Generative AI Engineer - Briskwin

Location: Gurgaon, India Job Type: Full-Time About the Role:

Generative AI Engineer

Key Responsibilities:

• Develop and Optimise 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, decentralised data generation across diverse use cases.

• 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.

• 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.

• 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.

• 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:

• Educational Background

  : Bachelor s or Master s degree in Data Science, Machine Learning, Artificial Intelligence, or a related field.

• Experience

  :

• 5+ years in 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.

• Technical Skills

  :

• Machine Learning and Deep Learning Expertise

  : Proficiency with

TensorFlow

• 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.

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.