Data Scientist-Artificial Intelligence IBM Data Science & AI 08:15
Summary
Entry-level Data Scientist at IBM in Oman who helps design, build, and deploy AI/ML solutions end to end — from data collection and EDA through model training (TensorFlow/PyTorch, NLP, computer vision) to production deployment using MLOps tools and cloud platforms, working under senior data scientists and AI architects.
Job Title: Data Scientist-Artificial Intelligence
As a Data Scientist specializing in Artificial Intelligence, you will help design, build, and deploy AI and machine learning solutions that solve real business problems. As an entry-level team member, you will work under the guidance of senior data scientists and AI architects across the full project lifecycle.
Key Responsibilities:
- Take part in end-to-end AI and ML projects, from problem definition and data collection through model deployment and monitoring.
- Work with business stakeholders and subject matter experts to understand requirements and translate them into analytical problem statements.
- Collect, clean, explore, and preprocess structured and unstructured data from multiple sources.
- Perform exploratory data analysis (EDA) to uncover patterns, trends, anomalies, and relationships in data.
- Build, train, evaluate, and fine-tune machine learning and deep learning models for tasks such as classification, regression, clustering, natural language processing (NLP), and computer vision.
- Apply statistical analysis, hypothesis testing, and feature engineering to improve model performance.
- Help integrate and deploy models into production environments using MLOps tools and cloud platforms.
- Build dashboards and data visualizations to communicate findings and model results to technical and non-technical audiences.
- Document methodologies, experiments, model performance, and assumptions in a clear and reproducible way.
- Follow responsible AI principles, including fairness, transparency, explainability, and data privacy.
- Stay current with the latest AI research, tools, and techniques, and apply relevant advances to ongoing work.
- Work with cross-functional teams including engineers, architects, and business analysts, and report progress to the project lead.
Experience Required:
Entry-level team member.
Skills Required:
- TensorFlow
- PyTorch
- MLOps tools
- Statistical analysis
- Hypothesis testing
- Natural Language Processing (NLP)
Employment / Job Type:
Full Time
Nationality:
Any Nationality
About the Company:
IBM is a leading provider of enterprise cloud computing and artificial intelligence solutions. The corporation offers extensive IT infrastructure, software, and consulting services. It focuses on advancing hybrid cloud technologies and enterprise AI to help businesses optimize their global operations.
Company Industry:
IT
Department / Functional Area:
Data Science / AI
Closing Date:
Not mentioned (apply as soon as possible)