Machine Learning Specialist

Leading cellular network company in Midrand seeks to employ 4x Female Senior Machine Learning Specialist. South African Citizens Only.

Your responsibilities:

- 3+ years of Machine Learning Engineering experience (hands-on).
- Strong understanding of Machine Learning algorithms and their foundational principles.
- 3+ years of experience deploying and operationalizing ML models, including CI/CD pipelines for models.
- Software Engineering experience (strongly preferred):

- Designing and implementing APIs for model serving.
- Building scalable, production-grade microservices to support AI/ML systems.
- Strong understanding of software development lifecycle (SDLC) and best practices.
- Proven ability to bridge gaps between Data Science and Software Engineering teams.
- Worked in an Agile environment, collaborating with cross-functional teams.
- Familiarity with cloud platforms (AWS, GCP, Azure) and tools for deploying AI systems.
- 1+ year of experience with Kubernetes/Docker for containerized model deployment is advantageous.
- Systems engineering experience or exposure is beneficial.
- A Bachelor's degree in STEM is required; a Master's degree or Ph.D. is highly advantageous.

Technical Competencies:

- Core Competencies:

- Proficiency in Python for building ML models and software systems.
- Strong experience with Git and CI/CD pipelines for model and software deployment.
- Knowledge of MLOps frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI) to operationalize and monitor ML models.
- Design and optimization of scalable ML systems, including feature engineering pipelines and real-time model inference.
- Knowledge of database systems (SQL and NoSQL) for data storage and feature serving.
- Solid understanding of containerization and orchestration tools like Docker and Kubernetes.
- Cloud and Platform Expertise:

- Experience working with cloud-native services for ML (e.g., AWS SageMaker, GCP Vertex AI, Azure ML).
- Understanding of distributed computing frameworks (e.g., Apache Spark, Dask) to handle large-scale data processing.
- Systems and Integration:

- Experience in integrating ML models into APIs and production systems.
- Strong understanding of system reliability, monitoring, and logging for production-grade AI systems.
- Advanced Skills:

- Knowledge of Feature Store platforms (e.g., Feast, Tecton) for operationalizing feature engineering.
- Hands-on experience with model monitoring and retraining pipelines to manage model drift and decay.

Ability to commute/relocate:

- Halfway House, Gauteng 1685: Reliably commute or planning to relocate before starting work (required)

Application Question(s):

- Do you have 5+ years of Python development experience?

**Education**:

- Doctorate (required)

**Language**:

- English (required)

Work Location: In person

Expected Start Date: 2025/04/01