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AI and MLOps Specialist

2 weeks ago

Johannesburg, Gauteng, South Africa DVT Full time

Welcome to DVT, a global custom software development and data engineering company with remote and hybrid options.

We strive to be South Africa's favourite custom software solutions & services company, with a global footprint.

You will have the opportunity to work alongside experienced developers using the latest technologies.

DVT is committed to continuously training our staff and we are proud of our culture of learning, from internal speaking and training to sponsoring technical events.

The key responsibilities for this role include designing and creating robust environments for machine learning experiments.

Additionally, you will develop, deploy and maintain scalable ML pipelines.

You will also implement and manage the end-to-end MLOps lifecycle, ensuring seamless integration and deployment of ML models.

This role requires extensive experience with cloud platforms and multicloud environments to optimize ML operations.

Technical Skills
  • Cloud Platforms: Proficiency with SageMaker and Azure ML Studio.
  • MLOps Tools: Experience with MLFlow, Prometheus, and Grafana.
  • Containerization & Orchestration: Strong skills in Docker and Kubernetes.
  • Programming: Advanced knowledge of Python.
  • Frameworks: Experience with Ray, FastAPI, and Flask.

In addition to these skills, familiarity with machine learning algorithms and frameworks such as TensorFlow or PyTorch is beneficial.

Key Responsibilities - AI Engineers
  • Design, develop and implement Retrieval-Augmented Generation applications.
  • Utilize frameworks such as CrewAI to build intelligent agent-based systems.
  • Apply strong software engineering principles to develop robust and scalable AI solutions.
  • Create and maintain AI pipelines using modern tools and frameworks.
  • Deploy and manage AI solutions on cloud platforms.
Technical Skills - AI Engineers
  • Programming: Proficiency in Python.
  • Web Frameworks: Experience with FastAPI and Flask.
  • AI Tools: Knowledge of LangChain, LlamaIndex, Chroma, Weaviate, and Qdrant.
  • Cloud Platforms: Experience with AI on Cloud, Bedrocks, and Azure AI Studio.
Qualifications
  • Experience: Proven experience with RAG applications and agent-based frameworks.
  • Software Engineering: A strong background in software engineering is required.
Interview Process
  • Recruiter call
  • Online Assessment / Take Home assessment
  • Technical Interview
  • Decision & Feedback