Answer Junction Llc Internship 2024: Answer Junction Llc Internship 2024 for its Data, Analytics Intern. Answer Junction Llc Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Pursuing a degree in Computer Science, Data Science, Engineering, or a related field. if you are interested, please apply as soon as possible.
Company Name: Answer Junction Llc
Role: Data, Analytics Intern
Location: Across India
Experience: 0 – 1 years
Qualification: Pursuing a degree in Computer Science, Data Science, Engineering, or a related field.
Batch: Any
Job Type: Full Time
Salary: Best in Industry
Answer Junction Llc Internship 2024
Job Description:
- Position Overview: We are seeking a highly motivated and talented AI & ML Intern to join our team and assist in the development and implementation of AI-driven solutions.
- This internship offers a unique opportunity to gain hands-on experience in leveraging AI and ML techniques to solve real-world healthcare challenges.
Requirements:
- Have a degree or Pursuing a degree in Computer Science, Data Science, Engineering, or a related field.
- Strong proficiency in Python programming and SQL database management.
- Familiarity with AI and ML concepts and algorithms, demonstrated through coursework, projects, or relevant experience.
- Exposure or experience with AI techniques such as deep learning, reinforcement learning, or generative adversarial networks is a plus.
- Passion for healthcare and a desire to apply AI/ML to address challenges in the industry.
- Excellent problem-solving skills, analytical thinking, and attention to detail.
- Ability to work independently as well as collaboratively in a fast-paced, dynamic environment.
- Strong communication skills and the ability to convey technical concepts effectively.
Responsibility:
- Collaborate with cross-functional teams to understand business requirements and develop AI/ML models that address healthcare-related problems.
- Assist in data collection, preprocessing, and feature engineering to prepare datasets for analysis and modeling.
- Build and train predictive models using Python and popular ML libraries such as TensorFlow, PyTorch, or scikit-learn.
- Implement data pipelines and workflows, incorporating SQL for data retrieval and manipulation.
- Explore and experiment with advanced AI techniques, including deep learning, natural language processing, and computer vision.
- Contribute to the design and evaluation of algorithms, conducting experiments and analyzing results to improve model performance.
- Stay current with emerging trends and technologies in AI, ML, and healthcare to inform project development and decision-making.
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