*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
Job description *Immediate Joiners preferred* We at Ai India Innovation Center have a good opportunity for, a self-driven and creative WordPress Developers to join our team. The key responsibility of the WordPress interns will be creating websites for the AIIC & their clients. Key Skills: WordPress, CSS, HTML, and Digital Marketing Responsibilities & Duties: This is a full-time on-site role for a WordPress Developer located in Pune. As a WordPress Developer, you will be responsible for back-end web development, front-end development, responsive web design, and web design. You will work collaboratively with our team to create and maintain websites, ensuring they are user-friendly and visually appealing. You will also be responsible for troubleshooting and optimizing website performance. The following are your responsibilities: Work on WordPress Website, Elementor Work, and Woo Commerce, and Resize/edit Images for the web. Work on different plugins on WordPress, WordPress theme. Working on HTML, CSS, Bootstrap, PHP, and WordPress Working on the development of the projects assigned by the company. Analyzing architecture and code. Customizing existing projects. Working with the client until completion of the project. Qualifications : Proficiency in back-end web development, front-end development, and web design Experience in responsive web design and web development Strong knowledge of WordPress CMS Understanding of SEO principles and best practices Excellent problem-solving and analytical skills Ability to work independently and collaboratively in a team Bachelor's degree in Computer Science, Engineering, or a related field Location: Pune 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 Type: Full-time Pay: ₹14,000.00 - ₹17,000.00 per month Schedule: Day shift Experience: WordPress: 2 years (Required) Digital marketing: 2 years (Required) Video editing: 1 year (Required) Location: Pune, Maharashtra (Required) Work Location: In person Expected Start Date: 01/07/2025
**Job Description:** As a GenAl Intern, you will be responsible for developing and fine-tuning advanced Al models, focusing on Generative Al (GenAl), Large Language Models (LLMs), Deep Learning, and Computer Vision applications. You will have the opportunity to work with state-of-the-art Al tools and frameworks alongside experienced Al professionals. **Key Responsibilities:** - Work on Generative Al models and fine-tune pre-trained LLMs such as GPT, BERT, LLAMA. - Implement and optimize Deep Learning and Computer Vision models. - Utilize frameworks like TensorFlow, PyTorch, Hugging Face Transformers, LangChain, and related tools. - Develop and train models for Object Detection and Image Recognition using YOLO and 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. **Qualifications Required:** - Available for a 6-month internship. - Completed projects in GenAl, Deep Learning, and Computer Vision. - Strong understanding of LLMs, Transformers, NLP, and Image Processing. - Proficiency in Python, TensorFlow, PyTorch, and OpenCV. - Passionate about Al and 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. *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 *Job Types*: Full-time, Internship *Contract Length*: 6 months *Schedule*: Day shift *Experience*: - Deep learning: 1 year (Required) - Computer vision: 1 year (Required) *Location*: Pune, Maharashtra (Required) *Work Location*: In person,