ML Data Science Engineer

3 days ago

Hyderabad, Telangana, India ArcelorMittal Digital Consulting Full time

Job Title
– ML + Data Science Engineer

Job Nature
– Full-time

Experience
– 6–8 years

Position Overview

Lead advanced analytics initiatives including time-series forecasting, predictive modelling, and optimization for supply chain and operations. Apply deep reinforcement learning for dynamic decision-making and collaborate with AI engineers on hybrid solutions.

Key Responsibilities

  • Forecasting & Predictive Modelling: Build time-series models (ARIMA, Prophet, LSTM) and regression/classification models.
  • Optimization & DRL: Apply reinforcement learning for inventory, routing, and resource allocation problems.
  • Feature Engineering & EDA: Analyse large datasets, derive insights, and prepare features for ML pipelines.
  • Model Evaluation & Interpretability: Use SHAP/LIME for transparency; document assumptions and limitations.
  • Collaboration: Work with AI engineers to integrate predictive models into enterprise workflows.

Required Skills

  • Strong Python (NumPy, Pandas, Scikit-learn, PyTorch/TensorFlow).
  • Expertise in time-series forecasting and classical ML.
  • Solid foundation in statistics, probability, and optimization.
  • Familiarity with DRL frameworks (Ray RLlib, Stable Baselines, or similar).
  • SQL and big data processing (Spark/PySpark).
  • Bachelor's or Master's degree in Data Science, Machine Learning, Computer Science, Statistics, or related fields.

Nice to have Skills – Added Benefit

  • Azure ML and Data Services.
  • Experience with supply chain or operations analytics.
  • Knowledge of OR-Tools or other optimization libraries.
  • Experience on Computer vision based system development

Soft Skills

  • Excellent verbal and written communication.
  • High attention to detail and follow-up discipline.
  • Strong organizational skills with the ability to multitask under deadlines.
  • Collaborative and adaptable in working with diverse teams.

Qualifications

  • Bachelor's degree in computer science, IT, or a related field.

Work Location
– Hyderabad

Time Zone


• Selected candidate is required to work as per India Time (IST) / European Time (CET/GMT) / Americas Time Zone (EST)

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