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Data Scientist - Relocate Abroad
Talent Hunts Indonesia is an Executive Search Agency based in Jakarta, currently working with Software Services Company, who are looking for talent for their Data Scientist. This position will be responsible for Continuously evaluate model performance, tune hyperparameters, and improve accuracy based on real-world feedback. We are seeking individuals with a strong foundation in software engineering principles, a passion for technology, and a proven track record of successful project delivery.
- Location: Bahrain
- Job Type: Full-time
- Industry: Artificial Intelligence, Machine Learning, Software Development, Cloud Technology
Job Description:
- Design and deploy cutting-edge AI and ML models to address complex business challenges.
- Integrate AI-driven insights into software products and business processes.
- Clean, explore, and analyze structured and unstructured datasets to derive insights.
- Build and refine data pipelines for training, testing, and fine-tuning models.
- Leverage cloud platforms (AWS, Azure, GCP) for scalable model hosting and real-time inference.
- Architect solutions for efficient, secure, and reliable AI deployment in the cloud.
- Implement robust CI/CD pipelines for ML workflows, enabling seamless integration and frequent iteration.
- Ensure reliable and automated model updates, testing, and version control.
- Continuously evaluate model performance, tune hyperparameters, and improve accuracy based on real-world feedback.
- Maintain clean, modular, and well-documented code.
- Conduct peer code reviews to uphold quality and best practices.
- Mentor junior engineers, share technical knowledge, and lead by example.
- Actively contribute to technical decision-making and AI strategy development.
- Tackle complex AI problems using creative and analytical approaches.
- Collaborate with product and engineering teams to align AI solutions with business objectives.
Requirements:
- Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- 3+ years of proven hands-on experience building and deploying ML/AI models in production.
- Proficient in Python or R and ML libraries such as TensorFlow, PyTorch, Scikit-learn.
- Solid experience with cloud platforms (AWS, GCP, or Azure) for AI/ML deployment.
- Knowledge of data preprocessing, feature engineering, and model optimization.
- Experience integrating AI models into secure, enterprise-grade environments.
- Strong communication and collaboration skills, including client interaction.
- Proven track record of delivering high-impact AI solutions in Agile environments.
Preferred Qualifications (Nice to Have):
- Cloud certifications (AWS Machine Learning Specialty, Google Cloud ML Engineer, etc.).
- Experience working in startups or fast-paced innovation-driven environments.
- Exposure to client-facing roles and business problem translation.
- Experience in low-latency or real-time AI systems.