VAM SYSTEMS
AI

AI/ML Specialists (Data Scientists/ ML Engineer)

VAM SYSTEMS · Manama, B13, BH

Actively hiring Posted 3 months ago

**Job Description

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 Licenses Required Not applicable.

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.

Experience required:

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, personalization) 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.

**Joining time frame: (15 - 30 days)

Tags & focus areas

Used for matching and alerts on DevFound
Fulltime Ai Ai Engineer Machine Learning Deep Learning Data Science Mlops Tensorflow Generative Ai
Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.