First National Bank IT / Telecom Jobs in Western Cape
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Job Description
We are seeking a skilled AI Practitioner/Data Scientist with a deep specialization in Generative AI and a robust background in data.
The ideal candidate will have hands-on experience in designing, developing, and deploying AI models with a focus on generative techniques.
This role demands a strong understanding of data engineering principles, making the candidate well-equipped to handle the data pipeline challenges inherent in AI and data projects.
GenAI Model Development:
- Design, implement, and optimize operational and analytical solutions utilizing Generative AI models.
- Develop and fine-tune RAG (Retrieval Augmented Generation) frameworks utilizing LLM frameworks such as LangChain, Llama-Index or other generative frameworks.
- Experiment with new architectures and techniques to push the boundaries of generative AI.
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Data Engineering:
- Collaborate with data engineering/analyst teams to ensure the availability and quality of data needed for model training and validation.
- Design and maintain scalable data pipelines to handle large volumes of structured and unstructured data.
- Perform ETL tasks with to create optimal data-warehousing structures (Dimensional modelling) for optimal storage, ease of use and maintainability.
- Integrate data from various sources and ensure its proper storage, transformation, and accessibility.
Deployment and Scaling:
- Deploy AI and generative AI models in production environments, ensuring they meet performance, scalability, and reliability requirements.
- Work with DevOps teams to automate the deployment and monitoring of AI models.
- Optimize model inference for performance and cost efficiency in cloud and on-premises environments.
Collaboration and Communication:
- Collaborate with cross-functional teams, including data scientists, engineers, product managers, and business stakeholders, to align AI solutions with business objectives.
- Communicate complex AI concepts and findings to non-technical stakeholders.
Continuous Learning and Innovation:
- Stay up to date with the latest advancements in Generative AI and data engineering.
- Participate in conferences, workshops, and other professional development opportunities.
- Contribute to research publications and patent filings in the field of Generative AI.
Requirements
- 3+ years of experience in AI, with a focus on Generative AI (1-2 years).
- Proven experience in data engineering, including data pipeline development, ETL processes, and database management.
- Hands-on experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and Generative AI frameworks.
- Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes).
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Technical Skills:
- Proficiency in programming languages such as Python, SQL, and familiarity with data manipulation libraries (e.g., Pandas, NumPy).
- Strong knowledge of machine learning algorithms, neural networks, and generative models.
- Experience with data storage solutions (e.g., Hadoop, Spark, Vector databases).
- Knowledge of MLOps practices, including model versioning, monitoring, and retraining
Soft Skills:
- A proactive attitude with a passion for learning and innovation.
- Excellent communication and teamwork abilities.
- Strong problem-solving and analytical skills.
- Preferred Qualifications and Certification
- Bachelor’s or master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
- Master's or Ph.D. is advantageous
- Any of the following certifications are highly advised:
- AWS Certified AI Practitioner
- AWS Certified Machine Learning
- GCP Professional Machine Learning Engineer
- GCP Associate Cloud Engineer
- Microsoft Azure AI engineer
- Microsoft Azure Data Science.
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