Generative AI Engineer

This role is for one of the Weekday's clients

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

Min Experience: 7 years

Location: Bengaluru

JobType: full-time

We are seeking an experienced Generative AI Engineer to join our advanced AI team focused on building next-generation solutions leveraging generative models, computer vision, and cutting-edge machine learning technologies. This is a critical role that blends deep technical expertise with hands-on engineering to push the boundaries of what's possible with AI. You will work closely with data scientists, ML engineers, and product teams to develop scalable, production-ready systems that harness the power of Generative AI for real-world applications.

Requirements

Key Responsibilities

• Design, develop, and deploy Generative AI models (e.g., GANs, VAEs, diffusion models, LLMs) for diverse applications such as image synthesis, text generation, and content automation.
• Collaborate with cross-functional teams to integrate computer vision solutions with generative models for tasks such as object detection, segmentation, and image enhancement.
• Implement and fine-tune models using TensorFlow, PyTorch, and transformers architectures.
• Build robust data pipelines for model training and inference using PySpark, ETL workflows, and big data tools.
• Create APIs and backend services using Python and RESTful APIs to support seamless deployment and integration of ML models into production environments.
• Apply advanced techniques in Natural Language Processing (NLP) to support conversational AI, summarization, question answering, and more.
• Leverage Docker and Kubernetes for containerization and orchestration of scalable AI systems in cloud or hybrid environments.
• Ensure model reliability, reproducibility, and maintainability using CI/CD pipelines and version control systems.
• Optimize model performance and system latency for real-time applications.
• Conduct experiments, perform A/B testing, and continuously monitor performance metrics to drive model improvements.

Skills & Qualifications

• Bachelor's or Master’s degree in Computer Science, AI, Data Science, or a related field. A PhD is a plus.
• 7–10 years of industry experience in Machine Learning, Deep Learning, and AI model development.
• Proven expertise in Generative AI, Computer Vision, and Deep Learning techniques.
• Proficient in Python, with strong experience using Pandas, NumPy, and data preprocessing libraries.
• Hands-on experience with ML frameworks: PyTorch, TensorFlow, Hugging Face Transformers.
• Experience in building scalable data pipelines using ETL and PySpark.
• Familiarity with NoSQL databases (e.g., MongoDB, DynamoDB) for storing unstructured data.
• Experience deploying models in production using Docker, Kubernetes, and cloud-native services.
• Strong understanding of software engineering practices including CI/CD, testing, and code reviews.
• Experience working in agile teams and collaborating with product and engineering stakeholders.

Nice to Have

• Exposure to multimodal models combining text, image, and audio.
• Experience with prompt engineering and fine-tuning foundation models.
• Contributions to open-source AI projects or published research papers.