Artificial Intelligence Engineer

About Intellect Design Arena Limited

Intellect Design Arena Ltd is an enterprise-grade financial technology leader, providing composable and intelligent solutions for futuristic global financial institutions across 57 countries. Intellect’s revolutionary First Principles Thinking-based Enterprise Connected Intelligence Platform, eMACH.ai, is the most comprehensive, composable, and intelligent open finance platform in the world. With an impressive array of 329 microservices, 535 events, and over 1757 APIs, eMACH.ai enables financial institutions to design and deploy future-ready technology solutions that provide a significant global competitive edge.

With three decades of domain expertise, Intellect offers a full spectrum of banking and insurance technology products through four lines of business: Global Consumer Banking (iGCB), Global Transaction Banking (iGTB), IntellectAI and Digital Technology for Commerce (iDTC). Intellect is a pioneer in applying Design Thinking and our 8012 FinTech Design Center, the world's first Design Center dedicated to Design Thinking Principles, underscores our commitment to continuous and impactful innovation, addressing the ever-growing need for digital transformation. We proudly serve over 325+ customers worldwide, supported by a diverse workforce of solution architects and domain and technology experts in major global financial hubs. For more information about Intellect, visit https://www.intellectdesign.com/

AI / ML Engineer

Designation: AI / ML Engineer

Job Location: Gurgaon

Educational Qualification:

• B.Tech / M.Tech in Computer Science, AI, Data Science, or equivalent.

• Professional certification in machine learning or deep learning preferred.

• Research papers, case studies, or significant open-source contributions(are preferred)

Experience:

• 4–7 years of hands-on experience in developing and fine-tuning AI/ML models.

• Practical exposure to NLP, computer vision, or predictive analytics projects.

• Demonstrated experience in implementing AI solutions using open-source or cloud

frameworks.

Key Responsibilities:

1. Develop, train, and optimize AI/ML models for various use cases such as text

summarization, image matching, and speech recognition.

2. Implement feature engineering pipelines and data pre-processing modules.

3. Conduct experiments and document results to improve model accuracy and latency.

4. Collaborate with Data Scientists and Engineers to deploy AI models in production.

5. Perform error analysis and debugging to improve model stability.

6. Ensure model outputs comply with Responsible AI guardrails and data protection norms.

7. Support integration of AI components into existing government applications.

Technical Competencies:

• Programming Languages: Python, C++, R.

• Frameworks: PyTorch, TensorFlow, Keras, Hugging Face.

• Libraries: pandas, NumPy, OpenCV, spaCy, Transformers.

• Data Handling: SQL, NoSQL, data augmentation techniques.

• Cloud & Tools: Docker, SageMaker, MLflow, Git.

• Evaluation Metrics: F1, BLEU, ROUGE, AUC, precision-recall curves.