Senior AIML Engineer
Share
Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
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 youll 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
Key Skills
- APIs
- C/C++
- Computer Graphics
- Go
- React
- Redux
- Node.js
- AWS
- Library Services
- Assembly
- GraphQL
- High Voltage
