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- Tasks: Develop and deploy AI/ML models for banking solutions, enhancing customer experiences.
- Company: VAM Systems, a leader in innovative tech solutions for the banking sector.
- Benefits: Competitive salary, professional training, and opportunities for career advancement.
- Why this job: Join a dynamic team and shape the future of banking with AI technology.
- Qualifications: 7-10 years experience in AI/ML, preferably in banking or financial services.
- Other info: On-site role in Bahrain with a focus on cutting-edge AI applications.
The predicted salary is between 48000 - 72000 £ per year.
VAM Systems is currently looking for AI/ML Specialists (Data Scientists/ ML Engineer) (On-Site) for our Bahrain operations with the following skillsets and terms & conditions:
- Years of Experience: 7 – 10 years
- Qualification: Bachelor’s Degree in Computer Science / Engineering, Preferably BE Computer Science & Engineering
- Professional Training Required: Machine Learning, Deep Learning, MLOps, AI in Financial Services.
- Professional Qualification Required: Google Professional ML Engineer, Microsoft AI Engineer Associate
- Professional Certifications Required: TensorFlow Developer Certificate, AWS Certified Machine Learning.
- Must-Have:
- Proven hands-on delivery experience in banking, financial institutions, or insurance within Gen AI solutions such as chatbots, document analysis, etc., leveraging RAG and robust architecture with proper governance and security measures.
- Several years of ML experience with implemented use cases.
- Hands-on work experience most of which in banking, financial institutions, or insurance industries.
- Ability to build and deploy ML models using Python and relevant libraries.
- Understanding of supervised and unsupervised learning algorithms.
- Experience with model evaluation and performance metrics.
- Familiarity with AI use cases in banking (e.g., fraud detection, personalisation).
- Knowledge of data preprocessing and feature engineering.
- Ability to work with cloud-based ML platforms (e.g., Azure ML, AWS SageMaker).
- Understanding of MLOps and model lifecycle management.
- Ability to communicate insights and build explainable AI models.
AI/ML Specialists (Data Scientists/ ML Engineer) - Banking employer: VAM Systems
Contact Detail:
VAM Systems Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI/ML Specialists (Data Scientists/ ML Engineer) - Banking
✨Tip Number 1
Network like a pro! Reach out to your connections in the banking and AI/ML space. Attend industry meetups or webinars to meet potential employers and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those relevant to banking. This can be a game-changer when it comes to impressing hiring managers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your hands-on experience with AI solutions and how you've tackled challenges in previous roles.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find the right opportunities that match your skills and experience. Plus, it shows you're serious about joining our team!
We think you need these skills to ace AI/ML Specialists (Data Scientists/ ML Engineer) - Banking
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the job description. Highlight your experience in banking and AI/ML, especially any hands-on delivery work you've done. We want to see how your skills match what we're looking for!
Showcase Relevant Projects: Include specific projects that demonstrate your expertise in ML and AI, particularly in financial services. If you've worked on chatbots or document analysis, let us know! We love seeing real-world applications of your skills.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read. We appreciate a well-structured application that gets straight to the good stuff!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at VAM Systems
✨Know Your Stuff
Make sure you brush up on your technical skills, especially in Machine Learning and AI applications in banking. Be ready to discuss specific projects you've worked on, particularly those involving chatbots or fraud detection, as these are hot topics in the industry.
✨Showcase Your Experience
Prepare to highlight your hands-on experience in financial institutions. Use concrete examples of how you've implemented ML models and the impact they had. This will demonstrate your practical knowledge and ability to deliver results.
✨Understand the Tools
Familiarise yourself with the tools and platforms mentioned in the job description, like Python, TensorFlow, and AWS SageMaker. Being able to discuss your experience with these technologies will show that you're not just a theoretical expert but also someone who can get things done.
✨Communicate Clearly
Practice explaining complex concepts in simple terms. You might be asked to explain your approach to model evaluation or MLOps. Clear communication is key, especially when discussing how your work can drive business value in banking.
