AI Engineering | Interns

Please Note: Please go through the questions asked in the end of job description, and share mail with your updated resume on Ninad.desle@pixelque.com

Applicants without answers won't be considered.

AI Engineering Intern

Location: PixelQue Software, Pune

Duration: Internship (Final-year Master's or Undergraduate Students)

Industry: Document Management & Quality Management System (Low-Code Platform)

• Internship Duration: 3 up to 6 months.
• Shift: 11 AM - 5 PM IST.
• Working from office (Pune): Full Time - Onsite.

About Us

PixelQue Software is a leading provider of document and quality management solutions, leveraging AI to enhance automation, efficiency, and user experience. We are looking for a passionate AI Engineering Intern to join our team and help develop cutting-edge AI features for our low-code platform.

Role & Responsibilities:

• Develop AI-powered features for our document management and quality management system.
• Work on deep learning, NLP, machine learning, generative AI, and LLMs to enhance platform capabilities.
• Implement and optimize AI models using PyTorch, TensorFlow, and TensorFlow.js.
• Deploy AI models in production environments, leveraging TensorFlow Serving, MLOps best practices, and cloud-based AI deployment.
• Optimize AI models, including hyperparameter tuning, performance enhancements, and real-time inference optimization.
• Work with Python, scikit-learn, pandas, NumPy, and other data science libraries.
• Gain hands-on experience with MLflow, Kubeflow, Neptune.ai, and other MLOps tools.
• Implement AI solutions into front-end and back-end systems (knowledge of Node.js, AngularJS, and JavaScript is a plus).
• Collaborate with the engineering team to integrate AI models into full-stack applications.
• Learn and implement PyTest for AI model testing to ensure reliability and performance.
• Follow the Software Development Life Cycle (SDLC) for AI feature development and deployment.

Requirements

• Final-year Master's or Undergraduate student in Computer Science, AI, Data Science, or a related field.
• Strong background in deep learning, NLP, machine learning, and generative AI.
• Hands-on experience with PyTorch and TensorFlow.
• Understanding of AI model deployment, MLOps, and cloud-based AI solutions.
• Knowledge of TensorFlow.js and TensorFlow Serving.
• Experience in AI model optimization, hyperparameter tuning, and inference acceleration.
• Proficiency in Python, scikit-learn, pandas, NumPy, and data science libraries.
• Exposure to MLflow, Kubeflow, and Neptune.ai is a plus.
• Understanding of frontend and backend development; knowledge of Node.js, AngularJS, and JavaScript is beneficial.
• Strong problem-solving skills and the ability to learn and apply new AI technologies quickly.
• Willingness to learn PyTest for AI model testing and validation.

Why Join Us?

• Work on real-world AI applications in a low-code platform.
• Gain hands-on experience in AI model deployment and optimization.
• Exposure to MLOps tools and best practices.
• Collaborative and innovative work environment.
• Opportunity to work with experienced engineers and build AI-powered features from scratch.

If you're a passionate AI enthusiast eager to develop cutting-edge AI solutions, apply now and be part of our innovative journey at PixelQue Software, Pune!

Please share answers and updated resume with us on ninad.desle@pixelque.com:

1. Are you currently in your final year of a Masters or Undergraduate program in Computer Science, AI, Data Science, or a related field?

2. Have you worked on any projects related to deep learning, NLP, machine learning, or generative AI?

3. Are you open to working full-time on-site in Pune (11 AM - 8 PM IST with flexibility based on needs and US time zone)?

4. Have you studied Python, scikit-learn, pandas, or NumPy as part of your coursework or projects?

5. Do you have knowledge of front-end or back-end development (e.g., Node.js, AngularJS, JavaScript)?

6. Are you willing to complete a basic technical test covering Python, Machine Learning, and NLP as part of the selection process before the interview?

7. We require immediate availability. What is your notice period (in days)?

8. What is your current annual salary (CTC)?

9. What is your expected annual salary (CTC)?

Please confirm that all your responses to our questions are accurate.