AI Engineer

CYGNUX SOFTTECH PVT. LTD.; Surat; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

CYGNUX SOFTTECH PVT. LTD. is seeking an AI Engineer to develop and deploy AI systems that solve real-world problems and deliver measurable impact. You will design production-ready ML pipelines and work with large datasets to train and validate models.

The role requires hands-on experience with Python, ML frameworks, and strong software engineering practices, including version control and independent problem solving.

Qualifications

• 1+ year hands-on AI engineering experience with shipped applications.
• End-to-end AI systems from research to deployment.
• Strong ML fundamentals and algorithms.
• Experience with Python and ML frameworks.
• Independent work and problem solving.
• Software engineering principles and version control.
• Debugging complex systems and optimizing performance.

Responsibilities

• Develop and deploy AI systems that solve real-world problems and deliver measurable impact.
• Design ML pipelines and models optimized for production environments.
• Work with large datasets to train, validate and improve AI systems.
• Integrate AI solutions into existing software infrastructure and applications.
• Collaborate with cross-functional teams to translate business requirements into technical AI implementations.

Skills

AI engineering

Python

ML frameworks

Version control

Deployment

Data handling

Problem solving

Job description

Batch: 2022/2023/2024/2025. About the role:

• - Develop and deploy artificial intelligence systems that solve real-world problems and deliver measurable impact
• - Design machine learning pipelines and models optimized for production environments
• - Work with large datasets to train, validate and improve AI systems
• - Integrate AI solutions into existing software infrastructure and applications
• - Collaborate with cross-functional teams to translate business requirements into technical AI implementations

What we're looking for:

• - Minimum 1 years of hands-on experience in AI engineering with shipped applications
• - Proficiency in building end-to-end AI systems from research through deployment
• - Strong understanding of machine learning fundamentals, algorithms and best practices
• - Experience with Python and common ML frameworks and libraries
• - Ability to work independently and manage technical problem-solving
• - Solid grasp of software engineering principles and version control
• - Comfortable debugging complex systems and optimizing performance