Deep Learning Intern - Virtual Internship Opportunity

The Elitejob; India; À distance; INR 167 400 - 279 000; Temps partiel

Avantages offerts par ce poste

Mentorship from AI professionals

Flexible work environment

Certificate of Completion

Networking opportunities

Résumé du poste

A tech consultancy firm in India is looking for a passionate Deep Learning Intern for a remote internship opportunity. The role offers hands-on experience in designing and optimizing deep learning models, supporting projects within a collaborative virtual environment. Key qualifications include a degree in Computer Science or related fields, proficiency in Python, and deep learning frameworks such as TensorFlow and PyTorch. The internship provides mentorship, flexible hours, and real-world project involvement.

Qualifications

• Solid understanding of deep learning principles and neural network architectures.
• Strong analytical and problem-solving skills with attention to detail.
• Excellent verbal and written communication skills in English.

Responsabilités

• Assist in building, training, and validating deep learning models.
• Collaborate with AI and Data Science teams to implement AI solutions.
• Conduct research on deep learning techniques and propose improvements.

Connaissances

Deep learning principles

Python

TensorFlow

PyTorch

Analytical skills

Communication skills

Formation

Pursuing or completed degree in Computer Science or related field

Outils

NumPy

Pandas

Scikit-learn

AWS

Google Cloud

Azure

Description du poste

Job Summary

Houston Skilled Consultancy is seeking a passionate and driven Deep Learning Intern for a remote internship opportunity. As a Deep Learning Intern, you will work closely with our team of data scientists and AI specialists to design, develop, and optimize deep learning models for real‑world business applications. This internship offers a unique opportunity to gain hands‑on experience in artificial intelligence and machine learning projects within a collaborative virtual environment.

Key Responsibilities

• Assist in building, training, and validating deep learning models using frameworks such as TensorFlow, PyTorch, or Keras.
• Collaborate with the AI and Data Science teams to implement AI solutions across various projects.
• Conduct research on state‑of‑the‑art deep learning techniques and propose innovative ideas to improve model performance.
• Preprocess large datasets to prepare them for training and evaluation purposes.
• Participate in regular team meetings, project reviews, and brainstorming sessions.
• Document findings, project progress, and technical solutions in clear and organized reports.
• Support deployment and testing of AI models in production‑like environments.

Required Skills and Qualifications

• Currently pursuing or recently completed a degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field.
• Solid understanding of deep learning principles and neural network architectures (e.g., CNNs, RNNs, Transformers).
• Proficiency in Python and familiarity with libraries such as NumPy, Pandas, and Scikit‑learn.
• Basic knowledge of cloud platforms such as AWS, Google Cloud, or Azure is a plus.
• Strong analytical and problem‑solving skills with attention to detail.
• Excellent verbal and written communication skills in English.

Experience

• Prior academic or personal projects related to machine learning, deep learning, or AI development.
• Familiarity with research papers and open‑source contributions is an advantage but not mandatory.
• Previous internship or professional experience in a data‑driven role will be considered an asset.

Working Hours

• Flexible working hours with a commitment of 15-20 hours per week.
• Fully remote and asynchronous work environment with occasional scheduled team meetings.

Knowledge, Skills, and Abilities

• Strong curiosity and eagerness to learn cutting‑edge deep learning techniques.
• Ability to work independently and manage time effectively in a virtual setup.
• Strong collaboration skills to work effectively with cross‑functional teams.
• Understanding of version control systems (e.g., Git) is desirable.
• Critical thinking and creativity in problem‑solving.

Benefits

• Gain practical experience working on real‑world deep learning projects.
• Mentorship from experienced AI professionals and industry experts.
• Flexible remote work environment tailored to your schedule.
• Access to cutting‑edge AI tools, datasets, and cloud resources.
• Certificate of Completion and letter of recommendation upon successful internship completion.
• Networking opportunities with professionals in AI, data science, and technology sectors.

Why Join Houston Skilled Consultancy?

At Houston Skilled Consultancy, we are dedicated to fostering talent and innovation in the tech industry. Our culture emphasizes learning, collaboration, and growth. As a Deep Learning Intern, you will gain valuable experience contributing to impactful AI projects while receiving mentorship and guidance from experts in the field. Join us to accelerate your career and be part of a forward‑thinking organization committed to shaping the future of AI and machine learning.

How to Apply

If you are passionate about deep learning and eager to enhance your skills in a supportive and flexible environment, we would love to hear from you! Please submit your updated resume, a brief cover letter highlighting your interest and relevant experience, and any project portfolio or GitHub links to us.