AI/ML Engineer

**Key Responsibilities:

• Lead the design, development, and deployment of AIML 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,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.

  Requirements

  Required Skills

  • 6+ years of experience in developing and deploying AIML 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 AIML approaches to rapidly evolving business needs.

    Preferred Qualifications:

    • B.EB.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

      **Why Join Us

      • Work at the cutting edge of AIML, 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.****