Career

AI Research Engineer

AI Research Engineer

START YOUR JOURNEY

Technical Stack & Competencies

  • Deep Learning Frameworks: Extensive experience in architecting and training models using TensorFlow, PyTorch, and Keras.
  • Neural Architecture: Expertise in Computer Vision (OpenCV) and Natural Language Processing (Hugging Face) for building high-performance AI engines.
  • Predictive Intelligence: Developing custom AI solutions that bridge the gap between raw data and actionable growth.
  • Scalable Engineering: Ensuring that all AI models are designed for high-precision, large-scale enterprise deployment.
  • Research & Optimization: Continuous evaluation and fine-tuning of models using advanced libraries like Scikit-learn to maintain a competitive edge.

Core Expectations & Mission Values

  • Ownership & Accountability: You are responsible for the entire lifecycle of the AI product, from research to production-ready deployment.
  • Quality over Speed: We foster a culture where robust engineering and stable, long-term growth are the primary objectives.
  • Daily Learning: A commitment to staying at the forefront of AI research and applying new learnings to solve complex, real-world problems.
  • Visionary Impact: Join us in our mission of Building India’s Intelligence through ethical and transformative technology.

Important Guidelines for All Candidates:

  • Education: Open to candidates who have completed 10th, 12th, Graduation or post graduation .

  • Mindset: We look for individuals with a strong commitment to real-world problem solving and daily learning.

  • Location: Based in Bengaluru, Karnataka, India (In-office) to provide structured mentoring and guidance.

  • Cost: This is a 100% Free of Cost training and entry-level initiative.

  • Selection Rule: Selection is based on merit, preparedness, and interview performance. Availability of opportunities may vary each year.

START YOUR JOURNEY

WhatsApp