Posted on: 08/04/2026
Description :
Role Overview :
The ideal candidate will have strong expertise in data science, algorithm development, and software engineering, with a passion for solving complex problems using cutting-edge technologies.
Key Responsibilities :
- Data Engineering : Preprocess, clean, and structure large datasets for model training and evaluation.
- Deployment & Integration : Implement ML models into production systems using scalable frameworks and APIs.
- Research & Innovation : Stay updated with the latest AI/ML trends and incorporate best practices into solutions.
- Performance Monitoring : Continuously monitor and improve model accuracy, efficiency, and robustness.
- Collaboration : Work closely with cross-functional teams including software engineers, product managers, and data analysts to deliver AI-driven features.
Required Skills & Qualifications :
- Strong proficiency in Python, TensorFlow, PyTorch, and ML libraries.
- Experience with data pipelines, feature engineering, and model deployment.
- Knowledge of cloud platforms (Azure, AWS, GCP) and containerisation (Docker, Kubernetes).
- Familiarity with MLOps practices and CI/CD pipelines.
- Excellent problem-solving and analytical skills.
Preferred Skills :
- Experience with deep learning, transformer models, and generative AI.
- Understanding of big data technologies (Spark, Hadoop).
- Exposure to AI ethics, bias mitigation, and responsible AI practices.
Why Join Us :
- Opportunity to work on cutting-edge AI/ML projects impacting global products.
- Collaborative and innovative work environment.
- Continuous learning and career growth opportunities.
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