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Senior Data Scientist
Remuneration: | basic salary |
Location: | Port Elizabeth |
Education level: | Diploma |
Job level: | Senior |
Type: | Permanent |
Reference: | #NG59773 |
Company: | e-Merge IT Recruitment |
Join a company filled with like-minded individuals who deliver quality solution delivery services and prioritize flexibility in work arrangements, embracing both remote and hybrid models to cater to our staff's preferences as a senior data scientist you will be responsible for developing, deploying, and maintaining advanced AI and Machine Learning models.
**This is an initial six-month contract, with the potential to transition into a permanent role afterwards directly with our client. **
Main Responsibilities:
- Lead the design and development of advanced AI and Machine Learning models to solve complex business challenges.
- Work closely with data scientists and engineers to ensure smooth integration and deployment of AI solutions.
- Collaborate with cross-functional teams to align AI solutions with business goals and customer needs.
- Analyse large datasets to uncover trends and build predictive models.
- Mentor and guide junior data scientists, promoting best practices in AI and machine learning.
- Apply Large Language Models (LLMs) and Transformer-based architectures (such as BERT, RoBERTa, GPT-3, etc.) to enhance product development.
- Build and refine AI features to support business strategies and growth.
- Automation of controls in the business processes.
- 5-8 years of experience as a Data Scientist with expertise in Machine Learning and AI technologies.
- Proficient in Python and experienced with deep learning frameworks such as TensorFlow, PyTorch.
- Hands-on experience with machine learning algorithms, including gradient boosting, deep learning, and random forests.
- Expertise in working with Large Language Models and Transformer-based architectures (e.g., BERT, GPT, etc.).
- Experience with distributed computing frameworks like Hadoop or Spark.
- Proven experience mentoring and leading junior data scientists.
- Knowledge of cloud platforms such as AWS, Azure, or Google Cloud.
- Experience with Microsoft SQL and the Microsoft BI technology stack (SSIS, SSAS, SSRS, Power BI) (advantageous)
- Exposure to financial services, legal industries, or business analytics. (advantageous)
- Strong knowledge of data warehousing, ETL processes, and advanced data analysis.
Are you ready for a change of scenery? E-Merge IT recruitment is a niche recruitment agency. We offer our candidates options so that we can successfully place the right people with the right companies, in the right roles. Check out the E-Merge IT website www.e-merge.co.za for more great positions.
Do you have a friend who is a developer or technology specialist? We pay cash for successful referrals!
Posted on 29 Oct 12:53, Closing date 28 Dec
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