Machine Learning Forecasting Expert

4 days ago


Vizag, Andhra Pradesh, India beBeeDataScientist Full time ₹ 18,00,000 - ₹ 20,00,000

Imagine a world where demand forecasting is elevated to new heights through an innovative ML platform.

We are seeking a highly skilled Senior Data Scientist / ML Engineer to design and operationalize advanced forecasting solutions at scale. This role blends hands-on machine learning with solid software engineering practices to deliver robust, scalable, and transparent forecasting capabilities.

Key Responsibilities

  • Develop and deploy production-grade forecasting models that drive business growth.
  • Design end-to-end machine learning pipelines for data ingestion, feature engineering, model training, and deployment.
  • Build probabilistic models to quantify forecast uncertainty and inform strategic decisions.
  • Write clean, modular, object-oriented code following best practices in software development.
  • Implement MLOps best practices including model versioning, monitoring, and CI/CD.
  • Work with distributed training frameworks for scalable model development and ensure seamless integration with cloud-based environments.
  • Collaborate with cross-functional teams (engineering, product, strategy) to align solutions with business needs and goals.

Requirements


• Experience in demand forecasting or retail/supply chain analysis.


• Exposure to containerization (Docker, Kubernetes).


• Familiarity with data orchestration frameworks (Airflow, Prefect).

Ideal Candidate Profile

· 3–6 years of relevant experience in Data Science / ML Engineering.

· Strong proficiency in Python and core libraries such as pandas, numpy, scikit-learn.

· Hands-on experience with deep learning frameworks (preferably PyTorch).

· Experience with distributed training and large-scale datasets.

· Proven ability to build scalable, production-grade ML pipelines.

· Familiarity with MLOps practices (CI/CD, monitoring, retraining pipelines).

· Solid understanding of statistical modeling, regression, and time series.

· Experience working in cloud environments (Databricks, AWS, GCP).

· Strong software engineering skills with a focus on clean, modular, object-oriented code.

· Excellent problem-solving, communication, and collaboration skills.

What We Offer

Competitive compensation and benefits package, opportunities for professional growth and development, collaborative work environment, flexible work arrangements.



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