Gen AI Intern

*Only Immediate Joiners are Preffered* Job Description: As a GenAl Intern, you will work on developing and fine-tuning advanced Al models, exploring Generative Al (GenAl), Large Language Models (LLMs), Deep Learning, and Computer Vision applications. You will gain hands-on experience with state-of-the-art Al tools and frameworks while working alongside experienced Al professionals. Key Responsibilities: Work on Generative Al models, fine-tuning pre-trained LLMs (eg, GPT, BERT, LLAMA). limplement and optimize Deep Learning and Computer Vision models. Utilize TensorFlow, PyTorch, Hugging Face Transformers, LangChain, and related frameworks. Develop and train models for Object Detection and Image Recognition using YOLO, OpenCV. Conduct research and experiment with prompt engineering and model optimization techniques. Collaborate with the development team to integrate Al models into real-world applications. Who Can Apply? We are looking for candidates who: Are available for a 6-month internship. Have completed projects in GenAl, Deep Learning, and Computer Vision. Have a strong understanding of LLMs, Transformers, NLP, and Image Processing. Are proficient in Python, TensorFlow, PyTorch, and OpenCV Are passionate about Al arid eager to learn and innovate. Perks & Benefits: Certificate & Letter of Recommendation upon completion. Flexible Work Hours-Work at your convenience. Exposure to Cutting Edge Al Technologies Collaborative Learning Environment with industry experts. Mode: Work from the office Industry: IT Services and IT Consulting Address: Ai India Innovations, Office no.405, Above Just In Time, Landmark Centre, Survey No 46/1B, Plot No 2, Satara Rd, Opposite City Pride Theater, Pune, Maharashtra-411009 https://maps.app.goo.gl/sES1ky6SiFVVeXRG7?g_st=ac Job Types: Full-time, Internship Contract length: 6 months Pay: ₹5,000.00 - ₹7,000.00 per month Schedule: Day shift Experience: Deep learning: 1 year (Required) Computer vision: 1 year (Required) Location: Pune, Maharashtra (Required) Work Location: In person