Required Qualifications

5+ years of full stack software engineering experience.

2+ years of hands-on AI/ML implementation in production environments.

Strong proficiency in:

o Python (FastAPI, Flask, or Django)

o Java Script/Type Script (React, Angular, or Vue)

o REST API development

Experience with ML frameworks (e.g., scikit-learn, PyTorch, Tensor Flow, or equivalent).

Experience deploying AI workloads in cloud environments (Azure ML, Sage Maker, Vertex AI, etc.).

Experience with relational and NoSQL databases.

Solid understanding of software engineering principles and design patterns.

Experience with Docker and container orchestration (Kubernetes preferred).

Knowledge of secure coding practices and enterprise security standards.

Preferred Qualifications

Experience with enterprise AI governance and responsible AI frameworks.





Experience with MLOps and model monitoring tools.

Knowledge of distributed systems and event-driven architectures.

Experience with vector databases and semantic search (if applicable to organization).

Experience in regulated industries (financial services, healthcare, public sector).

Experience working in Agile/Scrum teams.

Key Competencies

Strong problem-solving and analytical skills.

Ability to translate complex AI concepts into scalable technical solutions.

Excellent communication and stakeholder engagement skills.

Ownership mindset with the ability to operate independently.

Strong attention to performance, security, and maintainability.

📌 AI Engineer (Preferred Years of Experience - 8 years) (India)
🏢 Objectwin Technology India
📍 India