Data Scientist (Relocate Abroad)

Randstad (Schweiz) AG; Daerah Khusus Ibukota Jakarta; On-site; IDR 300.000.000 - 400.000.000; Full time

Job summary

A technology solutions provider is seeking an experienced Data Scientist in Bahrain. The ideal candidate will have at least 3 years of experience in AI and ML, along with strong skills in data analysis, cloud technologies, and programming. This full-time position offers the opportunity to work with cutting-edge technologies and play a key role in delivering high-quality AI solutions.

Qualifications

• Minimum 3 years of experience in AI or ML engineering.
• Proficient in AI/ML libraries and frameworks.
• Experience with cloud platforms.

Responsibilities

• Design and implement AI and machine learning models.
• Analyze data for training and fine-tuning models.
• Architect the cloud for AI solutions.
• Evaluate and fine-tune models for performance.
• Manage CI/CD pipelines.
• Lead and mentor team members.

Skills

Data analysis

Machine learning

Statistical modeling

Cloud technologies

CI/CD practices

Programming in Python

Education

Master's or Ph.D. in Computer Science, AI, or Machine Learning

Tools

TensorFlow

PyTorch

AWS

Azure

GCP

Job description

We're Hiring: Data Scientist!

We are seeking an analytical and innovative Data Scientist to join our team in Manama, Bahrain. The ideal candidate will possess a strong background in data analysis, machine learning, and statistical modeling to drive insights that inform strategic business decisions.

Position: Data Scientist
Location: Bahrain
Job Type: Full-time
Experience: Minimum 3 years in AI or ML engineering

Job Description:

ARRAY is currently seeking experienced and highly skilled Senior AI and ML Engineers with a strong background in cloud technologies and CI/CD practices to join our accomplished team. You will play a pivotal role in designing, developing, and maintaining high-quality AI and ML solutions for our esteemed clients. 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.

Key Responsibilities:

• AI & Machine Learning: Design and implement robust AI and machine learning models to solve complex problems. Collaborate seamlessly with cross-functional teams to integrate AI and machine learning solutions into our products.
• Data Analysis: Explore, clean, and analyze data for training and fine-tuning models. Innovate in data collection methods and integrate new data sources for improved model accuracy.
• Cloud Integration: Architect the cloud for AI and machine learning. Leverage cloud platforms for scalable and efficient model deployment. Implement and optimize AI algorithms in the cloud environment.
• Model Evaluation and Optimization: Evaluate and fine-tune models for optimal performance. Conduct thorough analysis to ensure models meet predefined criteria and business objectives.
• CI/CD Implementation: Manage continuous integration and deployment pipelines to ensure seamless software delivery.
• Code Quality and Review: Uphold high standards of code quality, lead code reviews, and foster team growth.
• Technical Leadership: Lead projects, mentor team members, and contribute to the technical direction of our solutions.
• Problem Solving: Troubleshoot and resolve technical challenges collaboratively.
• Documentation: Document code, design, and processes to maintain clear technical records.

Qualifications:

• Master's or Ph.D. in Computer Science, AI, Machine Learning, or related field.
• Minimum of 3 years of hands-on experience in developing and deploying AI and ML models.
• Proficient in AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch).
• Experience with cloud platforms (AWS, Azure, GCP).
• Strong programming skills in Python or R.
• Proven problem-solving skills using AI/ML techniques.
• Excellent communication and collaboration skills.

Additional Requirements:

• Proven track record of delivering software solutions on time and within budget.
• Ability to thrive in an Agile environment.
• Team player with strong interpersonal skills.
• Curiosity and adaptability to stay ahead of technological trends.

Good to Have:

• Cloud certifications in AI and ML.
• Experience in startup environments.
• Client-facing experience and understanding client needs in AI/ML solutions.