Generative AI Engineer

Job Title: Generative AI Engineer Location: Gurgaon, India Job Type: Full-Time About the Role: We are seeking a highly skilled Generative AI Engineer to join our Gurgaon team to drive the development of advanced data modelling and AI-driven applications. This role will focus on designing, implementing, and fine-tuning data generation models that replicate complex real-world data patterns across structured and unstructured data types. You will work extensively with generative AI techniques, including large language models (LLMs), to create privacy-centric solutions, helping to unlock insights from sensitive data while preserving privacy and security. As a key contributor, you’ll collaborate with data engineers, product managers, and privacy experts to innovate and deliver impactful AI-driven solutions. Key Responsibilities: 1.Develop and Optimize Generative AI Models: ● Design, implement, and refine deep learning models such as conditional GANs, (cGANs) , variational autoencoders (VAEs) , and transformer-based models to simulate real-world data patterns across structured, unstructured, and time-series data. ● Implement and manage large language models (LLMs) , including GPT and BERT-based architectures , for generating, augmenting, and transforming textual data to meet specific domain requirements, ensuring data security and compliance. ● Lead research and development in privacy-preserving generative models , including differential privacy techniques and federated learning frameworks to support secure, decentralized data generation across diverse use cases. 2.Fine-Tuning LLMs for Customized Applications: ● Apply fine-tuning techniques to adapt LLMs for specific business needs, such as NLP data augmentation, domain-specific language generation , and contextual AI tasks , enabling responsive data solutions for finance, healthcare, and technology sectors. ● Experiment with transformer models and innovative LLM techniques like prompt engineering to create domain-adapted AI applications, enhancing model accuracy and performance across different use cases. 3.Incorporate Advanced Generative Techniques: ● Leverage emerging techniques, such as Diffusion Models (DDPM), Neural ODEs , etc. ● Implement transfer learning and domain adaptation methodologies to adapt existing models to new domains, enhancing model applicability and robustness. 4.Model Validation, Quality Control, and Privacy Compliance: ● Develop and implement robust validation protocols to assess model quality, fidelity, and privacy standards, including privacy leakage testing, data fidelity scoring , and membership inference testing. ● Ensure that all models and generated data meet compliance standards, such as GDPR and HIPAA , by embedding privacy-preserving mechanisms into the model training and validation process. ● Conduct continuous model validation to ensure outputs align with industry benchmarks while addressing privacy regulations specific to high-compliance sectors like finance and healthcare. 5.Collaborate on Product Development and Strategy: ● Work closely with product managers, privacy experts, and software engineers to shape and refine our AI-driven solutions, ensuring alignment with strategic business objectives and compliance requirements. ● Provide technical leadership in generative AI advancements, sharing insights on LLM developments and model implementation best practices to junior data scientists and engineers. Required Skills and Qualifications: 1.Educational Background: ● Bachelor’s or Master’s degree in Data Science, Machine Learning, Artificial Intelligence, or a related field. 2. Experience: ● 5+yearsin data science , with 3+ years focused on generative AI and LLM development . ● Proven experience in developing, deploying, and fine-tuning generative AI models, particularly in sensitive data applications. 3. Technical Skills: ● Machine Learning and Deep Learning Expertise: Proficiency with TensorFlow, PyTorch , and other machine learning frameworks. ● Generative AI and LLM Knowledge: Advanced knowledge of GANs, VAEs, transformer architectures , and privacy-preserving AI techniques. ● Programming Skills: Strong proficiency in Python, with experience in data processing libraries like Pandas and NumPy. ● Cloud Infrastructure: Experience with cloud platforms (AWS, Azure, GCP) for scalable deployment and secure model processing. 4.Preferred Qualifications: ● PhD in a relevant field with research in generative AI, large language models, or privacy-preserving machine learning. ● Publications or patents in LLMs, generative AI, or privacy-preserving data solutions. ● Domain Experience: Knowledge of privacy and compliance requirements within finance, healthcare, or other regulated industries. Application Process: Interested candidates can apply by sending a resume and cover letter to hr@aaizeltech.com and anima@aaizeltech.com . This role offers a unique opportunity to drive innovation in AI and privacy-centric data solutions for highly sensitive domains. Join us in Gurgaon to build the future of secure, AI-powered data applications Join us to make a tangible impact in the world of robust, high-precision wireless solutions !