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Intern to Hire AI and ML, MERN Stack on AWS at Innovon Technologies | jobskaguru.com
Intern to Hire AI and ML, MERN Stack on AWS
Innovon Technologies . Posted on 13 Mar 2024
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Last Date to Apply: 31 Jul 2024
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SKILLS REQUIRED
ReactJS Node.js MongoDB Machine Learning JavaScript Express.js Artificial intelligence Amazon Web Server (AWS)
Work Mode
Office
Work TYPE
Full Time
Exp. Required
Fresher
START Date
Immediately
Work Location
Hyderabad
NO. of Openings
1
Contract Based
No
INTERNSHIP DURATION
6 Month(s)
Stipend / Month
INR 10,000.00
PERKS
Internship Certificate
Flexible work hours
5 days a week
JOB SUMMARY

We are seeking a highly motivated and talented fresher intern to join our team and gain hands-on experience in the field of Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), (LLM) Large language models, and related technologies. The intern will work closely with our experienced team members and assist in various training and certification activities.
ROLES AND RESPONSIBILITIES

Responsibilities:

  • Learn and understand the fundamentals of AI, ML, NLP, and related technologies.
  • Assist in the development and implementation of AI and ML models.
  • Conduct research on state-of-the-art AI, ML, LLM, and NLP techniques.
  • Participate in the training and validation of ML models using appropriate tools and frameworks.
  • Assist in creating documentation and reports for the training and certification process.
  • Stay updated with the latest advancements and trends in AI, ML, NLP, LLM, and related fields.

Requirements:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or currently pursuing).
  • Strong knowledge of programming languages such as Python, Java, or C++.
  • Familiarity with machine learning libraries/frameworks such as TensorFlow, PyTorch, or sci-kit-learn.
  • Basic understanding of statistical concepts and algorithms.
  • Good understanding of techniques and tools.
  • Excellent problem-solving and analytical skills.
  • Strong communication and teamwork skills.
  • Ability to learn quickly and work in a fast-paced environment.
  • Prior experience with AI, ML, LLM, or NLP projects (academic or personal) is a plus.
  • Any relevant certifications in AI, ML, NLP, LLM, or related areas will be an advantage.

Qualification:

BTech (CSE, AIML) completed. 

Duration: The internship duration is 3- 6 months, with a possibility of full-time hire on performance and business needs.

Note : The internship is first 3 months is a free internship, next 3 months stipend will be provided.

Responsibilities:

  • Learn and understand the fundamentals of AI, ML, NLP, and related technologies.
  • Assist in the development and implementation of AI and ML models.
  • Conduct research on state-of-the-art AI, ML, LLM, and NLP techniques.
  • Participate in the training and validation of ML models using appropriate tools and frameworks.
  • Assist in creating documentation and reports for the training and certification process.
  • Stay updated with the latest advancements and trends in AI, ML, NLP, LLM, and related fields.

Requirements:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or currently pursuing).
  • Strong knowledge of programming languages such as Python, Java, or C++.
  • Familiarity with machine learning libraries/frameworks such as TensorFlow, PyTorch, or sci-kit-learn.
  • Basic understanding of statistical concepts and algorithms.
  • Good understanding of techniques and tools.
  • Excellent problem-solving and analytical skills.
  • Strong communication and teamwork skills.
  • Ability to learn quickly and work in a fast-paced environment.
  • Prior experience with AI, ML, LLM, or NLP projects (academic or personal) is a plus.
  • Any relevant certifications in AI, ML, NLP, LLM, or related areas will be an advantage.

Qualification:

BTech (CSE, AIML) completed. 

Duration: The internship duration is 3- 6 months, with a possibility of full-time hire on performance and business needs.

Note : The internship is first 3 months is a free internship, next 3 months stipend will be provided.
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