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Senior/Staff AI Engineer

Oredata

Role overview

Qualifications

  • Bachelor’s degree in Computer Engineering, Computer Science, Electrical Electronics Engineering, or a related field
  • Minimum 5 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

Responsibilities

  • Designing, deploying, and optimizing production-grade AI/ML solutions
  • Collaborating with cross-functional teams to solve complex business problems
  • Utilizing data-driven approaches to enhance operational and analytical capabilities
  • Managing the model lifecycle including deployment, monitoring, scalability, and reliability

About the company

Oredata logo

Oredata

Data Analytics & Business Intelligence

OREDATA's vision is to be the leading provider of analytics solutions converting broad range of data into insightful information. To achieve this, we are committed in conducting fundamental research and driving innovation in the field of big data. We provide the next generation analytics platform to uncover the business opportunities emerged from the explosion of structured transactional and unstructured social media data. OREDATA combines data integration, data transformation and data visualization layers in its platform enabling our customers to perform interactive business analysis on big data. We offer big data solutions that meet the needs of our clients in many industries. We help them excel in changing market conditions by exploring new use cases, better understanding their customers and taking actions based on OREDATA insights.

Company details

Company typeSME
IndustryData Analytics & Business Intelligence
Company size51 - 200

Links

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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

Requirements:

  • Bachelor’s degree in Computer Engineering, Computer Science, Electrical & Electronics Engineering, or a related field
  • Minimum 5 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)
  • Eligible to work in Turkey

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

Benefits

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

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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