Data Scientist Intern
2 weeks ago
**Company Overview**:
**Internship Description**:
**Key Responsibilities**:
- Work with machine learning algorithms to optimize the performance of AI models.
- Contribute to fine-tuning pre-trained models for specific industry use cases.
- Help in developing AI-driven chatbots that offer intelligent and context-aware user interactions.
- Assist with the integration of chatbots into multiple platforms, ensuring seamless user experiences.
- Participate in testing and improving chatbot capabilities based on user feedback.
- Collaborate with cross-functional teams to gather requirements and convert them into technical specifications.
- Assist in building and maintaining scalable data pipelines for training and deploying AI models.
- Conduct performance evaluations and monitor AI models in production environments.
- Stay updated with the latest research and advancements in AI, machine learning, and generative AI.
**Required Qualifications**:
- Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Familiarity with AI concepts, machine learning, and generative AI techniques.
- Basic knowledge of Python and machine learning frameworks like TensorFlow or PyTorch.
- Understanding of natural language processing (NLP) techniques, especially in the context of chatbots.
- A strong desire to learn, contribute, and grow in AI and machine learning technologies.
- Good communication skills and ability to work collaboratively in a team environment.
- Ability to adapt to a fast-paced environment and take on challenging tasks.
**What You Will Gain**:
- Hands-on experience working with state-of-the-art generative AI technologies.
- Exposure to real-world AI projects and practical challenges in the field.
- Mentorship from experienced AI professionals.
- The opportunity to contribute to impactful projects and innovative AI solutions.
- A certificate of completion and a letter of recommendation based on performance.
**Job Type**: Internship
Schedule:
- Day shift
- Fixed shift
**Experience**:
- total work: 1 year (preferred)
Work Location: In person
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