Gen AI/Senior Software Engineer

We are currently seeking an experienced professional to join our team in the role of Senior Software Engineer.

In this role, you will:

• Design, develop, and fine-tune Generative AI models (e.g., GPT, BERT, Stable Diffusion, etc.) for various use cases such as text generation, summarization, image generation, and more.
  
• Build and deploy scalable AI/ML pipelines using Python and frameworks like TensorFlow, PyTorch, or Hugging Face.
  
• Integrate Generative AI models into production systems and APIs for real-time or batch processing.
  
• Collaborate with cross-functional teams to identify AI use cases and deliver end-to-end solutions.
  
• Optimize model performance, reduce latency, and ensure scalability for production environments.
  
• Conduct research and stay updated on the latest advancements in Generative AI and machine learning.
  
• Work with large datasets, preprocess data, and ensure data quality for training and evaluation.
  
• Implement monitoring and logging for deployed AI models to ensure reliability and performance.
  
• Write clean, maintainable, and well-documented Python code for AI/ML projects.
  
• Programming: Strong proficiency in Python and experience with AI/ML libraries such as TensorFlow, PyTorch, or Hugging Face.
  
• Generative AI Expertise:Hands-on experience with Generative AI models like GPT, BERT, DALL-E, or Stable Diffusion.
  
• Machine Learning:Solid understanding of machine learning concepts, including supervised, unsupervised, and reinforcement learning.
  
• Data Handling:Experience with data preprocessing, feature engineering, and working with large datasets.
  
• APIs: Experience in building and deploying RESTful APIs or microservices for AI/ML model.
  
• Cloud Platforms: Familiarity with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.
  
• Version Control:Proficiency with Git and collaborative development workflows.
  
• Problem-Solving:Strong analytical and problem-solving skills with the ability to debug and optimize AI models.
• Communication:Excellent verbal and written communication skills to collaborate with technical and non-technical stakeholders.
  

Qualifications - External

To be successful in this role, you should meet the following requirements:To be successful in this role, you should meet the following requirements:

• Experience with fine-tuning and deploying Large Language Models (LLMs) like OpenAI GPT, Google T5, or similar.
  
• Knowledge of Natural Language Processing (NLP) techniques such as tokenization, embeddings, and transformers.
• Familiarity with MLOps tools and practices for model deployment, monitoring, and lifecycle management.
• Experience with containerization tools like Docker and orchestration platforms like Kubernetes.
• Understanding of ethical AI practices and bias mitigation in Generative AI models.
• Experience in AWS / Cloud Technologies
• Experience with banking systems
• Familiarity with AGILE and Sca