About the job AI Data Scientist
Job Summary:
We are seeking an innovative and analytical AI Data Scientist to join our team. The ideal candidate will design, build, and deploy machine learning and deep learning models to solve real-world problems using structured and unstructured data. Youll work closely with cross-functional teams to deliver intelligent systems that drive value and enhance decision-making.
Key Responsibilities:
- Design, develop, and implement advanced machine learning models and AI algorithms for business problems (e.g., NLP, computer vision, recommendation systems).
- Analyze large, complex datasets to extract actionable insights.
- Collaborate with data engineers and software developers to integrate AI models into production.
- Perform exploratory data analysis, feature engineering, and data cleaning.
- Continuously monitor and improve model performance.
- Communicate results and technical concepts to non-technical stakeholders.
- Stay up to date with the latest research and advancements in AI and ML.
Qualifications:
Required:
- Masters or Ph.D. in Computer Science, Data Science, Machine Learning, Mathematics, or related field.
- Strong experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Proficiency in programming languages such as Python, R, or Java.
- Experience with data visualization tools (e.g., Matplotlib, Seaborn, Plotly).
- Proficiency in SQL and data querying.
- Solid understanding of statistics, probability, and optimization techniques.
Preferred:
- Experience with cloud platforms (AWS, GCP, Azure).
- Familiarity with big data tools (e.g., Spark, Hadoop).
- Publications in peer-reviewed conferences or journals.
- Experience deploying models using MLOps practices and tools like Docker, Kubernetes, or MLflow.
Soft Skills:
- Strong analytical and problem-solving skills.
- Excellent communication and presentation abilities.
- Ability to work both independently and in a team.
- Eagerness to learn and stay on top of AI/ML trends.
What we offer:
Competitive Compensation: Enjoy a salary package tailored to your skills and
experience, along with performance-based bonuses.
Comprehensive Benefits: We support your well-being with accommodation, meal
allowances, and assistance with work visa processing.
Work-Life Balance: Unwind with generous holiday and New Year bonuses.
Top-Tier Equipment: Stay productive with the latest tools, including a MacBook and
iPhone.
Thriving Culture: Immerse yourself in a dynamic, inclusive work environment that
fosters growth.
Employee Support: Enjoy twice-yearly expense reimbursements for home visits.