Company Overview
Website:
About:
At ProtoBoost.ai, we believe every innovative product begins with a visionary idea-and the right technology to bring that idea to life swiftly. Our platform empowers entrepreneurs, product teams, and innovators to transform raw ideas into tangible prototypes in record time. By harnessing the power of artificial intelligence, we eliminate friction and guesswork from early-stage development, enabling our users to iterate and refine rapidly.
About the Role:
We are seeking a passionate Intern Data Scientist with a strong foundation in AI techniques, particularly in generative AI systems. In this role, you will collaborate on advanced modeling and GenAI projects that drive innovation and shape our data-driven strategies. This is an exciting opportunity to work alongside industry experts and contribute to developing state-of-the-art AI solutions.
Key Responsibilities:
• Advanced AI Modeling: Assist in the design, development, and deployment of sophisticated machine learning models and algorithms to address complex business challenges.
• Generative AI Expertise: Apply your knowledge of generative AI to develop and fine-tune models, contribute to synthetic data generation and data augmentation, and engineer GenAI agents using both commercial and open source large language models (LLMs).
• Collaborative Solution Development: Work closely with domain experts, software engineers, and stakeholders to understand business requirements and translate them into actionable AI solutions.
• Data Analysis & Preprocessing: Conduct exploratory data analysis, perform data preprocessing, and execute feature engineering to ensure high-quality data inputs for modeling.
• Innovative Research: Stay abreast of the latest advancements in AI research, experimenting with emerging techniques and integrating new insights into projects.
• Clear Communication: Present findings, insights, and technical concepts to both technical and non-technical audiences through effective visualizations and presentations.
• Infrastructure & Best Practices: Contribute to developing and maintaining a robust machine learning infrastructure while upholding industry best practices.
Qualifications:
• Basic understanding of AI techniques and machine learning fundamentals, with a keen interest in generative AI systems.
• Experience or relevant coursework in data science, machine learning, or a related field.
• Familiarity with programming languages and tools commonly used in data science (e.g., Python, TensorFlow, PyTorch) is a plus.
• Ability to work collaboratively in a team environment and communicate effectively.
• Strong analytical skills, problem-solving abilities, and attention to detail.
• A proactive mindset with a passion for learning and contributing to innovative projects.
Duration: 6 Months
Stipend: 10,000- 25,000 per month depending upon knowledge
How to Apply:
We'd love to hear from you if you're excited to help shape the future of AI and contribute to groundbreaking projects.
Please submit your resume and a cover letter with Lucky at
When connecting on LinkedIn, please provide:
• Your updated resume
• Your current academic status and expected graduation date
• Any relevant projects, portfolio, or GitHub profile