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Paasionbits and Flexple Hiring Intern

Deep Learning Intern at Passionbits

Location: Remote
Pay: ₹25,000 – ₹35,000 per month + Performance Bonuses
Type: Internship (Actively Hiring)


About Passionbits

Passionbits is a fast-growing company empowering a community of 800+ creators and studios by enabling them to monetize their on-camera and behind-the-camera skills. The platform supports on-demand video content for enterprise marketers, helping creators build passive earnings.

Key Highlights:

  • Pre-seed funded startup.
  • Early revenue traction with significant growth potential.
  • Collaborative and innovative work environment with founding roles.

Role Description

As a Deep Learning Intern, you will work on cutting-edge AI models to enhance video ad creation and optimization. This is an excellent opportunity to gain hands-on experience in deep learning while contributing to the development of innovative solutions in the video content space.


Responsibilities

  1. Model Development:
    • Design, develop, and improve deep learning models for video generation and dynamic content creation.
  2. Research & Innovation:
    • Stay up-to-date with the latest advancements in deep learning and apply relevant techniques to enhance the platform.
  3. Data Processing:
    • Analyze and preprocess large datasets to train and validate models, ensuring high-quality outputs.
  4. System Integration:
    • Collaborate with the engineering team to integrate AI models seamlessly into the existing systems.
  5. Optimization:
    • Optimize model performance and scalability for efficient deployment and real-time processing.
  6. Collaboration:
    • Contribute to brainstorming sessions to develop new features and platform enhancements.
  7. Documentation:
    • Document processes, findings, and technical concepts, ensuring clarity in communication.

Qualifications

Academic Background:

  • Currently pursuing or recently completed a degree in Computer Science, Electrical Engineering, or a related field, focusing on machine learning and deep learning.

Technical Skills:

  • Strong understanding of deep learning concepts and frameworks like TensorFlow or PyTorch.
  • Proficiency in Python programming.
  • Familiarity with computer vision techniques and video processing tools.

Preferred Experience:

  • Hands-on experience with generative models like GANs or VAEs.
  • Knowledge of video editing and processing tools.
  • Prior internship or project experience in deep learning or AI development.

Soft Skills:

  • Strong problem-solving skills and attention to detail.
  • Ability to work independently and collaboratively within a team.
  • Excellent verbal and written communication skills.

Why Join Passionbits?

  • Growth Opportunity: Be part of a fast-growing startup and gain hands-on experience in deep learning applications.
  • Innovation: Work on cutting-edge AI and generative models for video content creation.
  • Impact: Directly contribute to developing tools that empower creators and enterprise marketers.
  • Compensation: Competitive stipend plus performance-based bonuses.

Would you like help preparing for this opportunity? I can assist with crafting your resume, highlighting relevant skills, or even preparing for technical interviews!

 

Click Here to Apply Deep Learning Intern at Passionbits

 

 

Job Title

Gen AI Engineer at Flixstock (Gurugram, Haryana, India)

Employment Type: Full-Time, Onsite
Salary Range: ₹20 LPA – ₹30 LPA


About Flixstock

FlixStock, headquartered in Singapore, leverages cutting-edge AI technology to revolutionize fashion brands and retailers’ processes by creating high-quality catalog images efficiently. Their comprehensive solutions enhance design, sampling, and imagery workflows, allowing businesses to enter the market faster and more cost-effectively.


Roles & Responsibilities

  1. AI Model Development:
    • Design, develop, and deploy AI models to improve FlixStock’s image cataloging and virtual sampling services.
  2. Cross-Team Collaboration:
    • Work closely with cross-functional teams to integrate AI solutions into the fashion supply chain seamlessly.
  3. Code Optimization:
    • Optimize Python code to enhance the efficiency and scalability of AI systems.
  4. Research & Innovation:
    • Stay updated on emerging AI/ML trends and conduct research to maintain a competitive edge in the industry.
  5. Algorithm Troubleshooting:
    • Troubleshoot and refine AI algorithms to boost system performance and accuracy.
  6. Solution Testing:
    • Design and test innovative AI-driven solutions for challenges in fashion and retail.
  7. Documentation:
    • Document AI systems, processes, and findings to facilitate knowledge sharing and continuous improvement.

Cultural Expectations

  • Team Collaboration: Actively contribute to a global and inclusive team environment.
  • Adaptability: Thrive in a fast-paced, dynamic workplace with evolving priorities.
  • Continuous Learning: Stay ahead of AI/ML advancements and foster professional growth.
  • Accountability: Deliver high-quality outputs within stipulated timelines.

Hiring Process

  1. Profile Shortlisting
  2. Assignment (hands-on test of technical skills)
  3. Technical Interview #1
  4. Technical Interview #2
  5. Founder/Leadership Interview

Why Join FlixStock?

  • Be part of a pioneering AI company transforming the fashion industry.
  • Competitive compensation of ₹20–30 LPA.
  • Opportunities to work on cutting-edge AI projects in a dynamic environment.
  • Gain hands-on exposure to innovative solutions for retail challenges.

Would you like help with tailoring your resume, preparing for interviews, or understanding the AI challenges in the fashion industry? Let me know how I can assist!

 

Click Here to Apply Flixstock Gen AI Engineer

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