Senior Data Scientist

20 hours ago

Hyderabad, Telangana, India People Prime Worldwide Full time

Job Details:

Exp : 4 to 6 Years

NP : 0 to 30 Days

Loc : Hyderabad

Job Summary

We are looking for a highly skilled Senior Data Scientist with strong expertise in PySpark, Machine Learning, and Big Data technologies to design, build, and deploy production-grade machine learning solutions. The ideal candidate will have hands-on experience working with cloud platforms and MLOps practices in real-world environments.

Key Responsibilities

  • Design, develop, and deploy scalable machine learning models for production use
  • Work extensively with PySpark and Apache Spark for large-scale data processing
  • Build and optimize end-to-end ML pipelines on cloud platforms
  • Apply advanced statistical, machine learning, and deep learning techniques
  • Develop and maintain production-grade ML systems
  • Collaborate with data engineers, software engineers, and business stakeholders
  • Implement MLOps/DevOps practices including CI/CD pipelines
  • Monitor, evaluate, and improve model performance in production

Required Skills

  • Strong proficiency in Python & PySpark
  • Solid understanding of Machine Learning & Statistics
  • Hands-on experience with Apache Spark, Hadoop, Kafka
  • Experience with Big Data platforms: AWS / Google Cloud / Azure / Oracle Cloud

  • Expertise in ML techniques:

  • Tree-based models (XGBoost, Random Forest, LightGBM)

  • Deep Learning (CNNs, RNNs, GNNs, Transformers)

  • Reinforcement Learning and Unsupervised Learning

  • Experience in building production-ready ML models

  • Knowledge of MLOps / DevOps tools: Docker, Kubernetes, CI/CD
  • Familiarity with TensorFlow / PyTorch / Scikit-learn

Qualifications

  • Bachelors or Masters degree in a STEM discipline
  • 4 to 6 years of experience as a Data Scientist or ML Engineer
  • Proven track record of delivering ML solutions in production

Preferred Skills (Good to Have)

  • Experience with MLflow, Kubeflow
  • Cloud certifications (AWS/GCP/Azure)
  • Experience working in Agile/Scrum teams

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