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Artificial Intelligence Intern
2 months ago
About the internshipSelected intern's day-to-day responsibilities include:
A. Research Initiatives:
1. Engage in ongoing generative AI research projects under the guidance of the research team
2. Contribute to the development and enhancement of cutting-edge generative models
B. Literature Review:
1. Conduct literature reviews to stay abreast of the latest advancements and trends in generative AI
2. Summarize and communicate relevant research findings to the team
C. Algorithmic Development:
1. Collaborate with the team to design, implement, and test novel algorithms related to generative AI
2. Iterate on existing models to improve performance and efficiency
D. Data Analysis:
1. Analyze datasets relevant to generative AI, identifying patterns and insights to inform model improvements
2. Work on data preprocessing and augmentation to enhance model training
E. Documentation:
1. Maintain detailed documentation of research methodologies, experiment results, and algorithm implementations
2. Create clear and concise reports for internal and potentially external dissemination
F. Collaboration:
2. Participate in regular team meetings to discuss progress, challenges, and potential areas of improvementSkill(s) requiredData ScienceData StructuresDeep LearningMachine LearningNatural Language Processing (NLP)Neural NetworksPythonEarn certifications in these skillsLearn PythonLearn Voice App DevelopmentLearn Data StructuresLearn Machine LearningLearn Data ScienceLearn Neural NetworksLearn Deep LearningWho can apply
1. Who are available for full time (in-office) internship
2. can start the internship between immedietely
3. are available for duration of 6 months
4. have relevant skills and interests
Other requirements
1. Strong background in generative AI research, with a focus on cutting-edge technologies and methodologies like Runway ML, Comfy UI, Midjourney, Stable Diffusion, etc.
2. Demonstrated expertise in implementing and refining generative models, including but not limited to GANs, VAEs, and other related architectures
3. Proven ability to contribute to the advancement of generative AI by actively engaging in relevant research publications, conferences, and communities
4. Proficiency in programming languages commonly used in AI research, such as Python and TensorFlow/PyTorch
6. Strong analytical and problem-solving skills, with the capability to address complex challenges in generative AI
7. Effective communication skills to collaborate with interdisciplinary teams and present research findings clearly
8. Ability to work independently and drive innovative research projects, showcasing a self-motivated and proactive approach
10. Academic background with a focus on machine learning, deep learning, or a related field
11. Familiarity with the latest trends and advancements in generative AI to ensure relevance and innovation in research projects
**Job Type**: Internship
Pay: ₹8,182.96 - ₹10,599.62 per month
**Benefits**:
- Flexible schedule
Schedule:
- Day shift
Supplemental pay types:
- Commission pay
- Performance bonus
**Experience**:
- total work: 1 year (required)
Ability to Commute:
- Vasanth Nagar, Bengaluru, Karnataka (required)
Ability to Relocate:
- Vasanth Nagar, Bengaluru, Karnataka: Relocate before starting work (required)
Work Location: In person
**Speak with the employer**
+91 8257001885
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