Premade Innovations

Job Description

About Company:

Premade Innovations: Expanding Markets with PRE-MADE Innovations
Growing Roots to your Businesses-
Premade Innovations is all about providing a business to grow with an utterly software-based solution. Premade Innovations is an Indian leading software company associated with Microsoft skilled professionals. With Premade’s assurance over its software products, its services and resources are competent and ample to satisfy business clients on a global approach. The enhanced products are planned and developed in a comprehensive manner to accelerate any business to rise high.
Premade Innovations’ Unique Selling Proposition that makes it superior to other giants in the industry is its unique Pre-Development of any product which could be utilized in the future. As the company’s name signifies PRE-MADE, the company is inclined to develop future products per the industry’s need. Premade Innovations focus on fast quality and employs the latest developmental techniques to furnish an enchanting experience to its clients.
Premade Innovations team remarks, ” We go to the roots of any business and find out the best possible solutions to the company’s current requirements. Based on the ROOT CAUSE, we develop our Software Products and provide ongoing maintenance on them.”
Enriching Team with Enriched Visions-
Premade’s core vision that drives the innovations at the company is “ZEAL of getting solutions for specific problems.” In the end, innovations created at the company turn into unique product evolution that has eventually enhanced the system. Premade Innovations has been built on various motivating factors to create a company and provide world-class software-based providers for millions of people, thousands of businesses.

Company Name: Premade Innovations.

Experience: Fresher.

Role: AI/ML Developer.

Job Location: Mumbai.

Eligibility Criteria:

• Qualification: BE/B.TECH(CS/IT),MCS,MCA.
• Pass out Year: 2024/2025/2026.
• Percentage Criteria: NA.
• Any Bond: No.
• Certification(If Any): No.

Package Details:

• Approx. PPO after Internship period: Upto Rs.3,00,000/- Per Annum. 

Roles and Responsibilities:

1. Develop, test, and maintain AI/ML applications and intelligent software solutions.
2. Build and integrate Generative AI and Large Language Model (LLM)-based applications.
3. Design and optimize prompts for AI-powered applications using prompt engineering techniques.
4. Collect, clean, preprocess, and analyze structured and unstructured datasets.
5. Train, evaluate, and improve machine learning and deep learning models.
6. Develop and integrate REST APIs for AI/ML applications.
7. Work with Python and AI/ML libraries such as Scikit-learn, TensorFlow, and PyTorch.
8. Integrate AI services and APIs such as OpenAI and Hugging Face into applications.
9. Perform data visualization and exploratory data analysis to generate insights.
10. Debug, optimize, and improve the performance of AI models and applications.
11. Collaborate with software developers, data analysts, and business teams to deliver AI solutions.
12. Use AI coding assistants such as ChatGPT, GitHub Copilot, Claude AI, and Gemini to enhance productivity.
13. Write clean, reusable, scalable, and well-documented code following best practices.
14. Participate in model testing, validation, and performance evaluation.
15. Assist in deploying AI models and supporting production environments.
16. Prepare technical documentation, reports, and project-related deliverables.
17. Participate in code reviews and technical discussions to improve solution quality.
18. Ensure data security, privacy, and ethical AI practices during development.
19. Stay updated with the latest trends in Artificial Intelligence, Machine Learning, and Generative AI.
20. Continuously learn new AI tools, frameworks, and technologies to enhance technical skills.

Skills Required:

1. Strong knowledge of Python programming.
2. Basic understanding of Machine Learning and Deep Learning concepts.
3. Knowledge of Generative AI and Large Language Models (LLMs).
4. Familiarity with Prompt Engineering techniques.
5. Experience with AI tools such as ChatGPT, GitHub Copilot, Claude AI, or Google Gemini.
6. Understanding of Scikit-learn, TensorFlow, or PyTorch.
7. Knowledge of Hugging Face and Transformer models.
8. Basic understanding of data preprocessing and feature engineering.
9. Familiarity with Pandas and NumPy for data analysis.
10. Basic knowledge of SQL and database concepts.
11. Understanding of REST APIs and API integration.
12. Basic knowledge of FastAPI or Flask.
13. Familiarity with Git and version control systems.
14. Strong analytical thinking and problem-solving skills.
15. Good understanding of data structures and algorithms.
16. Ability to debug and optimize AI/ML applications.
17. Basic knowledge of model evaluation and performance metrics.
18. Good communication and teamwork skills.
19. Eagerness to learn emerging AI technologies and frameworks.
20. Ability to work independently and deliver tasks within deadlines.