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AI/ML Engineer
BayOne Solutions
HybridHybrid
Original Job Summary
Job Description
The AI/ML Engineer at BayOne Solutions is responsible for developing, integrating, and deploying machine learning models. This role is remote (India), full-time, and follows IST work hours from 02.00 PM to 10.00 PM.
Key Responsibilities & Skills
- Proficiency with ML frameworks like TensorFlow and PyTorch
- Experience with NLP and Large Language Models (LLMs)
- Strong understanding of generative models and applications
- Programming skills in Python, Go, or Java
- Expertise in API development and model integration
- Familiarity with Docker, Kubernetes, and CI/CD pipelines
- Knowledge of MongoDB, data lakes, and real-time data processing tools
Equal Opportunity
BayOne Solutions is an Equal Opportunity Employer and does not discriminate on any protected basis. The responsibilities listed represent the general duties necessary to perform this role.
Key skills/competency
- TensorFlow
- PyTorch
- NLP
- LLMs
- Generative Models
- Python
- API Development
- Docker
- Kubernetes
- CI/CD
How to Get Hired at BayOne Solutions
🎯 Tips for Getting Hired
- Tailor your resume: Highlight relevant ML projects and skills.
- Showcase technical expertise: Demonstrate hands-on experience with TensorFlow and PyTorch.
- Research BayOne Solutions: Understand the company culture and projects.
- Prepare for interviews: Practice questions on NLP and API integration.
📝 Interview Preparation Advice
Technical Preparation
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Review TensorFlow and PyTorch documentation.
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Practice coding in Python and Java.
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Study API development best practices.
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Set up Docker and Kubernetes environments.
Behavioral Questions
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Describe a challenging ML project experience.
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Explain teamwork on collaborative projects.
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Discuss handling tight project deadlines effectively.
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Share examples of problem-solving in previous roles.