Cloud AI/ML Engineer

16 hours ago


Fatih, Istanbul, Turkey Kafein Technology Solutions Full time

Get AI-powered advice on this job and more exclusive features.

Who Are We?

Since 2005, Kafein Technology Solutions has been delivering services, solutions, and products to meet the software and technology management needs of its national and international customers in the technology, banking, telecommunications, tourism, services, retail, and insurance sectors. The company has successfully implemented projects in areas such as mobile payment systems, e-commerce, and telecommunications, as well as advanced fields like big data analytics, KVKK compliance, cybersecurity, and mobile application development.

About the Role

As a Customer Engineer, you will work closely with cross-functional teams to design, develop, and deliver AI/ML-powered solutions on Google Cloud/AWS. This role provides the opportunity to apply AI/ML concepts in real-world business scenarios, build scalable architectures, and engage directly with customers to solve complex challenges using GCP/AWS's AI/ML ecosystem.

Key Responsibilities

  1. Collaborate with sales, data, and engineering teams to design and implement AI/ML solutions tailored to customer needs.
  2. Develop machine learning pipelines, optimize data processing workflows, and deploy models using Vertex AI, SageMaker, TensorFlow, and BigQueryML.
  3. Conduct product demonstrations, workshops, and proof-of-concepts (PoCs) showcasing GCP AI/ML capabilities such as Gen AI, Vertex AI, SageMaker, Bedrock, and Gemini.
  4. Translate business requirements into scalable, cloud-based AI/ML architectures.
  5. Support customers in their AI adoption journey, guiding them through best practices for model deployment, monitoring, and optimization.
  6. Stay updated on Google/AWS Cloud AI/ML advancements and provide insights on emerging trends and technologies.

Preferred Skills & Qualifications

  1. Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  2. Strong foundation in machine learning concepts, statistical methods, and algorithms.
  3. Hands-on experience with Python, SQL, and numerical programming frameworks such as TensorFlow, PyTorch, or scikit-learn.
  4. Knowledge of Google Cloud/AWS AI/ML services (Vertex AI, BigQuery ML, AutoML, Gemini, SageMaker, Bedrock) is a plus.
  5. Cloud certifications (GCP, AWS, or Azure) are highly desirable.
  6. Strong problem-solving skills, a passion for AI innovation, and the ability to communicate technical ideas effectively.
Seniority level

Associate

Employment type

Full-time

Job function

Information Technology

Industries

IT Services and IT Consulting

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