This role is for one of the Weekday's clients

Salary range: Rs 2800000 - Rs 3800000 (ie INR 28-38 LPA)

Min Experience: 6 years

Location: Bangalore

JobType: full-time

We are seeking a highly skilled and experienced Generative AI Engineer to join our innovative AI team. The ideal candidate will have strong expertise in building and deploying state-of-the-art generative AI models, with a focus on computer vision and natural language processing (NLP). You will work on cutting-edge projects involving large language models (LLMs), advanced neural network architectures, and real-world AI applications. This is a fantastic opportunity to shape the future of AI-driven solutions in a dynamic, fast-paced environment.

Requirements

Key Responsibilities:

• Design, develop, and optimize generative AI models, focusing on both computer vision and NLP domains.
• Build and fine-tune large language models (LLMs) using frameworks such as PyTorch and TensorFlow.
• Implement and improve deep learning architectures leveraging Keras for rapid prototyping and deployment.
• Apply OpenCV techniques for image and video processing tasks integrated into AI pipelines.
• Develop and deploy NLP solutions including text generation, summarization, sentiment analysis, and dialogue systems.
• Collaborate with cross-functional teams including data scientists, software engineers, and product managers to deliver scalable AI products.
• Perform research and stay updated with the latest advancements in generative models, transformer architectures, diffusion models, and GANs.
• Optimize models for performance and efficiency on cloud or edge environments.
• Write clean, modular, and reusable code with proper documentation and testing.
• Mentor junior engineers and lead technical discussions to foster a culture of innovation.

Required Skills and Experience:

• 6 to 11 years of professional experience in AI/ML engineering with a strong focus on generative AI technologies.
• Expert-level proficiency with PyTorch and TensorFlow frameworks for building complex neural networks.
• Hands-on experience with Keras for designing and implementing deep learning models.
• Strong background in Computer Vision, including image processing, object detection, segmentation, and video analysis using OpenCV.
• Demonstrated expertise in Large Language Models (LLMs) such as GPT, BERT, T5, or similar architectures. Experience fine-tuning and deploying these models in production environments is essential.
• Solid understanding of Natural Language Processing (NLP) techniques like tokenization, embedding, sequence-to-sequence models, and transformer-based architectures.
• Proven ability to work with large datasets, preprocess data efficiently, and handle real-world noisy data.
• Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) for model deployment is a plus.
• Strong programming skills in Python and experience with ML libraries and tools.
• Excellent problem-solving skills and a passion for research and innovation in AI.

Preferred Qualifications:

• Master’s or PhD degree in Computer Science, AI, Machine Learning, or a related field.
• Published research or contributions to open-source AI projects related to generative models or computer vision.
• Experience working in agile teams and collaborating in fast-paced startup or product-driven environments.