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Senior/Staff AI Engineer

Key Facts

Remote From: 
Full time
Senior (5-10 years)
English

Other Skills

  • Reliability
  • Communication
  • Teamwork
  • Analytical Thinking

Roles & Responsibilities

  • Bachelor’s degree in Computer Engineering, Computer Science, Electrical/Electronics Engineering, or a related field
  • Minimum 6 years of professional experience in AI/ML engineering, data science, or related roles with production-grade systems
  • Hands-on experience with Python and ML stack (Pandas, NumPy, Scikit-Learn, PyTorch or TensorFlow)
  • Experience with MLOps and model lifecycle management, deployment technologies (Docker, Kubernetes, MLflow, FastAPI) and cloud platforms (GCP, AWS, Azure)

Requirements:

  • Design, deploy, and optimize production-grade AI/ML solutions
  • Collaborate with cross-functional teams to solve complex business problems using data-driven approaches
  • Ensure scalable, reliable AI/ML systems through effective model lifecycle management, monitoring, and governance
  • Communicate technical concepts to business stakeholders and document technical work clearly

Job description

OREDATA is a Digital Transformation & IT Consulting firm with 10+ years of proven expertise and hundreds of successfully implemented projects across the EMEA region. When you join the OREDATA team, you'll be working hand-in-hand with experts focused on tackling digital, operational, analytical & data science challenges with the greatest impact. We foster collaboration with proximity, an agile and autonomous approach and best practices and guiding principles.

Read more: https://medium.com/@oredata-engineering

Apply and be part of our exciting journey!

Role Summary:

This role is responsible for designing, deploying, and optimizing production-grade AI/ML solutions while collaborating with cross-functional teams to solve complex business problems using data-driven approaches.

Requirements:

  • Bachelor’s degree in Computer Engineering, Computer Science, Electrical & Electronics Engineering, or a related field
  • Minimum 6 years of professional experience in AI Engineering, Data Science, Machine Learning Engineering, or related roles
  • Proven experience building and deploying production-grade AI/ML systems at scale
  • Strong hands-on experience with Python, Pandas, NumPy, Scikit-Learn, PyTorch, or TensorFlow
  • Experience with MLOps and model lifecycle management (deployment, monitoring, scalability, reliability)
  • Experience with Docker, Kubernetes, MLflow, FastAPI, or similar deployment technologies
  • Experience with cloud platforms and AI/ML services (GCP, AWS, Azure, Vertex AI, SageMaker or similar)
  • Strong understanding of software engineering principles, scalable architectures, and clean code practices
  • Experience with data engineering and feature engineering processes (data pipelines, large-scale datasets)
  • Ability to solve complex business problems using AI/ML techniques (problem framing, analytical thinking, data-driven decision making)
  • Strong communication skills with the ability to explain technical concepts to business stakeholders
  • Advanced level of English (technical communication and documentation)

Strong Experience (High Impact)

  • Experience with LLMs, prompt engineering, RAG systems, LangChain, LlamaIndex, or similar frameworks
  • Experience delivering AI/Data Science solutions across multiple industries (Finance, Retail, Telecom, Ecommerce)
  • Experience working in customer-facing or consultative environments

Get to know us

If you want to know more about us and what we do, then visit our website: www.oredata.com

Why Oredata?

  • Remote working and flexible time off
  • Open communication, flexibility and start-up spirit
  • Learning & Development opportunities for both personal and professional growth
  • Opportunity to get company paid Professional Certificates (Google Cloud Platform, Confluent Kafka, etc)
  • Access to Online Training Platforms (Udemy, Pluralsight, A Cloud Guru, Coursera, etc.)
  • Dynamic work ecosystem where you can take initiative and responsibility
  • Opportunity to work on international projects
  • Private Health Insurance
  • Birthday Leave Policy

Kişisel verileriniz işe alım sürecinin yürütülebilmesi amacıyla veri sorumlusu sıfatıyla şirketimiz Oredata Yazılım A.Ş. tarafından işlenecektir. Kişisel verilerinizin işlenmesi ve haklarınızla ilgili detaylı bilgiye https://oredata.com/personal-data-protection-policy/ bağlantısı üzerinden ulaşabilirsiniz.

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