Roles and Responsibilities-
- Design, develop, and deploy advanced AI models with a focus on generative AI, including transformer architectures (e.g., GPT, BERT, T5) and other deep learning models used for text, image, or multimodal generation.
- Work with extensive and complex datasets, performing tasks such as cleaning, preprocessing, and transforming data to meet quality and relevance standards for generative model training.
- Collaborate with cross-functional teams (e.g., product, engineering, data science) to identify project objectives and create solutions using generative AI tailored to business needs.
- Implement, fine-tune, and scale generative AI models in production environments, ensuring robust model performance and efficient resource utilization.
- Develop pipelines and frameworks for efficient data ingestion, model training, evaluation, and deployment, including A / B testing and monitoring of generative models in production.
- Stay informed about the latest advancements in generative AI research, techniques, and tools, applying new findings to improve model performance, usability, and scalability.
- Document and communicate technical specifications, algorithms, and project outcomes to technical and non-technical stakeholders, with an emphasis on explainability and responsible AI practices.
Qualifications Required
Educational Background : Bachelor's or Master's degree in Computer Science, Data Science, AI / ML, or a related field. Relevant Ph.D. or research experience in generative AI is a plus.Experience : 4 - 8 Years of experience in machine learning, with 2+ years in designing and implementing generative AI models or working specifically with transformer-based models.Skills and Experience Required
Generative AI : Transformer Models, GANs, VAEs, Text Generation, Image GenerationMachine Learning : Algorithms, Deep Learning, Neural NetworksProgramming : Python, SQL; familiarity with libraries such as Hugging Face Transformers, PyTorch, TensorFlowMLOps : Docker, Kubernetes, MLflow, Cloud Platforms (AWS, GCP, Azure)Data Engineering : Data Preprocessing, Feature Engineering, Data CleaningWhy you'll love working with us :
BRING YOUR PASSION AND FUN. Corporate culture woven from highly diverse perspectives and insights.BALANCE WORK AND PERSONAL TIME LIKE A BOSS. Resources and flexibility to more easily integrate your work and your life.BECOME A CERTIFIED 'SMARTY PANTS.' Ongoing training and development opportunities for even the most insatiable learner.START-UP SPIRIT (Good ten plus years, yet we maintain it)FLEXIBLE WORKING HOURSSkills Required
AI ML, Machine Learning, data engineering , MLops, Programming, Deep Learning