Machine Learning Engineer — AI, Data & Governance

NewMind AI; Şişli; On-site; TRY 400,000 - 700,000; Full time

Benefits offered by this job

Global reach

Professional development

Collaborative team

Job summary

NewMind AI is seeking a Machine Learning Engineer to develop and deploy ML models that drive data-driven insights for global clients. You will collaborate with cross-functional teams, translate business needs into ML solutions, and stay current with evolving AI techniques.

The role emphasizes deep learning, generative models, and robust data analysis using Python, TensorFlow, PyTorch, and NoSQL/SQL databases. English communication is essential for international collaboration and project delivery.

Qualifications

• Bachelor’s degree in Computer Engineering, Data Science, or a related field; Master’s or PhD is a plus.
• 3+ years of experience in a data-focused team building deep learning models and predictive analytics.
• Proficiency in Python; strong ML algorithms knowledge (NLP, CV) and frameworks (TensorFlow, PyTorch).

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 ML 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 solutions.

Skills

Python

Data analysis

ML algorithms

Deep learning

Generative models

English communication

Education

Bachelor’s degree in Computer Engineering, Data Science, or related field

Master’s or PhD degree is a plus

Tools

TensorFlow

PyTorch

Elasticsearch

MongoDB

PostgreSQL

MySQL

Job description

NewMind AI is seeking a Machine Learning Engineer to develop and deploy ML models that drive data-driven insights for global clients. You will collaborate with cross-functional teams, translate business needs into ML solutions, and stay current with evolving AI techniques.

The role emphasizes deep learning, generative models, and robust data analysis using Python, TensorFlow, PyTorch, and NoSQL/SQL databases. English communication is essential for international collaboration and project delivery.