MachineHack Generative AI Hiring Drive 2024: MachineHack Generative AI Hiring Drive 2024 for its Generative AI Engineer. MachineHack Generative AI Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Graduate degree in Computer Science, AI, ML, Data Science, or a relevant field. if you are interested, please apply as soon as possible.
Company Name: MachineHack Generative AI
Role: Generative AI Engineer
Location: Bengaluru
Experience: +5 years
Qualification: Graduate degree in Computer Science, AI, ML, Data Science, or a relevant field.
Batch: Any
Job Type: Full Time
Salary: Best in Industry
MachineHack Generative AI Hiring Drive 2024
Job Description:
- MachineHack is actively seeking passionate candidates specializing in Generative AI and Large Language Models.
- We invite individuals enthusiastic about crafting innovative solutions using cutting-edge GenAI methodologies to join our team.
- If you’re eager to delve into the realm of Generative AI, we encourage you to apply and explore this opportunity with us.
Requirements:
- Educational Background: Graduate degree in Computer Science, AI, ML, Data Science, or a relevant field.
- AI Knowledge: Strong comprehension of artificial intelligence, specifically Generative AI & LLMs.
- GenAI and LLM Frameworks: Proficiency and exposure to generative ai LLM based application development frameworks including LangChain, LlamaIndex, Hugging Face pipelines.
- Coding Skills: Proficiency in coding frameworks for implementing AI, Generative AI, and LLM models.
- AWS: Should have good exposure to AWS platform specifically for deploying and managing AI-based applications.
- GitHub: Sound exposure to GitHub environment.
- Prior Experience: Preference for candidates with prior experience in GenAI and LLM application development work.
Responsibility:
- Developing GenAI and LLM-Based Applications: Work for developing enterprise level applications in the area of Generative AI and Large Language Models.
- Market Trends Monitoring: Keep abreast of AI field developments, covering the latest updates and trends.
- Experimental Analysis: Conduct hands-on experiments, implement AI models, and prepare detailed reports on findings.
- Documentation: Documenting the project details in a professional manner.
- Use Case Development: Comprehend business requirements, devise potential AI use cases, and generate white papers or relevant documents.
Company Overview:
- MachineHack is a globally recognized platform dedicated to advancing Artificial Intelligence and Machine Learning through innovation, collaboration, and continuous learning.
- As a leading hub for generative AI development, we foster a vibrant, inclusive community that encourages knowledge sharing, creativity, and ethical AI solutions.
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