Ai Ml Engineer

• Lead the design, development, and deployment of AI/ML solutions for the lending and transaction banking businesses, focusing on high-impact areas like credit scoring, risk assessment, payment processing, and fraud detection.
  
• Architect and implement Deep Learning models using frameworks such as TensorFlow, PyTorch, and other modern ML libraries.
  
• Drive the development and optimization of NLP models and Large Language Models (LLMs) for applications like automated document processing, customer profiling, and customer interaction.
  
• Implement vision-based algorithms for document verification, KYC (Know Your Customer) processes, and transaction monitoring.
  
• Collaborate with business stakeholders to understand the business processes, define AI-driven features, and ensure smooth integration of machine learning models into the existing technology stack.
  
• Ensure best practices in machine learning lifecycle management, including model training, tuning, and deployment in enterprise environments.
  
• Guide  in managing the scalability, performance, and robustness of AI solutions, ensuring they meet the needs of enterprise software systems in transaction banking and lending.
  

Required Skills

•  6+ years of experience in developing and deploying AI/ML solutions, with at least 2 years of experience in enterprise software development.
  
• Expertise in Deep Learning frameworks like TensorFlow, PyTorch, and Keras.
  
• Strong proficiency in Java, Python, and related programming languages.
  
• In-depth understanding of Natural Language Processing (NLP), with experience working on LLMs (e.g., GPT models, BERT).
  
• Experience with vision-based algorithms and their application in real-world financial problems.
  
• Knowledge of business processes in the lending domain and transaction banking.
  
• Proven track record of building scalable and robust AI solutions in enterprise environments.
  
• Strong problem-solving skills, with the ability to adapt AI/ML approaches to rapidly evolving business needs
  

Preferred Qualifications:

• B.E/B.Tech from Tier 1 institute
  
• Previous experience in the lending, transaction banking, or fintech industries.
  
• Familiarity with enterprise software architecture and integration patterns, especially in the context of financial services.
  
• Hands-on experience with MLOps practices and tools for deploying and maintaining machine learning models in production.
  

Benefits

• Work at the cutting edge of AI/ML, focusing on lending and transaction banking use cases.
  
• Join a fast-paced, dynamic environment where you can drive innovation and deliver impactful AI solutions.
  
• Competitive salary and benefits, along with ample opportunities for professional growth.