Data Scientist
2 weeks ago
**Data Scientist**
**Key Responsibilities**:
- Develop and implement NLP solutions for text analysis, sentiment analysis, and language understanding.
- Utilize Python programming for data manipulation, model building, and data visualization tasks.
- Collaborate with cross-functional teams to integrate data science solutions into cloud environments, leveraging AWS and Azure services.
- Ensure seamless deployment of models and maintain model performance through effective monitoring and management.
- Contribute to the development and implementation of best practices for MLOps, ensuring scalability and reliability of machine learning models.
- Provide technical guidance and mentorship to junior team members, fostering a culture of continuous learning and development.
**Qualifications and Skills**:
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related field.
- Proven experience in AI, machine learning, deep learning, and NLP techniques.
- Proficiency in Python and its associated libraries (such as NumPy, Pandas, Scikit-learn, TensorFlow, and Keras).
- Strong knowledge of cloud computing platforms, particularly AWS and Azure.
- Familiarity with CI/CD practices and tools, along with experience in DevOps methodologies.
- Hands-on experience in model deployment and management in production environments.
- Expertise in implementing and maintaining MLOps best practices for scalable and reliable machine learning models.
- Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
- Strong problem-solving abilities and a passion for continuous learning and development in the field of data science and AI.
**Location
- Vesu, Surat, Gujarat.**
**Working hours
- 9:30 AM to 5:30 PM**
**Working days
- Monday to Friday**
**Work mode
- Work from office**
**Salary**: ₹40,000.00 - ₹60,000.00 per month
**Benefits**:
- Commuter assistance
- Leave encashment
Schedule:
- Day shift
**Experience**:
- Data scientist: 2 years (preferred)
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