Applied ML Engineer

Role Overview: At 4CRisk.ai Software Private Ltd., we are seeking a ML Lead / Architect who is enthusiastic about working in the areas of machine learning, natural language processing, information extraction, graph models, and AI architectures. As part of our team, you will be responsible for the entire solution lifecycle, custom training and fine-tuning of ML models, building ML pipelines, and optimizing ML algorithms to fit into compute/application constraints. Key Responsibilities: - Responsible for the entire solution lifecycle including data collation, solution development, key metrics, and validation - Custom training and fine-tuning of ML models - Building ML pipelines for multi-step solutioning - Optimizing ML algorithms/workflows to fit into compute/application constraints, such as model distillation and training custom models for performance improvements Qualifications Required: - Passion for cognitive architectures - Experience in AI, NLP, ML, Optimization, or equivalent related fields - Hands-on experience with various ML algorithms and tools like Scikitlearn, PyTorch, Tensorflow, Deep Learning, Transformers - Proficiency in REST API development and creation/enabling of Microservices (AIaaS) Additional Details: 4CRisk is an AI start-up focused on solving the annual $300 billion Risk and Compliance problem for banks, non-bank financial institutions, and FinTech companies. Our customer-centric approach aims to protect brand value and strengthen revenues by reducing risk and compliance costs. We believe in a culture that trumps aptitude, and we are looking for bright and passionate candidates to join our team in Bangalore, India.,