Analytics Data Scientist, AI

Photon; Hyderabad, Pune District, Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Photon is seeking an AI engineer to design, develop, and deploy large-scale ML models. You will collaborate with cross-functional teams to integrate AI solutions into existing systems and build open APIs for data retrieval and AI services.

The role requires 5–10 years of AI experience, strong Python skills, and familiarity with TensorFlow or PyTorch, plus experience with big data processing and distributed computing. On-site Hyderabad work is expected.

Qualifications

• 5-10 years of AI engineering experience or related field.
• Strong programming skills in Python and experience with DL frameworks (TensorFlow, PyTorch).
• Experience with large-scale projects, big data processing, and distributed architectures.

Responsibilities

• Design, develop, and deploy large-scale ML models using Python and deep learning.
• Collaborate with cross-functional teams to integrate AI into existing systems.
• Develop and maintain open APIs for data retrieval and AI services.
• Troubleshoot issues related to model performance, data quality, and integration.

Skills

Python programming

TensorFlow

PyTorch

APIs development

Distributed computing

Big data processing

Tools

Spark

Docker

Hadoop

Job description

Roles and Responsibilities :

• Design, develop, and deploy large-scale machine learning models using Python and deep learning techniques.
• Collaborate with cross-functional teams to integrate AI solutions into existing systems and applications.
• Develop and maintain open APIs for data retrieval, augmented generation, and other AI-related services.
• Troubleshoot complex issues related to model performance, data quality, and system integration.

Job Requirements :

• 5-10 years of experience in artificial intelligence engineering or a related field.
• Strong proficiency in programming languages such as Python and familiarity with deep learning frameworks like TensorFlow or PyTorch.
• Experience working on large-scale projects involving big data processing and distributed computing architectures.