Machine Learning Innovator

6 days ago


Mount Abu, Rajasthan, India beBeeInnovator Full time ₹ 12,00,000 - ₹ 20,00,000

About the Role

We are looking for a skilled Machine Learning Innovator who can bridge the gap between data engineering and applied machine learning. This role involves building pipelines, training models, and deploying them into production at scale.

Responsibilities:
  • Data Pipeline Development: Design and build data pipelines to transform raw events into usable features.
  • Label Definition: Define and compute labels from historical events.
  • Model Development and Training: Develop and train ML models using Python (scikit-learn, LightGBM, XGBoost).
  • Inference Services: Build real-time inference services to serve predictions into production systems.
  • Pipeline Setup and Monitoring: Set up retraining and monitoring pipelines (Airflow, MLflow, or similar).
  • Collaboration with Backend Engineers: Collaborate with backend engineers to integrate model outputs into workflows.
  • Data Quality and Compliance: Ensure data quality, reproducibility, and compliance.
Requirements:
  • Experience in Data Engineering or Applied ML: 3–5+ years of experience in data engineering or applied machine learning.
  • Technical Skills: Strong proficiency in Python, SQL, and one or more ML libraries. Experience with data pipelines (Airflow, dbt, or custom ETL) and event-driven systems (Kafka, Redis, ClickHouse or similar OLAP).
  • Problem-Solving Skills: Strong problem-solving skills and eagerness to work in a startup environment.
Nice-to-Haves:
  • MLOps Tools: MLOps tools (MLflow, BentoML, Ray Serve). Experience with bandit algorithms, A/B testing, or uplift modeling.

Become an integral part of our team and help shape the future of customer engagement.



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