Website:
betasys.ai
Job details:
Company Description
Betasys.ai Private Limited is dedicated to revolutionizing businesses through innovative AI-driven solutions. Specializing in intelligent automation, predictive analytics, and next-gen software development, the company empowers clients to enhance productivity and gain a competitive edge in the dynamic digital landscape. As an NVIDIA Inception Program partner and a member of the AWS Partner Network, BetasysAI provides cutting-edge tools and customized AI solutions to meet diverse business needs. The company is committed to fostering innovation and enabling long-term success for its clients.
Role Description
This is a full-time on-site role based in Nagpur for an AI/ML Intern specializing in Generative AI. The intern will collaborate with the team to develop, train, and implement AI/ML models, contribute to data preprocessing and algorithm design, and assist in creating innovative solutions for client projects. Responsibilities include researching the latest advancements in generative AI technologies, optimizing models for performance, and contributing to impactful real-world applications.
Qualifications
- Strong foundation in programming languages such as Python, and experience with ML frameworks like TensorFlow or PyTorch.
- Knowledge of core AI/ML principles, including supervised/unsupervised learning, NLP, and generative modeling.
- Experience with data preprocessing, data visualization techniques, and working with structured and unstructured data.
- Proficiency in algorithm design, mathematics for ML (linear algebra, calculus, probability), and performance optimization.
- Strong problem-solving skills, critical thinking ability, and enthusiasm for learning new technologies.
- Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical field (enrolled or recently graduated).
- Prior project experience with Generative AI or similar technologies is a plus.
- Excellent communication skills and the ability to work collaboratively within a team environment.
Click on Apply to know more.