AI Engineer

TECHVIFY Corporation is an End to End AI-Powered Digital Transformation Partner.

At TECHVIFY, we don’t just build software.

We engineer breakthroughs.
We innovate with AI, craft with code, and scale with cloud.

We partner with startups, enterprises, and even competitors on a shared mission:
To turn bold ideas into real-world impact.

If you’re looking to lead digital transformation through intelligent software, we’re ready to build with you.

Let’s create the future – together.

• Design, develop, and maintain AI-powered applications with a strong focus on performance, scalability, and reliability.

• Collaborate with data scientists and engineers to integrate ML models into real-world products and services.

• Implement and optimize machine learning pipelines, including model training, serving, and monitoring.

• Build scalable, secure backend systems using Python or other relevant languages.

• Work with cloud platforms (Azure, AWS, GCP) for AI deployment, orchestration, and scaling.

• Participate in technical discussions with clients or presale activities to propose AI-based solutions.

• Conduct code reviews, mentor junior developers, and promote best practices in software and ML development.

• Stay updated with the latest AI/ML technologies, frameworks (e.g., TensorFlow, PyTorch, Hugging Face), and industry trends.

• Ensure adherence to data privacy and security standards when handling sensitive information.

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.

• 5+ years of experience in software development, with proven experience in building and deploying AI/ML solutions.

• Proficient in Python or other AI-relevant programming languages.

• Strong understanding of AI/ML fundamentals, including supervised learning, NLP, computer vision, deep learning, etc.

• Hands-on experience with modern AI frameworks (e.g., PyTorch, TensorFlow, Hugging Face Transformers).

• Solid communication skills in English — both verbal and written — are mandatory.

• Familiarity with at least one major cloud provider (Azure, AWS, or GCP); cloud deployment experience is a plus.

• Experience working in presales, technical proposal writing, or client-facing roles is a plus.

• Proficient in version control (Git), CI/CD workflows, and software engineering best practices.

• Exposure to MLOps practices and tools (e.g., MLflow, Kubeflow, SageMaker, Azure ML).

• Experience with data pipeline tools (e.g., Airflow, Spark, DataBricks).

• Experience working in Agile/Scrum environments.

• Salary: Upto 50M
• Join a global team and work directly with many talents around the world.
• Opportunities for onsite work in Japan, Singapore, Australia, and many other countries.
• Work and grow in a dynamic, creative, and professional environment.
• Healthcare: Premium Health Insurance TECHVIFY Care
• 13 months’ salary per year.
• Annual salary evaluation.
• Sponsor and encourage staff to study courses by covering tuition fees, such as Udemy, Coursera.