Responsibilities: 

• Assist in building and improving machine learning models for various applications.

• Work with datasets, cleaning, preprocessing, and transforming data to train models.

• Implement SOTA deep learning algorithms to solve various Computer vision problems.

• Collaborate with senior engineers and data scientists to optimize model performance and deploy the model as an endpoint or batch job.

• Conduct experiments and analyze the performance of models using open source datasets and benchmark on Airbus specific data.

• Create data visualizations and reports to communicate insights and results effectively.

• Contribute to the development of machine learning pipelines with MLOps capabilities (experiment tracking, model/data versioning etc).

Qualification: 

• Currently pursuing a degree in Computer Science, Data Science, Mathematics, Engineering, or related fields.

Required Skills:

• Understanding of machine learning algorithms and techniques (e.g., supervised, unsupervised learning, deep learning).

• Proficiency in Python programming language.

• Familiarity with machine learning libraries and frameworks like TensorFlow, Keras, PyTorch, scikit-learn, etc.

• Knowledge on Computer Vision concepts

• Experienced with Miniforge, VSCode, Git, etc on Windows and Linux.

• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud is preferable.

• Knowledge of version control tools like Git.

• Familiarity with SQL and working with databases.

• Exposure to basics of devops (e.g., using Docker, Kubernetes) is a plus.

• Strong communication skills and collaboration with team members.

What We Offer:

• Real-world experience working on machine learning projects.

• Mentorship and learning opportunities from experienced engineers and data scientists.

• Access to cutting-edge tools and technologies in machine learning.

• Collaborative and supportive work environment.

• Opportunity to grow your career in the tech industry.

This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.

Company:

Airbus India Private Limited

Employment Type:

Internship

-------

Experience Level:

Student