Data Scientist

2 weeks ago

Bengaluru Karnataka, India Gray Matter Full time

**Experience**: 5+ years

**Role**:Permanent

**Location**: Bangalore, INDIA

**Key Responsibilities**:

- Model Development: Design and implement ML models to tackle complex business challenges.
- Data Preprocessing: Clean, preprocess, and analyze large datasets for meaningful insights and model features.
- Model Training: Train and fine-tune ML models using various techniques including deep learning and ensemble methods.
- Evaluation and Optimization: Assess model performance, optimize for accuracy, efficiency, and scalability.
- Deployment: Deploy ML models in production, monitor performance for reliability.
- Collaboration: Work with data scientists, engineers, and stakeholders to integrate ML solutions.
- Research: Stay updated on ML/AI advancements, contribute to internal knowledge.
- Documentation: Maintain comprehensive documentation for all ML models and processes.

**Must Have**:

- Education: Bachelor’s, Master’s, or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field.
- Professional Experience: Full-stack Data Scientist with a track record in ML model development and deployment in production. Experienced in architecting solutions with CI/CD processes.
- Proficiency: Proficiency in programming languages, Python is a must know. Proficient in Azure Databricks.
- Data Science Skills: Experience in data preprocessing, feature engineering, model building and model evaluation.
- Cloud and Containerization: Knowledge of cloud platforms and familiarity with containerization technologies, such as Docker.
- Software Development Practices: Familiarity with software development practices, version control, and agile methodologies.
- Distributed Computing: Familiarity with distributed in-memory computing technologies.

**Good to Have**:

- Experience with Big Data and analytics using technologies like Hadoop, Spark, etc.
- Proficient in Spark, familiar with deep learning frameworks like TensorFlow, PyTorch, etc
- Additional experience or knowledge in AI/ML technologies beyond the mentioned frameworks.
- Enhanced expertise in SQL.

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