Kickstart Your Journey as an AI Trainee Engineer – Software in Bangalore

AI Trainee Engineer – Software: A Promising Role in the Heart of Bangalore

Artificial Intelligence (AI) is revolutionizing industries across the globe, and Bangalore, often dubbed the Silicon Valley of India, stands at the forefront of this technological transformation. Companies are increasingly looking for skilled professionals who can navigate the complexities of AI and Machine Learning (ML). One such role that offers a gateway into this exciting field is the position of AI Trainee Engineer – Software.

Work Location: Bangalore

The role is based in Bangalore, a city known for its dynamic tech ecosystem and a hub for innovation. As an AI Trainee Engineer, you will have the opportunity to work in an environment that fosters creativity and cutting-edge research, surrounded by some of the brightest minds in the industry.

Desired Profile

The ideal candidates for this position are fresh graduates who have completed their B.E, B.Tech, M.E, or M.Tech degrees in 2021, 2022, 2023, or 2024. Specifically, candidates from Electronics and Communication Engineering (ECE), Computer Science (CS), or related streams are highly sought after.

Preferred Qualifications:

1. AI/ML Certification: Candidates who have undergone training and obtained certification in AI or ML from reputable institutions are given preference. However, the company is also open to candidates who are willing to enroll in a paid training program in these cutting-edge technologies.
2. Communication Skills: Effective communication is crucial, especially when collaborating with a global team. Candidates should demonstrate strong verbal and written communication abilities.
3. Learning Competency: AI is a rapidly evolving field, and the ability to quickly grasp new concepts and adapt to changing environments is essential. Candidates should be self-motivated and ready to work in a flexible and dynamic setting.
4. Programming Skills: A strong foundation in programming is a must, with proficiency in languages such as Python and C++ being particularly advantageous.
5. Fundamentals of Computers & Programming: A solid understanding of computer science basics and programming principles is essential for this role.

Job Specifications

As an AI Trainee Engineer, you will be immersed in a wide range of tasks that will hone your skills and prepare you for a successful career in AI and ML. Some of the key responsibilities include:

1. Python and C++ Programming: You will work extensively with Python and C++, two of the most widely used programming languages in AI development. These languages are essential for implementing AI algorithms and building robust software solutions.
2. AI Modeling: You will engage in AI modeling, a crucial aspect of developing intelligent systems. This involves creating models that can learn from data and make predictions or decisions based on that data.
3. Deep Learning (DL) Frameworks: You will work with popular DL frameworks such as PyTorch, Keras, TensorFlow, and Scikit-Learn. These frameworks are instrumental in developing neural networks and other complex AI models.
4. Generative AI (GenAI) Models: Generative AI models are at the cutting edge of AI research, enabling the creation of new content, such as images, music, and text. You will have the opportunity to work on these exciting technologies and explore their potential applications.
5. Python Libraries: Python’s extensive libraries, such as Numpy and Pandas, are invaluable tools for data manipulation and analysis. You will become proficient in using these libraries to handle large datasets and perform complex computations.
6. Machine Learning & Audio Processing Libraries: You will work with specialized ML and audio processing libraries, including Librosa, Kaldi, and Python Speech Features. These libraries are crucial for developing AI systems that can process and analyze audio data.
7. Signal Processing Fundamentals: A strong understanding of signal processing is essential for working on audio-related AI projects. You will learn the fundamentals of this field and apply them in your work.
8. Cloud Developer Toolchains: In today’s cloud-driven world, familiarity with cloud developer tools is a significant asset. You will work with toolchains from leading cloud providers like AWS and Microsoft Azure, gaining experience in deploying and managing AI solutions in the cloud.
9. Data Analytics Using BI Tools & Python: Data is the lifeblood of AI, and your role will involve analyzing large datasets using Business Intelligence (BI) tools and Python. This will enable you to extract valuable insights and contribute to data-driven decision-making.
10. Domain-Specific AI Projects: Depending on the project requirements, you will either work on AI applications related to audio, data, or vision. Each of these domains presents unique challenges and opportunities, allowing you to develop specialized expertise.

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Onsite Work After Training

Upon completing the training program, you must be prepared to work onsite at customer premises. This hands-on experience is invaluable, as it allows you to apply your skills in real-world scenarios, collaborate with clients, and understand the practical implications of AI solutions.

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