Data Scientist

Careers InitiateFirst; Bengaluru; On-site; INR 2,400,000 - 4,800,000; Full time

Job summary

Careers InitiateFirst is seeking a senior data science leader with 10+ years in the field. The role focuses on building and owning AI/ML platforms, leveraging Python and frameworks such as TensorFlow, PyTorch, and OpenCV. Expertise in generative models and computer vision is essential for driving RAG-enabled applications.

The ideal candidate will work across cloud-native AI environments (Azure/AWS/GCP), implement robust MLOps practices, and contribute to open-source and research contributions.

Qualifications

• 10+ years of overall experience.
• 5+ years in data science, ML or AI with project ownership.
• Proficiency in Python and frameworks like TensorFlow, PyTorch, OpenCV, scikit-learn.
• Strong background in generative models (LLMs, GANs, VAEs).
• Expertise in computer vision: object detection, image classification, segmentation.
• Experience using orchestration tools for agentic AI systems.
• Hands-on with Azure AI services and data handling.
• Solid understanding of MLOps: CI/CD, version control, model registry, monitoring.
• Experience in cloud-native AI environments (Azure, AWS, GCP).
• Exposure to vector search, knowledge graphs, RAG.
• Publications, patents, or open-source contributions.

Skills

Data science

Machine learning

Python

TensorFlow

PyTorch

OpenCV

scikit-learn

Generative models

LLMs

GANs

VAEs

Computer vision

MLOps

Azure AI

Cloud platforms

Vector search

Education

Bachelor's degree in computer science, engineering, or a related field

Tools

Azure ML

Azure OpenAI

Azure Cognitive Services

Job description

Requirements

• Experience: 10+ Years
• 5+ years of experience in data science, ML, or AI, with demonstrated project ownership.
• Proficiency in Python and frameworks like TensorFlow, PyTorch, OpenCV, scikit-learn, etc.
• Strong background in generative models (e.g., LLMs, GANs, VAEs) and foundational ML techniques.
• Expertise in computer vision, including object detection, image classification, and segmentation.
• Experience in implementing agentic AI systems using modern orchestration tools and frameworks.
• Hands-on experience with Azure AI services (e.g., Azure ML, Cognitive Services, Azure OpenAI, Azure Blob for data handling).
• Solid understanding of MLOps practices (CI/CD, version control, model registry, monitoring).
• Strong analytical, problem-solving, and communication skills.
• Experience working in cloud-native AI environments (Azure, AWS, or GCP).
• Exposure to vector search engines, knowledge graphs, and retrieval-augmented generation (RAG).
• Publications, patents, or active participation in AI communities or open-source contributions

Qualification

Bachelor’s degree in computer science, Engineering, or a related field