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Predictive Intelligence Engineer

Predictive Intelligence Engineer

OptiplyHyderabad, Telangana, India
5 days ago
Job description

About Us

Optiply is at the forefront of three rapidly expanding sectors : Software as a Service, Artificial Intelligence, and E-commerce. With our intelligent purchasing software, we empower over 300 web shops and wholesalers to make smarter buying decisions, using predictive analytics to optimize inventory management. We're not just building a product; we're building the future of autonomous inventory management.

Job Description

At Optiply, we run millions of demand forecasts every day to optimize the global e-commerce supply chain. As our Predictive Intelligence Engineer , you won't just be building models; you'll be engineering the core intelligence of a system that operates at a massive scale. You will be responsible for the performance, accuracy, and scalability of the algorithms that form the backbone of our product. This is a unique opportunity to make a significant impact in a high-volume, production environment, working across both Python and R to solve complex forecasting challenges.

This is what you'll be doing

  • Architect, enhance, and maintain our forecasting systems, working across both our Python and R codebases to deliver robust, scalable solutions.
  • Take ownership of improving the accuracy and performance of models that are already running on millions of time series daily.
  • Research, prototype, and implement next-generation forecasting algorithms (from statistical methods to ML / deep learning) capable of performing on large-scale datasets.
  • Enhance and refactor our existing forecasting models in R while leading the development of new, state-of-the-art services in Python.
  • Develop and own the MLOps pipelines for our forecasting models, including automated training, deployment, A / B testing, and monitoring for performance at scale.
  • Collaborate with Backend Engineers and Data Scientists to ensure our forecasting engine is seamlessly and efficiently integrated into our product.

This is who we’re looking for

  • You have 3–6 years of professional experience building and deploying machine learning models in a high-volume production environment, with a strong focus on time series forecasting.
  • Proven expertise in both Python and R for production-level data science. You are an expert in at least one, with professional, hands-on experience in the other.
  • Python : pandas, scikit-learn, LightGBM / XGBoost, etc.
  • R : dplyr, data.table, forecast / fable, tidymodels, etc.
  • Demonstrated experience working with large-scale data and building high-performance, production-grade ML systems.
  • Deep theoretical and practical understanding of time series analysis, from classical statistical models (ARIMA, ETS) to modern machine learning techniques.
  • Hands-on experience with software engineering best practices and tools, including Git, Docker, and CI / CD pipelines.
  • Strong experience with SQL for complex data extraction and analysis.
  • You are a pragmatic problem-solver, driven by the challenge of optimizing a complex system and delivering measurable business impact.
  • Nice to Have

  • Experience with probabilistic forecasting and inventory optimization techniques.
  • Exposure to cloud platforms (GCP, AWS, or Azure) and MLOps tools (e.g., MLflow, Kubeflow).
  • Experience with large-scale data processing tools (e.g., Spark, Dask).
  • Prior experience in a SaaS, e-commerce, or supply chain tech company.
  • This is what we offer

  • Competitive Compensation Package : Reflects your skills and contributions.
  • Holistic Work-Life Harmony : We value your personal time and promote a healthy work-life balance.
  • Comprehensive Health Coverage : Robust insurance plans for your peace of mind.
  • Investment in Professional Growth : We invest in your development with paid training programs.
  • Adaptable Work Hours : We offer flexibility in your work schedule.
  • Hybrid Work Model : Enjoy a blend of remote and in-office work.
  • Strategic Career Development : We provide personalized growth plans and advancement opportunities.
  • Tailored Workspace Setup : Get a high-quality PC, monitor, keyboard, and other essentials.
  • Social Fridays : Wind down the week with casual drinks and foster team camaraderie.
  • This Job Description made your day?

  • Then send us your CV in English and get prepared to meet our team! We are excited to see how you can help us scale the future of inventory optimization.
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    Intelligence Engineer • Hyderabad, Telangana, India

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