AI ML Engineer

NETS International Group is seeking a highly skilled AI/ML Engineer to join our innovation and analytics division. The ideal candidate will have strong expertise in machine learning, data science, and AI model deployment, with the ability to design, train, and optimize predictive systems that deliver measurable impact.

This role involves working closely with data engineers, software developers, and cloud architects to integrate AI-driven solutions into scalable enterprise applications using modern frameworks, cloud services, and MLOps practices.

Key Responsibilities:

• Design, develop, and deploy machine learning models and AI-based solutions for predictive analytics, automation, and decision support.
• Perform data preprocessing, feature engineering, and model evaluation using statistical and deep learning techniques.
• Implement models using Python frameworks such as TensorFlow, PyTorch, Scikit-learn, and Keras.
• Collaborate with data engineers to build and maintain data pipelines for training and inference.
• Integrate AI models into production environments using APIs, containers, and cloud-based services (AWS Sagemaker, Azure ML, or Google AI Platform).
• Work with large datasets from diverse sources — structured, unstructured, and streaming — ensuring data quality and security.
• Develop and optimize MLOps pipelines for continuous training, deployment, and monitoring of machine learning models.
• Conduct research and experimentation to evaluate new AI techniques and frameworks that can enhance enterprise systems.
• Collaborate cross-functionally with business and technical teams to translate requirements into actionable AI/ML solutions.
• Ensure model explainability, fairness, and compliance with company and industry standards.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related field.
• Proven experience (3+ years) in machine learning, AI model development, and data analytics.
• Proficiency in Python, with strong knowledge of libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, and Keras.
• Strong understanding of data preprocessing, model selection, feature engineering, and evaluation metrics.
• Experience with SQL and NoSQL databases (MySQL, MongoDB, PostgreSQL, etc.).
• Hands-on experience with cloud-based AI/ML services (AWS Sagemaker, Azure ML, GCP AI Platform).
• Familiarity with DevOps/MLOps tools (Docker, Kubernetes, MLflow, or Kubeflow) for scalable deployment.
• Good grasp of statistics, probability, linear algebra, and data visualization tools (Matplotlib, Seaborn, Power BI).
• Knowledge of Natural Language Processing (NLP), Computer Vision, or Generative AI is a strong plus.
• Excellent problem-solving, analytical, and collaboration skills.

Job Type: Full-time

Ability to commute/relocate:

• ıstanbul: Reliably commute or planning to relocate before starting work (Required)

Application Question(s):

• what is your monthly current salary?
• what is your monthly expected salary?
• what is your notice period?

Education:

• Bachelor's (Required)

Experience:

• AI ML Engineer: 4 years (Required)