Machine Learning Engineer

15 hours ago


Konak, Turkey Eldor Group Full time

We are looking for a colleague for the Machine Learning Engineer position in our office in Izmir - Aegean Free Zone

Responsibilities

  • Research, build, and deploy ML/DL models (time series forecasting, regression, classification) for demand prediction and resource optimization.
  • Integrate Generative AI methodologies (transformer-based architectures, large language models) into existing and new product lines to unlock innovative AI-driven features.
  • Develop algorithms and frameworks using linear programming (OR-Tools, PuLP) and simulation tools (SimPy, AnyLogic) for resource allocation, production planning, and scenario analysis.
  • Implement and manage real-time data pipelines (Kafka, RabbitMQ) to handle high-volume data ingestion from various ERP systems (SAP ECC, MS Business Central, Karmak).
  • Perform exploratory data analysis on large, multifaceted datasets to derive insights and features relevant to forecasting and optimization models.
  • Apply ARIMA, SARIMA, Prophet, or deep learning approaches (LSTM, GRU) to capture trends, seasonality, and external factors (e.g., inflation, currency exchange) for accurate demand predictions.
  • Establish CI/CD pipelines (GitLab CI, Jenkins, GitHub Actions) to automate model training, testing, and deployment in production.
  • Partner with software developers, product managers, and operations teams to align ML initiatives with business objectives.
  • Stay informed on cutting-edge ML, DL, and Generative AI research, identifying opportunities to enhance existing solutions or develop new offerings.

Technical Knowledge & Skills

  • University Degree in Computer Engineering, Electrical and Electronics Engineering, Data Science, Mathematics or other technical engineering.
  • 3+ years of professional experience in ML/DL projects, preferably involving real-world production deployment.
  • Advanced Forecasting & Time Series Modeling: Proficiency in ARIMA, SARIMA, Prophet, and deep learning RNN frameworks (LSTM, GRU).
  • Optimization & Simulation: Hands-on experience with linear/mixed-integer programming (OR-Tools, PuLP) and simulation libraries (SimPy, AnyLogic).
  • Containerization & Orchestration: Proficiency with Docker and Kubernetes to deploy and manage ML solutions at scale.
  • CI/CD Pipelines: Experience with GitLab CI, Jenkins, or GitHub Actions for automated testing, integration, and continuous delivery.
  • Streaming Platforms: Experience with Apache Kafka or RabbitMQ for event-driven data architectures.
  • ETL/ELT Tools: Familiarity with Apache Airflow, Talend, or similar technologies for data ingestion, transformation, and pipeline scheduling.
  • Strong problem-solving ability and analytical thinking.
  • Experience in data visualization and reporting (Tableau, Power BI, Grafana, Metabase) is a plus.
  • Excellent debugging, validation, and testing skills for ML systems.
Seniority Level

Associate

Employment Type

Full-time

Job Function

Software Development

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