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Machine Learning Engineer / AI Engineer

Machine Learning Engineer / AI Engineer

Zenius Corporation
3-5 Years
Early Applicant
  • Posted a month ago
  • Be among the first 20 applicants

Job Description

As an AI Engineer, you will design, build, and deploy algorithms and features to enhance digital products. You'll collaborate with engineering and product teams to deliver scalable, data-driven solutions in a hands-on technical role.

Key Responsibilities:

  • Design and improve AI features using React, Node.js, and Express
  • Integrate OpenAI and other LLM APIs to improve conversation quality
  • Perform data cleaning, feature engineering, and model evaluation
  • Fine-tune and train models for domain-specific needs
  • Develop middleware and pipelines to manage context, user history, and optimize prompts
  • Translate user requirements into AI-driven features
  • Implement robust testing, evaluation, and monitoring for AI models in production
  • Stay current with developments in LLMs and AI tools

Skills & Experience:

  • Bachelor's or Master's in Computer Science, Data Science, or related field
  • 3+ years as a Machine Learning or AI Engineer
  • Strong with Node.js, Express, and React
  • Hands-on experience with OpenAI or similar APIs
  • Experience with recommendation engines, personalization, or user behavior modeling
  • Understanding of prompt engineering, model fine-tuning, and embedding-based retrieval (RAG)
  • Familiar with Python for data preparation or model training
  • Knowledge of tokenization, vector databases, and conversational flow design
  • Experience with cloud platforms (GCP, AWS, or Azure)
  • Strong problem-solving skills and ability to work in a fast-paced environment

Preferred:

  • Experience in health, nutrition, or wellness
  • Understanding of data privacy, security, and AI ethics
  • Experience working with remote, cross-functional teams

More Info

Job Type:
Industry:
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Key Skills

user behavior modeling

conversational flow design

model fine-tuning

recommendation engines

vector databases

prompt engineering

embedding-based retrieval

About Company

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