Data Scientist

Second Talent; Dubai; On-site; AED 150,000 - 250,000; Full time

Job summary

A leading company in the AI/ML space seeks an experienced Data Scientist to tackle complex challenges. In this full-time role, you'll work on innovative machine learning projects, collaborate with cross-functional teams, and leverage your expertise to optimize performance and model reliability in a fast-paced environment.

Benefits

Flexible work culture

Opportunities to work on high-impact projects

Collaborative multicultural team

Qualifications

• 3+ years of experience in AI/ML model building.
• Proficient in Python or R.
• Experience deploying models in cloud environments.

Responsibilities

• Design and deploy AI/ML models for business challenges.
• Analyze and clean data for training and validation.
• Conduct code reviews and mentor junior engineers.

Skills

Programming in Python

Machine Learning

Statistical Analysis

Cloud Deployment

Model Evaluation

Education

Masters or Ph.D. in Computer Science

Tools

TensorFlow

PyTorch

scikit-learn

Job description

Data Scientist (AI & ML)
Location: Bahrain
Employment Type: Full-Time
Industry: Artificial Intelligence / Machine Learning / Cloud Technology
Experience Level: Mid-Senior (Minimum 3 years)

About the Role

Were looking for a passionate and experienced Data Scientist with a strong background in AI/ML cloud platforms and continuous deployment practices. In this role youll help design and deliver cutting-edge machine learning solutions for real-world applications in a fast-moving high-impact environment.

Youll join a collaborative and innovation-driven team working on meaningful problems with global reach. If youre ready to turn data into intelligent action lead impactful projects and shape the future of AI this is your opportunity.

Key Responsibilities AI & Machine Learning Development

• Design build and deploy robust AI/ML models to solve complex business challenges

• Work closely with cross-functional teams to integrate models into production systems

• Continuously evaluate and refine models to optimize performance and reliability

Data Engineering & Analysis

• Clean analyze and transform raw data into usable training and validation sets

• Design data pipelines and identify new data sources to enhance model effectiveness

• Drive experimentation and hypothesis testing with statistical rigor

Cloud & DevOps Integration

• Deploy AI/ML models on cloud platforms (e.g. AWS Azure GCP)

• Optimize performance for scalability and real-time applications

• Implement CI/CD pipelines to streamline development and deployment workflows

Technical Leadership & Collaboration

• Conduct code reviews and mentor junior engineers

• Document system designs code and technical decisions for knowledge sharing

• Work in agile sprints and communicate progress with stakeholders

Qualifications

• Masters or Ph.D. in Computer Science AI Machine Learning Data Science or a related field

• Minimum 3 years of experience in building and deploying AI/ML models

• Proficient with Python or R and machine learning libraries such as TensorFlow PyTorch or scikit-learn

• Experience deploying models to cloud environments (AWS GCP Azure)

• Solid understanding of algorithms model evaluation and statistical principles

• Strong analytical thinking problem-solving and attention to detail

• Excellent communication and teamwork skills

Preferred / Nice to Have

• Cloud certifications (AWS Certified Machine Learning Azure AI Engineer etc.)

• Experience in startup or high-growth tech environments

• Prior involvement in client-facing roles or solution design for external stakeholders

• Familiarity with MLOps and model monitoring frameworks

What We Offer

• A fast-paced startup-inspired environment with a strong tech vision

• Opportunities to work on high-impact AI/ML projects across diverse industries

• A collaborative multicultural team that values growth and innovation

• Flexible work culture ownership of your projects and visibility across the business

Ready to push boundaries in AI and machine learning Apply now and help us build the future of intelligent systems.