Generative AI Internships By Techolution
Generative AI Internships By Techolution
Techolution is a global AI solutions company specializing in building custom artificial intelligence products that deliver measurable enterprise impact. The company helps businesses transition AI innovations from research labs into real-world applications through its Govern Guide Control (GGC) framework and turnkey AI implementation model. The Generative AI Intern position is based in Hyderabad, India, under the AI Engineering department. This full-time internship offers hands-on exposure to real enterprise AI systems, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and generative model deployment. Interns will work on prototyping, experimenting, and deploying generative AI features using Python, deep learning frameworks, and cloud platforms while gaining ownership of impactful AI initiatives.
Documents Required
Applicants submit the following documents: Resume/CV Valid Email ID Mobile No. Study Mark Sheets Certificates (If you have) Cover letter (If applicable)
Eligibility Criteria
Applicants must meet the following criteria: The applicant should have strong proficiency in Python programming. The applicant should possess solid understanding of machine learning and deep learning fundamentals. The applicant should have knowledge of generative AI concepts including GANs, VAEs, Transformers, and Diffusion Models. The applicant should be familiar with data preprocessing, augmentation techniques, and version control systems such as Git. The applicant should demonstrate ownership, strong work ethics, ambition, and the ability to comprehend complex technical requirements. Knowledge of Large Language Models (LLMs), prompt engineering, fine-tuning techniques, cloud computing (AWS, GCP, Azure), MLOps principles, and RAG concepts will be an added advantage. Note: This internship is exclusively available in India. Specifically, available in Hyderabad.
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Responsibilities
Interns will: Develop and implement initial prototypes for generative AI models using Python and machine learning techniques. Design and experiment with novel generative architectures applying deep learning concepts. Prepare and refine datasets using preprocessing and augmentation techniques to ensure high-quality model training. Manage code repositories and track changes using Git for collaborative development. Work on enterprise AI systems including LLM orchestration and RAG-based applications. Take ownership of assigned tasks and proactively contribute to improving AI solutions. Collaborate with engineering teams to deploy scalable AI features in production environments.
How To Apply
Follow the below steps to apply for the program: 1. Visit Our Official Website. 2. Read carefully all the information about the program details. 3. Click on the "Register" to complete the registration with required details. 4. After successful registration, Use the received credentials to log into your account. 5. Once logged in, Click on the "Apply" button. 6. You will be directed to the application form. Fill in all the required details accurately. 7. Prepare the necessary documents as specified in the application requirements. 8. Upload these documents in the designated sections of the application form. 9. Before submitting, review all the information you have provided. 10. After that, Click on the "Submit” button to submit your application. Note: "As a free user," →'You're encouraged to share this valuable information with your friends to access the link properly'.
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Techolution is a global AI solutions company specializing in building custom artificial intelligence products that deliver measurable enterprise impact. The company helps businesses transition AI innovations from research labs into real-world applications through its Govern Guide Control (GGC) framework and turnkey AI implementation model. The Generative AI Intern position is based in Hyderabad, India, under the AI Engineering department. This full-time internship offers hands-on exposure to real enterprise AI systems, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and generative model deployment. Interns will work on prototyping, experimenting, and deploying generative AI features using Python, deep learning frameworks, and cloud platforms while gaining ownership of impactful AI initiatives.