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.
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Qualifications Required
Educational Background: Bachelors or Masters 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: 2-5 years of experience in machine learning, with 2+ years in designing and implementing generative AI models or working specifically with
transformer-based models.
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Skills and Experience Required
Generative AI: Transformer Models, GANs, VAEs, Text Generation, Image Generation
Machine Learning: Algorithms, Deep Learning, Neural Networks
Programming: Python, SQL; familiarity with libraries such as Hugging Face Transformers, PyTorch, TensorFlow
MLOps: Docker, Kubernetes, MLflow, Cloud Platforms (AWS, GCP, Azure)
Data Engineering: Data Preprocessing, Feature Engineering, Data Cleaning
Opportunity to work on technical challenges with global impact.
Sponsored Tech Talks & Hackathons to foster innovation and learning.
Generous benefits package including health insurance, retirement benefits, flexible work hours, and more.
Supportive work environment with forums to explore passions beyond work.
This role presents an exciting opportunity for a motivated individual to contribute to the development of cutting-edge solutions while advancing their career in a dynamic and collaborative environment.
Keyskills: Azure GCP AWS T5 Cloud Platforms MLOps Docker MLflow GPT BERT Kubernetes
Fission Labs is a Software Product Development & Services company delivering high-end solutions primarily in the areas of highly scalable cloud applications and analytics for large sets of data. Few of the challenges we are working on are scaling an application to support 150 million users, real-tim...