AI Engineer

Open
Cerebraix Technologies

Cerebraix Technologies

Job Location
Bangalore
Start Date
2/18/2026
Total Experience (yrs)
5-8 Year
CTC (p.a.)
₹1140000 - ₹1200000
Mandatory Skills
AI Models (5-8 Year)Any cloud (5-8 Year)data manipulation (Panda and Numpy) (5-8 Year)Docker (5-8 Year)GenAI frameworks (5-8 Year)LLM fundamentals & basic ML/NLP (5-8 Year)Python (5-8 Year)
Role/Job Description

Project Highlights

  • Prestigious Client / Project: This project involves working on a prestigious, highimpact digital transformation initiative focused on building next-generation AIdriven systems.
  • Revolutionizing Technologies: The platform leverages technologies in ML and AI to deliver scalable, data-driven solutions that solve complex real-world problems across analytics, automation, and intelligent decision-making.
  • Agile Development: Development and delivery are driven through Agile methodologies, ensuring iterative enhancements, seamless integration into client ecosystems, and faster time-to-market for high-value CX use cases.

Roles and Responsibilities

  • Design, develop, and optimize AI and ML models using Python, Java, or C++.
  • Implement ML solutions using frameworks such as TensorFlow, PyTorch, and Scikit-learn.
  • Perform data analysis and feature engineering using Pandas, NumPy, and related libraries.
  • Apply strong knowledge of algorithms, data structures, and complexity analysis to build efficient systems.
  • Deploy and manage ML models in production using Docker, Kubernetes, and cloud platforms (AWS/Azure/GCP).
  • Collaborate with DevOps teams to ensure scalable, secure, and reliable model deployment.
  • Work with SQL and NoSQL databases for data storage, retrieval, and analytics.
  • Participate actively in Agile ceremonies (sprint planning, stand-ups, reviews, retrospectives).
  • Contribute to code reviews, technical discussions, and continuous improvement initiatives.
  • Communicate technical concepts effectively to cross-functional and non-technical stakeholder

Requirements

  • 4+ years of professional experience in software development with a strong focus on AI/ML projects.
  • Proficiency in Python.
  • Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Strong expertise in data manipulation and analysis using Pandas and NumPy.
  • Solid understanding of algorithms, data structures, and system performance optimization.
  • Experience with model deployment and MLOps practices using Docker, Kubernetes, and cloud platforms.
  • Proficient in Git for version control and collaborative development.
  • Working knowledge of SQL and NoSQL databases.


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