Develop and implement generative AI models, applying deep learning techniques such as GPT, VAE, and GANs to solve business problems.
Collaborate with cross-functional teams to understand business challenges, develop hypotheses, and test them with data to drive informed decisions.
Conduct ongoing research to stay updated with advancements in generative AI, machine learning, and deep learning, integrating innovative solutions into products and services.
Optimize existing generative AI models for enhanced performance, scalability, and efficiency.
Lead the design and development of prompt engineering strategies to maximize GenAI model outputs and capabilities.
Implement cutting-edge NLP techniques and prompt engineering methodologies for conversational AI, speech, and voice applications.
Ensure data quality and accuracy in AI model training and deployment.
Work with cloud-based platforms such as AWS, Azure, or GCP for deploying AI/ML applications and solutions.
Develop clear and concise technical documentation, user guides, and presentations for diverse stakeholders.
Contribute to establishing best practices and standards for generative AI development within the organization.

Professional & Technical Skills

Solid experience in developing and implementing generative AI models with strong knowledge of deep learning techniques (GPT, VAE, GANs).
Proficiency in Python programming and experience with ML libraries/frameworks like TensorFlow, PyTorch, or Keras.
Strong understanding of data structures, algorithms, and software engineering principles.
Experience with cloud platforms such as AWS, Azure, or GCP.
Familiarity with NLP tools and libraries like SpaCy, NLTK, or Hugging Face.
Knowledge of data visualization tools such as Matplotlib, Seaborn, or Plotly.
Experience with Agile or Scrum software development methodologies.
Excellent problem-solving, critical thinking, and creative skills.
Strong communication skills to convey complex AI concepts effectively to technical and non-technical audiences.

Additional Information

Minimum 3 years of experience as an AI/ML Engineer with focus on generative AI models.
Degree in Computer Science, Artificial Intelligence, Machine Learning, or related field; Ph.D. highly desirable.
Ability to work proactively both independently and collaboratively in a fast-paced environment.
Experience handling diverse data formats through omni-channel approaches for speech and voice applications is a plus.

AI / ML Engineer