Senior Machine Learning Engineer

5 days ago

Istanbul, Istanbul, Turkey Gizli Şirket Full time ₺60,000 - ₺80,000 per year

Job Description

  • Design and deploy
    production-grade ML systems
    using state-of-the-art tools and heterogeneous data sources for use cases including
    anomaly detection, time-series forecasting, resource optimization, and predictive maintenance
    .
  • Translate
    business/application requirements
    , model specifications, data descriptions, and test criteria into
    working PoCs
    , and evolve them into
    scalable, reliable services
    .
  • Build
    robust training-to-inference pipelines
    with hyperparameter optimization, experiment tracking, model versioning, reproducible containerized builds, and automated deployment.
  • Work cross-functionally with
    architects, engineers, and product/pre-sales teams
    to design experiments, interpret results, and communicate the trade-offs between
    accuracy, scalability, latency, and cost
    .
  • Apply ML, statistics, optimization, and operations research methods to construct
    interpretable, automated ML workflows
    and decision-support systems.

Minimum Requirements

  • Education:
    MSc in Computer Science, Electrical Engineering, Mathematics, Statistics, or related field — or equivalent experience (
    4+ years designing and deploying ML systems
    ; research experience is a plus).
  • Strong grounding in
    mathematics, probability, statistics, optimization
    , and ML fundamentals.
  • Proficiency in
    Python
    and ML tooling (NumPy, pandas, scikit-learn;
    PyTorch/TensorFlow
    is a plus).
  • Expertise in
    data preprocessing
    , feature engineering, and
    experimental design
    with sound statistical judgment.
  • (Nice to have)
    Familiarity with
    MLOps
    : monitoring, observability, drift detection, CI/CD, deployment patterns, and cost optimisation.
  • (Nice to have)
    Experience with
    cloud platforms
    (AWS, GCP, Azure).
  • (Nice to have)
    Knowledge of model efficiency techniques (compression, quantization, distillation) and
    accelerator-aware inference
    .
  • (Nice to have)
    Exposure to
    telecom systems
    (RAN/OSS/BSS/NWDAF) or industrial OT environments.

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