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
Skills:
- hive
- algorithms
- python
- natural language processing
- neural networks
- data pipeline
- machine learning
- data engineering
- artificial intelligence
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