Remote AI Engineer Intern
Infoshyla Technologies
IndiaFresher2m agovia LinkedIn
This job at a glance
- Who can apply
- Freshers and up to 1 year
- Must know
- Product managementMachine learningDeep learningNLPPythonJava
- Nice to have
- AWSAzureGCP
- Work
- Remote · internship
- Pay
- Not stated by the employer.
- Skill demand
- Machine learning60%Deep learning26%NLP15%Product management8%of 99 similar fresher jobs posted in India this week
- Listed
- 6 Nov 2026 · still open
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About the Role
Infoshyla Technologies partners with funded startups and scaling product teams to turn complex product roadmaps into production-ready software. The company engineers agentic AI workflows, distributed and cloud systems, high-performance mobile and web applications, and secure integrations.
The Remote AI Engineer Intern will support the design, development, and testing of AI-powered features and services across Infoshyla’s client projects. This is a full-time remote role.
Key Responsibilities
- Implement and experiment with machine learning models.
- Assist in building and refining neural network architectures.
- Contribute to NLP and pattern recognition workflows.
- Integrate AI components into existing software systems.
- Write clean and maintainable code.
- Collaborate with senior engineers on code reviews and technical documentation.
- Work closely with distributed teams, attending virtual stand-ups, and regularly communicating progress and findings.
- Learn new tools and frameworks.
- Follow best practices in software engineering.
- Contribute to problem-solving in real-world production contexts.
Requirements & Tech Stack
- Python, JavaScript, or Java
- Version control (Git)
- Machine learning frameworks (e.g., PyTorch, TensorFlow)
- Prior experience in cloud platforms (AWS, GCP, or Azure) is a plus.
Qualifications
- Strong foundation in Computer Science, including algorithms, data structures, and programming fundamentals.
- Skills in Neural Networks and Pattern Recognition.
- Experience or coursework in Natural Language Processing (NLP), including text preprocessing, embeddings, and model evaluation.
- Currently pursuing or recently completed a degree in Computer Science, Data Science, Engineering, or a related technical field.
- Ability to work independently in a remote setup, manage time effectively, and collaborate with cross-functional teams.
- Comfort with learning new tools and frameworks quickly.
- Strong analytical and problem-solving abilities.
- Clear written and verbal communication.
- Attention to detail in documentation and testing.