Senior Machine Learning Engineer 138363
Senior Machine Learning Engineer 138363
Posted on :
22-04-2025
Employer Active
1 Vacancy
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
22-04-2025
Job Description
Requisition Details & Talent Acquisition Specialist
REQ 138363 Keabetswe Modise
Closing Date: 30 April 2025
Job Family
Information Technology
Career Stream
Application Development
Leadership Pipeline
Manage Self Expert
Job Purpose
Lead the design development and implementation of cuttingedge analytic engines and services leveraging extensive experience and expertise in machine learning to develop and deploy scalable models optimize algorithms and drive datadriven decisionmaking.
Job Responsibilities
- Develop and maintain a machine learning platform ensuring it meets the needs of the community and stakeholders.
- Design and build robust inference systems such as APIs batch processing and realtime streaming to facilitate the deployment and utilization of machine learning models.
- Implement MLOps practices to streamline the deployment monitoring and management of machine learning models in production.
- Automate the endtoend machine learning pipeline from data ingestion to model deployment and monitoring.
- Ensure the scalability and reliability of the machine learning platform addressing performance bottlenecks and optimizing resource usage.
- Utilize big data technologies such as Spark Ray and Dask to handle largescale data processing and distributed computing.
- Leverage GPU acceleration to enhance the performance and efficiency of machine learning models particularly for deep learning tasks.
- Collaborate with crossfunctional teams to integrate machine learning solutions into existing systems and workflows.
- Contribute to the development and maintenance of documentation tutorials and guides for the machine learning platform.
- Engage with the data science community participating in discussions code reviews and contributions to foster collaboration and innovation.
- Spearheaded bestinclass statistical models and algorithms building upon previous experiences and learnings.
- Conduct indepth statistical analysis to extract valuable insights and patterns from complex datasets contributing to datadriven decisionmaking.
- Offer actionable insights and advice to stakeholders utilizing a solid foundation in AI/ML and contributing to the teams expertise.
- Contribute to the creation of value from enterprisewide data assisting in the translation of data into meaningful business solutions.
- Experienced in deploying or contributed to deployment of at least one endtoend data science solution that has yielded significant value in the organization at an enterprise level.
- Contribute to the shaping of the organizations AI/ML strategy aligning it with evolving business needs.
- Assist in transforming data science prototypes into scalable machine learning solutions for deployment.
- Collaborate with experienced team members to design dynamic ML models and systems incorporating the capability for adaptability and retraining.
- Participate in periodic evaluations of ML systems ensuring they align with corporate and IT strategies.
- Expert proficiency in programming tools (such as Python R etc. for data manipulation statistical analysis and machine learning tasks is essential.
- Demonstrate a profound command over computer science fundamentals encompassing expertlevel knowledge of data structures algorithms computability and complexity and computer architecture.
- Utilize machine learning algorithms and libraries effectively following established best practices and guidelines.
- Communicate technical concepts effectively to diverse audiences adapting explanations for nonprogramming experts.
- Stay informed about the latest tools and techniques engaging in continuous learning to enhance skills and knowledge.
- Proficiency in cloud computing and handson experience with deploying complex data science projects on cloud platforms.
- Collaborate with the team sharing ideas and insights while conducting experiments and researching best practices.
- Seek opportunities for personal growth and development actively participating in knowledgesharing and mentorship.
- Contribute to the achievement of the business strategy objectives and values contributing to the organizations success.
Essential Qualifications NQF Level
- Advanced Diplomas/National 1st Degrees
- Matric / Grade 12 / National Senior Certificate
Preferred Qualification
- STEM Qualification
- Engineering Computer Science Econometrics Mathematical Statistics Actuary Science
- Masters or Doctorate will be an added advantage
Preferred Certifications
- Cloud (Azure AWS) DEVOPS or Data engineering certification.
- Any Data Science certification will be an added advantage Coursera Udemy SAS Data Scientist certification Microsoft Data Scientist.
Minimum Experience Level
- MS/PhD in STEM or related technical discipline
- 7 years plusexperience in a data science or software engineering role.
- Deep knowledge of machine learning statistics optimization or related field.
- Knowledge of Graph Database technology will be a major advantage
- Excellent written and verbal communication skills along with strong desire to work in cross functional teams.
- Attitude to thrive in a fun fastpaced startup like environment
Technical / Professional Knowledge
- Data Mining
- Data analysis
- Statistical Analysis
- Supervised Learning
- Big Data Technologies
- Unsupervised Learning
- NLP
- Deep Learning
- Feature Engineering/Selection
- HyperParameter Tuning
- Programming
- Model Deployment/Monitoring
- MLOps
- API Development
- Inference Systems
- GPU Utilization
- Distributed Computing (Spark Ray Dask)
- Automation of ML Pipelines
- Scalability and Reliability Engineering
- Cloud Computing
- Documentation and Tutorials Development
- Graph Databases
- PostgreSQL Redis
Behavioural Competencies
- Decision Making
- Innovation
- Technical/Professional Knowledge and Skills
- Customer Focus
- Applied Learning
- Improvement Continuous Improvement
Please contact the Nedbank Recruiting Team at
Required Experience:
Senior IC
Employment Type
Full Time
Key Skills
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