Chief Machine Learning Engineer

1 week ago

Guntur, Andhra Pradesh, India beBeeData Full time ₹ 1,56,00,000 - ₹ 2,02,50,000
Senior Data Scientist

We are seeking a highly skilled professional to join our digital transformation team. The ideal candidate will have hands-on experience with model development and a deep understanding of customer data ingestion, real-time data pipelines, and AI-driven marketing strategies.

This role blends analytical rigor with innovative model building and maintenance, ensuring both operational excellence and strategic customer growth.

Key Responsibilities

  • Model Development
    • Design, build, and deploy machine learning models for segmentation, predictive analytics, prospect identification, targeting, personalization, Churn prediction & retention, campaign performance and other business use cases.
    • Contribute to building models for various use cases such as Revenue Management System, Customer 360, etc.
    • Apply statistical analysis and data visualization techniques to generate insights and communicate effectively to business stakeholders.
    • Translate model insights into actionable marketing strategies that enhance ROI and customer experience.
    • Collaborate with cross-functional teams including Martech, digital, and commercial teams to operationalize models into platforms and workflows.
    • Establish monitoring, retraining, and governance processes to ensure sustained model accuracy and business value.
  • Deep QA Model Validation
    • Validate existing models applying end-to-end QA checks before sign-off.
    • Assess data ingestion, schema integrity, feature engineering, and label quality for business alignment.
    • Evaluate model predictions, performance metrics, drift monitoring, downstream outputs, and GUI integration.
    • Document all findings, anomalies, and improvement opportunities.
    • Support development of dashboards and reports to track validation progress, outcomes, and risks.
    • Ensure every module is accurate, reliable, and business-aligned prior to deployment.

Required Skills and Qualifications

  • Master's degree in data science, statistics, computer science, or related field.
  • 4 to 6 years of experience in data science, model validation, and applied machine learning.
  • Proven expertise in Python, SQL, and ML frameworks (scikit-learn, TensorFlow, PyTorch).
  • Experience with QA and drift monitoring frameworks for ML models.
  • Familiarity with big data platforms and cloud ecosystems such as Databricks, Spark, Snowflake/AWS/Azure/GCP.
  • Strong communication skills to convey complex insights to both technical and business stakeholders.
  • Experience leading junior data scientists.
  • Detail-oriented with a structured approach to QA, documentation, reporting, and dashboarding.

About Us

We provide companies with innovative technology solutions for everyday business problems. Our passion is to help clients become intelligent, information-driven organizations, where fact-based decision-making is embedded into daily operations, which leads to better processes and outcomes. We combine strategic consulting services with growth-enabling technologies to evaluate risk, manage data, and leverage AI and automated processes more effectively.

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