Gen AI Engineer

Position Overview

We are seeking a skilled Gen AI Engineer based in India to contribute to developing and optimizing generative AI technologies. The candidate will be responsible for managing data preparation and modeling tasks to build advanced multimodal AI systems while deploying AI applications on cloud platforms.

Key Responsibilities

• Prepare, clean, and augment datasets, including creating synthetic data, for training multimodal foundation models.
• Develop and refine large-scale generative models such as GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders).
• Work extensively on language modeling tasks including text generation, comprehension, and context understanding.
• Regularly fine-tune large language models to maintain accuracy and relevance for custom datasets.
• Build, deploy, and manage AI applications on leading cloud platforms including Azure, Google Cloud Platform, and AWS.
• Integrate AI models with enterprise datasets to enrich and enhance existing applications.
• Design backend services in Python or .NET to support AI-powered solutions, including those leveraging OpenAI or other large language model technologies.
• Develop and maintain AI pipelines ensuring efficiency and scalability.
• Utilize techniques such as chunking and embeddings while working with custom datasets to train and optimize models.
• Incorporate platform cognitive services like Azure Cognitive Services to extend AI capabilities.
• Collaborate with cross-functional teams for seamless AI solution deployment and integration.
• Ensure robustness, efficiency, and scalability of AI systems through best practices.
• Continuously update knowledge on emerging AI and machine learning developments.

Required Skills & Experience

• Strong foundation in machine learning, deep learning, and computer science.
• Expertise with generative AI frameworks and models including GANs, VAEs, and Transformer architectures.
• Familiarity with natural language processing (NLP) and computer vision technologies is advantageous.
• Proficient in advanced programming, especially Python and AI-related libraries such as TensorFlow, PyTorch, and Keras.
• Skilled in implementing and manipulating complex algorithms for generative AI model development.
• Experienced in NLP techniques including text parsing, sentiment analysis, and working with GPT-style transformer models.
• Experienced in data management tasks including preprocessing, augmentation, synthetic data creation, cleaning, and labeling to improve AI models.
• Proven ability to develop, deploy, and maintain AI models in production environments.
• Familiarity with cloud service providers (AWS, Azure, GCP) and containerization (Docker), along with orchestration tools such as Kubernetes.
• Capability to innovate and bring fresh solutions to client challenges.

Additional Information

• Location: Pan India, preferably Chennai, India.
• Experience range: 4 to 12 years with at least 2 years relevant experience in generative AI.
• Notice period: Immediate to 90 days.