Machine Learning Engineer Internship

 Machine Learning Engineer Internship

1)  Novixpert Tech Inc. | Canada

Stipend per month

  • ₹ 10K - 17K

Duration

  • 3 months

Mode

  • 7-8 hours / day

Start Date

  • Immediate

Openings

  • 1

Office Location

  • Remote

Skills - Mandatory

  • Problem Solving
  • NodeJs
  • AWS

Skills - Optional

  • Image Processing
  • System design
  • C/C++
  • Machine Learning

Extra Benefits

  • Letter of Recommendation
  • Certificate
  • Flexible Hours

About Internship

Novixpert Tech Inc. is a leader in innovative technology solutions, pushing the boundaries of what’s possible with vision intelligence. Our team is dedicated to creating cutting-edge products that leverage the latest advancements in machine learning and edge computing. We are seeking a passionate and talented Machine Learning Engineering Intern to join our team and contribute to the development of edge-based software applications.

Job Overview:

As a Machine Learning Engineering Intern, you will work on developing software applications that interface with high-resolution cameras and manage machine learning models at the edge. You will write the orchestration layer to handle the deployment, management, and consumption of inference results. This role offers a unique opportunity to gain hands-on experience with edge computing and machine learning in a dynamic and supportive environment.

Key Responsibilities:

  1. Collaborate with senior machine learning engineers to understand project requirements and objectives.
  2. Develop and maintain edge-based software applications that connect with high-resolution cameras.
  3. Write and optimize the orchestration layer to manage machine learning models and inference results.
  4. Implement and test machine learning models in edge environments.
  5. Assist in the integration of machine learning solutions with hardware and software components.
  6. Conduct performance analysis and optimization of deployed models.
  7. Troubleshoot and resolve issues related to model deployment and inference.
  8. Document development processes, model configurations, and system updates.

Qualifications:

  1. Currently pursuing a degree in Computer Science, Electrical Engineering, Data Science, or a related field.
  2. Basic understanding of machine learning concepts and applications.
  3. Experience with programming languages such as Python, C++, or Java.
  4. Familiarity with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
  5. Knowledge of edge computing and IoT concepts.
  6. Strong problem-solving skills and attention to detail.
  7. Excellent communication and teamwork abilities.
  8. Eagerness to learn and adapt to new technologies and methodologies.

Preferred Qualifications:

  1. Experience with high-resolution cameras and image processing.
  2. Familiarity with containerization tools like Docker.
  3. Understanding of RESTful APIs and microservices architecture.
  4. Knowledge of edge computing platforms such as NVIDIA Jetson, or similar.

What We Offer:

  1. Hands-on experience with edge computing and machine learning applications.
  2. Mentorship from experienced professionals in the field.
  3. Opportunity to work on real-world projects and contribute to innovative solutions.
  4. Flexible working hours and a collaborative work environment.
  5. Potential for future full-time employment based on performance.

Want to Apply?

2) GrowthGear | Gurugram, India

Stipend per month

  • ₹ 10K - 12K

Duration

  • 3 months

Mode

  • 5-6 hours / day

Start Date

  • Immediate

Openings

  • 1

Job Offer

  • ₹ 4.5 LPA - 6 LPA

Office Location

  • Gurugram, India

Skills - Mandatory

  • Python
  • Django
  • AWS
  • Skills - Optional
  • NodeJs

Extra Benefits

  • Letter of Recommendation
  • Certificate
  • Job Offer

About Internship

Job Summary:
We are seeking a highly motivated and technically skilled Machine Learning Engineering Intern to join our dynamic team. The intern will contribute to the development of AI applications, with a focus on Retrieval-Augmented Generation (RAG) systems and exposure to Large Language Models (LLMs). This is an excellent opportunity to gain hands-on experience in a cutting-edge field and make a significant impact on our projects.

Responsibilities:

AI Application Development: Assist in the design, development, and deployment of AI applications.
Contribute to the development of RAG systems for enhancing the capabilities of AI models.

Model Training and Evaluation: Assist in training and fine-tuning Large Language Models (LLMs) using relevant datasets. Evaluate model performance and contribute to the optimization process.

Data Preparation and Preprocessing: Assist in data collection, cleaning, and preprocessing tasks.
Develop and maintain data pipelines to support model training and inference.

Collaboration and Documentation: Collaborate with the machine learning and engineering teams to integrate AI models into applications.
Document code, experiments, and results to ensure reproducibility and knowledge sharing.

Research and Development: Stay updated with the latest advancements in machine learning, RAG systems, and LLMs. Contribute to research projects and experimental setups to explore new ideas and techniques.

Qualifications:

Education:Currently pursuing a degree in Computer Science, Data Science, Machine Learning, or a related field.

Technical Skills: Proficiency in programming languages such as Python.
Experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
Familiarity with data processing tools and libraries (e.g., Pandas, NumPy).
Basic understanding of natural language processing (NLP) techniques.

Desirable Skills: Experience with RAG systems or similar retrieval-based methods.
Knowledge of Large Language Models (LLMs) and their applications.
Familiarity with cloud platforms (e.g., AWS, GCP, Azure).

Soft Skills: Strong problem-solving and analytical skills.
Excellent communication and teamwork abilities.
Ability to work independently and manage time effectively.

What We Offer:

  • A dynamic and innovative work environment.
  • Opportunities to work on cutting-edge AI projects.
  • Mentorship from experienced machine learning engineers and researchers.
  • Competitive compensation and potential for full-time employment upon successful completion of the internship.

Want to Apply?

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