Chief Data Model Architect

2 weeks ago


Mumbai, Maharashtra, India beBeeMachineLearning Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Lead Data Scientist

We are seeking a seasoned data scientist with over 5 years of experience to design, develop and deploy sophisticated data models and algorithms.

You will work closely with cross-functional teams to solve real-world problems using state-of-the-art machine learning and deep learning techniques.

Main Responsibilities:

  • Design, build, and optimize complex data models and pipelines for classification, regression, clustering, recommendation, and forecasting
  • Implement and fine-tune advanced deep learning models using frameworks like TensorFlow, PyTorch or Keras
  • Collaborate with stakeholders to understand business needs and convert them into technical solutions
  • Develop effective data preprocessing, feature engineering and model evaluation strategies
  • Build and deploy models into production using CI/CD practices and MLOps tools
  • Monitor model performance and retrain as necessary to ensure accuracy and reliability
  • Create and maintain technical documentation and provide knowledge sharing within the team
  • Stay updated on the latest research, tools and techniques in machine learning and AI

Required Skills & Qualifications:

  • 5+ years of experience in data science or related field
  • Proficiency in Python and ML libraries such as scikit-learn, pandas, NumPy, TensorFlow or PyTorch
  • Solid understanding of mathematics, statistics and ML/DL algorithms
  • Experience with end-to-end ML lifecycle from data collection and cleaning to model deployment and monitoring
  • Strong knowledge of SQL and working with large datasets
  • Experience deploying ML models on cloud platforms (e.g. AWS, Azure, GCP)
  • Familiarity with Docker, Kubernetes, MLflow or other MLOps tools
  • Good understanding of REST APIs, microservices and backend integration

Nice to Have:

  • Exposure to NLP, Computer Vision or Generative AI techniques
  • Experience with big data technologies like Spark, Hadoop or Hive
  • Working knowledge of data labeling, AutoML or active learning
  • Experience with feature stores, model registries or streaming data (Kafka, Flink)

Educational Qualification:

  • Bachelors or Masters degree in Computer Science, Data Science, Statistics, Applied Mathematics or related field
  • Additional certifications in AI/ML are a plus


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