Data Scientist LLM
2 weeks ago
Job Title: Data Scientist LLM
Location: Bangalore
Experience: 2 - 8 years
Employment Type: Full Time
Job Description:
We are seeking a dynamic and experienced professional to join our team as a Data Scientist LLM. As a Data Scientist LLM, you will play a crucial role in leveraging artificial intelligence and cutting-edge technologies to drive innovation and enhance our organization's capabilities. This role requires a unique blend of technical expertise, strategic thinking, and a passion for exploring the limitless possibilities of artificial intelligence.
Responsibilities:
1. AI Strategy and Implementation:
- Develop and implement AI strategies aligned with the organization's goals.
- Collaborate with cross-functional teams to integrate AI solutions into existing systems and processes.
2. Machine Learning and Deep Learning:
- Design, develop, and deploy machine learning and deep learning models.
- Stay abreast of the latest advancements in AI and ensure the integration of emerging technologies.
3. Data Analysis and Interpretation:
- Analyze large datasets to derive meaningful insights and trends.
- Work closely with data scientists to refine models based on real-world performance.
4. Natural Language Processing (NLP) and Computer Vision:
- Apply NLP techniques for language understanding and generation.
- Implement computer vision algorithms for image and video analysis.
5. Collaboration and Knowledge Sharing:
- Collaborate with cross-functional teams to identify AI opportunities in various business domains.
- Conduct knowledge-sharing sessions to empower team members with AI concepts and applications.
6. Continuous Improvement:
- Proactively identify areas for improvement in existing AI systems.
- Implement enhancements to optimize AI models for performance and efficiency.
Qualifications:
1. Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
2. Proven experience in AI-related roles with 4-8 years of hands-on experience.
3. Strong proficiency in programming languages such as Python, Java, or C++.
4. Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries.
5. Practical experience in deploying AI models in production environments.
6. Solid understanding of NLP, computer vision, and other AI-related domains.
7. Excellent problem-solving and critical-thinking skills.
8. Strong communication and collaboration skills.
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