Global AI Engineer — ML & Data Insights Leader

NewMind AI

Fatih

Hybrid

TRY 450,000 - 700,000

Full time

12 days ago

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Job summary

NewMind AI is a forward-thinking tech company in Istanbul focusing on big data and AI-enabled governance tools. We seek an experienced AI Engineer to build and deploy ML models, analyze data, and collaborate with interdisciplinary teams to turn business needs into practical ML solutions.

The role emphasizes staying current with ML advances, optimizing models, and implementing robust CI practices to deliver reliable results for clients globally.

Qualifications

  • Bachelor's degree in Computer Engineering, Data Science, or related field.
  • Master's or PhD is a plus.
  • 3+ years of experience in a data-focused team building deep learning models.
  • Proficiency in Python and ML frameworks (TensorFlow, PyTorch).
  • Strong statistical and data analysis skills; experience with generative models.

Responsibilities

  • Develop and deploy machine learning models and data-driven solutions for various business needs.
  • Perform data analysis to extract insights, identify trends, and inform strategic decisions.
  • Collaborate with cross-functional teams to translate business requirements into ML and data science solutions.
  • Stay up-to-date with the latest advancements in machine learning and data science fields.
  • Optimize existing models and analytical processes for improved performance and efficiency.
  • Implement code quality and CI best practices to ensure robust and reliable solutions.

Skills

Python
NLP
CV
Statistics
Data Analysis
Deep Learning
Generative Models
English
Self-Motivation

Education

Bachelor's degree in Computer Engineering or Data Science
Master's or PhD a plus

Tools

Elasticsearch
MongoDB
PostgreSQL
MySQL

Job description

NewMind AI is a forward-thinking tech company in Istanbul focusing on big data and AI-enabled governance tools. We seek an experienced AI Engineer to build and deploy ML models, analyze data, and collaborate with interdisciplinary teams to turn business needs into practical ML solutions.

The role emphasizes staying current with ML advances, optimizing models, and implementing robust CI practices to deliver reliable results for clients globally.

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