AI models on cloud infrastructure.

    • ATTRIBUTES

  • Ability to adapt to a fast-paced, dynamic work environment and quickly learn new technologies and techniques.
  • Curiosity to learn about Artificial Intelligence, Machine Learning, Deep Learning concepts and data insights engines.
  • Strong problem-solving and analytical skills, with the ability to understand complex business requirements and translate them into AI solutions.
  • Able to explain complex technical concepts to both technical and non-technical audiences.

    • #J-18808-Ljbffr

    Create a job alert for this search

    Engineer • Cape Town, Western Cape, South Africa