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AI/ML Internship in Bangalore

Actively Reviewing the Applications

LivNSense GreenOps Private Limited

Kochi Full-Time
Posted 2 days ago Apply by June 11, 2026

Job Description

We are thrilled to offer an exciting internship opportunity at LivNSense for a talented individual with a passion for artificial intelligence (AI). As an AI intern, you will have the chance to work on cutting-edge projects and gain hands-on experience in a fast-paced environment. If you are proficient in AI, machine learning, Python, LLM evaluation, data structures, problem solving, deep learning, probability, data science, data analysis, communication skills, teamwork, and statistics, we want to hear from you!

Selected Intern's Day-to-day Responsibilites Include

  • Assist in developing and implementing AI models for various projects.
  • Conduct data analysis and evaluate performance using LLM evaluation techniques.
  • Collaborate with the team to optimize algorithms and improve overall efficiency.
  • Utilize your problem-solving skills to tackle complex AI challenges.
  • Work on deep learning projects and contribute to the advancement of AI technologies.
  • Apply statistical methods to analyze data and draw meaningful insights.
  • Communicate effectively with team members to ensure seamless workflow and project success.

About Company: LivNSense is a seed-funded product company that serves the manufacturing and production industries, with a primary focus on the continuous manufacturing and construction industry. Incubated in India with a global presence across India, the USA, and the UK and in strategic collaboration with leading IoT ecosystem partners. Within a short span of three years, the company has acquired a significant Fortune 500 customer base, with clear visibility of a solid pipeline of customers across India, the USA, and EMEA. The company is in pilot revenues and now in growth scaling mode, with a targeted income of $100M by FY-26. The company has successfully launched GreenOps, a Digital Twins Platform that enables cognitive functions for a cleaner, optimized, and streamlined production process, reducing the carbon footprint by 10% and improving EBITDA by 4% to 7%.

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