Senior AI/ML Engineer

Job Overview

Are you passionate about building real-world AI solutions and working with fast-moving global startups?
Were looking for AI/ML Engineers who can bridge the gap between theory and practical deployment engineers who are eager to build, deploy, and scale AI systems that power real-world products.
In this role, you'll gain hands-on exposure to applied AI, MLOps, and cloud deployment, while collaborating with international teams and contributing to innovative, high-impact projects across global tech ecosystems.

Key Responsibilities

• Design, build, and deploy production-grade AI/ML pipelines for real-world applications.
• Work with cloud platforms such as AWS, GCP, or Azure to implement scalable AI solutions.
• Apply MLOps practices including CI/CD, model versioning, and monitoring for continuous improvement.
• Collaborate with cross-functional teams in agile, fast-paced startup environments.
• Translate research and theoretical models into lightweight, practical AI solutions.
• Participate in rapid product iterations and contribute to proof-of-concept and MVP development.

Who Should Apply

• Senior software engineers 3-6 years of professional experience.
• Graduates in Computer Science, Engineering, or related fields
• Professionals already in AI/ML seeking global product and deployment exposure

Required Skills

• Strong programming foundation in Python, data structures, and algorithms
• Basic familiarity with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.)
• Understanding of cloud environments (AWS, GCP, Azure)
• Strong analytical and problem-solving skills
• Excellent written and verbal communication for effective remote collaboration

Preferred Attributes

• Passion for applying AI to solve real-world business problems.
• Curiosity to explore new tools, frameworks, and best practices.
• Ability to adapt quickly and thrive in fast-moving startup ecosystems
• A proactive, self-driven approach to learning and project ownership

Why Join

• Gain hands-on experience building and deploying AI systems for real-world use cases
• Work with global startup teams and mentors with Silicon Valley experience
• Develop practical skills in Applied AI, MLOps, and scalable cloud deployment
• Fast-track your growth toward international AI engineering roles