Highlights
Work on cutting-edge telecom networks, collaborate with top-tier engineers, learn from experienced professionals.
Description
Job Summary
pWe are seeking a passionate and motivated Software Engineer (Machine Learning) Intern to join our product engineering team. The ideal candidate will have strong proficiency in Python programming, ML algorithms, and cloud-native microservices development.
Responsibilities
- Design, develop, and deploy AI/ML microservices using Python and machine learning algorithms in a cloud-native environment.
- Build scalable data pipelines for training, tuning, and serving ML models in production.
Required Skills
- Python programming
- Machine learning algorithms
- NoSQL databases
- Messaging systems
- Cloud-native development
Required Skills Explained
- Strong programming expertise in Python, which is essential for developing and deploying AI/ML microservices.
- Knowledge of core ML algorithms such as Linear Regression, Logistic Regression, Decision Trees, Random Forests, SVM, KMeans, PCA, etc., to effectively train and optimize models.
- Exposure to Deep Learning frameworks like TensorFlow or PyTorch for building more complex neural networks.
- Experience with data manipulation libraries such as Scikit-learn, Pandas, and NumPy to handle large datasets efficiently.
- Understanding of cloud-native microservices development on platforms like AWS, Azure, or GCP, which is crucial for scaling machine learning applications.
- Familiarity with NoSQL databases like MongoDB or ElasticSearch for handling unstructured data, and understanding of messaging systems such as Kafka or RabbitMQ for real-time communication.
- Knowledge of containerization tools like Docker and orchestration platforms like Kubernetes to manage and deploy microservices effectively.
- Familiarity with Git, CI/CD pipelines, and Agile development methodologies to streamline the software development lifecycle.
Who is this for
pFresh graduates with a strong background in software engineering, particularly those interested in AI and machine learning. Candidates should have experience in Python programming and an understanding of cloud-native microservices development.
Why This Job is a Good Opportunity
ulliOpportunity to work at a leading global corporation that has been serving the telecommunications industry for over 85 years.liPotential to contribute to cutting-edge projects in machine learning and artificial intelligence within telecom networks.liCollaboration with data scientists, cloud engineers, and product teams to build innovative solutions.liHands-on experience working on scalable systems that impact large-scale telecom operations.
Interview Preparation Tips
- Prepare examples of Python projects or machine learning models you have developed in the past.
- Review core ML algorithms and be ready to discuss their applications.
- Study Deep Learning frameworks like TensorFlow or PyTorch, focusing on hands-on experience if possible.
- Browse through cloud-native microservices documentation for platforms like AWS, Azure, or GCP.
- Practice using NoSQL databases and messaging systems such as MongoDB, ElasticSearch, Kafka, or RabbitMQ.
- Get familiar with containerization tools like Docker and orchestration platforms like Kubernetes.
- Brush up on Git best practices and CI/CD pipeline concepts to demonstrate your understanding of modern development methodologies.
Career Growth in This Role
pThe role offers a solid foundation for a career in machine learning and AI. As you gain experience, you can explore advanced topics such as reinforcement learning or natural language processing. Networking within the company can lead to opportunities in senior data scientist roles or management positions. Continuous exposure to new technologies and projects will help you stay updated with industry trends and innovations.
Explore More Opportunities
Skills
Frequently Asked Questions
What is the duration of this internship?The internship typically lasts for a minimum of 6 months.
Do I need to relocate for this role?Relocation is not supported for this position.
What kind of support will I get during the internship?You will be provided with mentorship, training, and regular feedback from experienced engineers.
