About the role
HOW TO APPLY: Send your updated CV to jobs@marketengine.ai with the subject "Application for AIML Engineering Intern - [Your Name]". MarketEngine.ai is hiring AIML Engineering Interns to work on AI/M… Subscribe to Premium to view the full description and apply.
Responsibilities
- Work on AI/ML engineering and MLOps/LLMOps initiatives.
- Build infrastructure-as-code pipelines for LLMOps.
- Work with Azure Cloud, AI/ML, and data pipeline services.
- Develop and implement ML algorithms and solutions.
- Contribute to productionizing Generative AI systems.
- Optimize machine learning-based systems.
- Work with engineering teams and communicate effectively in a U.S. East Coast working-hours environment.
Requirements
- B.Tech/B.E. in Computer Science, IT, or a related field from a reputed institute.
- 1+ years of software development experience.
- 1+ years of MLOps/LLMOps experience.
- Knowledge of infrastructure as code for LLMOps pipelines.
- Knowledge of Azure Cloud, AI/ML, and data pipeline services.
- Solid understanding of ML algorithms and solutions.
- Excellent problem-solving skills.
- Strong communication skills in English.
- Willingness to work U.S. East Coast hours.
Benefits
- Hands-on experience in AI/ML engineering.
- Exposure to MLOps and LLMOps pipelines.
- Experience with Azure Cloud and infrastructure-as-code technologies.
- Opportunity to work on productionizing Generative AI systems.
Required Skills
Frequently Asked Questions
What is the salary for AIML Engineering Intern?
The listed salary for AIML Engineering Intern at MarketEngine.ai is ₹30,000/month.
Where is this AIML Engineering Intern role located?
This position is based in Pune, India (On-site).
What experience is required for AIML Engineering Intern?
Candidates are expected to have 1+ Years of experience for this role.
How do I apply for AIML Engineering Intern at MarketEngine.ai?
Use the Apply button on this HireDoor job page to submit your application for AIML Engineering Intern at MarketEngine.ai.
What are the key benefits for AIML Engineering Intern?
Key benefits include: Hands-on experience in AI/ML engineering.; Exposure to MLOps and LLMOps pipelines.; Experience with Azure Cloud and infrastructure-as-code technologies.; Opportunity to work on productionizing Generative AI systems..
Redirecting to sign up…