AI/ML Engineer
@ BayOne Solutions

Hybrid
₹0
Hybrid
Full Time
Posted 6 hours ago

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XXXXXXXXXX XXXXXXXXXXX XXXXXXX******* @bayonesolutions.com
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Job Details

Position Overview

The AI/ML Engineer role at BayOne Solutions is a full-time position working remotely from India with work hours set to IST (02.00 PM to 10.00 PM IST). This role requires strong skills in machine learning frameworks, natural language processing with large language models, and generative model applications.

Key Skills & Experience

  • Proficiency with ML frameworks such as 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
  • API development and model integration
  • Familiarity with Docker and Kubernetes
  • Knowledge of CI/CD pipelines, databases (MongoDB), data lakes, or real-time data processing tools

Equal Opportunity

BayOne Solutions is an Equal Opportunity Employer. They do not discriminate based on race, color, sex, age, religion, sexual orientation, gender identity, veteran status, or disability.

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

  • Customize Resume: Tailor your skills to AI/ML Engineer role.
  • Highlight Projects: Emphasize ML frameworks and LLMs experience.
  • Research BayOne Solutions: Review company culture and values.
  • Practice Technical Interviews: Prepare coding and model integration tasks.

📝 Interview Preparation Advice

Technical Preparation

Review TensorFlow and PyTorch basics.
Practice building NLP models using LLMs.
Improve API integration and model deployment skills.
Study Docker, Kubernetes, and CI/CD pipelines.

Behavioral Questions

Describe a challenging ML project you led.
Explain working remotely in a team setting.
Discuss prioritizing tasks during deadline pressure.
Share a time when feedback improved your work.

Frequently Asked Questions