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: 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.

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 Why you'll love working with us: ● Chance to work on technical challenges with global impact. ● Vast opportunities for self-development, including online university access and sponsored certifications. ● Sponsored Tech Talks & Hackathons to foster innovation and learning. ● Generous benefits package including health insurance, retirement benefits, flexible work hours, and more. ● Supportive work setting 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.

📌 Software Engineer - AI/ML (Hyderabad)
🏢 Fission Computer Labs Private
📍 Hyderabad