Global Pharma Tek Hiring Drive 2024 For Data Science Engineer | Location Bengaluru

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Global Pharma Tek Hiring Drive 2024: Global Pharma Tek Hiring Drive 2024 for its Data Science Engineer. Global Pharma Tek Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a B.E/B.Tech degree. if you are interested, please apply as soon as possible.

Company Name: Global Pharma Tek

Role: Data Science Engineer

Location: Bengaluru

Experience: 1 – 4 years

Qualification: B.E/B.Tech

Batch: Any

Job Type: Full Time

Salary: Best in Industry

Global Pharma Tek Hiring Drive 2024

Job Description:

  • Global Pharma Tek is looking for Data Science Engineer to join our dynamic team and embark on a rewarding career journey
  • Data Exploration and Preparation:Explore and analyze large datasets to understand patterns and trends
  • Prepare and clean datasets for analysis and model development
  • Feature Engineering:Engineer features from raw data to enhance the performance of machine learning models
  • Collaborate with data scientists to identify relevant features for model training
  • Model Development:Design and implement machine learning models to solve business problems
  • Work on both traditional statistical models and modern machine learning algorithms
  • Scalable Data Pipelines:Develop scalable and efficient data pipelines for processing and transforming data
  • Utilize technologies like Apache Spark for large-scale data processing
  • Model Deployment:Deploy machine learning models into production environments
  • Collaborate with DevOps teams to integrate models into existing systems
  • Performance Optimization:Optimize the performance of data pipelines and machine learning models
  • Fine-tune models for accuracy, efficiency, and scalability
  • Collaboration:Collaborate with cross-functional teams, including data scientists, software engineers, and business stakeholders
  • Communicate technical concepts and findings to non-technical audiences
  • Continuous Learning:Stay current with advancements in data science and engineering
  • Implement new technologies and methodologies to improve data engineering processes


  • hive
  • algorithms
  • python
  • natural language processing
  • neural networks
  • data pipeline
  • machine learning
  • data engineering
  • artificial intelligence

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