Software Engineer II

Job Description

hackajob is collaborating with American Express to connect them with exceptional tech professionals for this role. At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role? Responsible for contacting clients with overdue accounts to secure the settlement of the account. Also they do preventive work to avoid future overdues with accounts that have a high exposure. Bachelor?s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field. Minimum Qualifications Programming Languages Proficiency in Python (required). Familiarity with C++, Java, or Go is a plus. Machine Learning & Deep Learning Solid understanding of ML fundamentals (supervised/unsupervised learning, model evaluation, etc.). Experience with deep learning frameworks: PyTorch, TensorFlow, JAX, or Hugging Face Transformers. Generative AI Expertise Experience training or fine-tuning LLMs (e.g., GPT, LLaMA, Mistral) or diffusion models (e.g., Stable Diffusion, DALL?E). Knowledge of prompt engineering, retrieval-augmented generation (RAG), and vector databases (like FAISS, Pinecone, or Milvus). Data Handling Proficiency in data preprocessing, tokenization, and feature engineering for large-scale text or image data. Familiarity with data pipelines and frameworks like Apache Airflow or Kubeflow. MLOps / Infrastructure Understanding of model deployment, monitoring, and scaling in cloud environments (AWS, GCP, Azure). Familiarity with Docker, Kubernetes, and API deployment using FastAPI or Flask. Preferred Qualifications Ability to evaluate model performance using metrics (e.g., BLEU, ROUGE, perplexity). Knowledge of fine-tuning techniques, transfer learning, and reinforcement learning from human feedback (RLHF). Research-oriented mindset to explore new architectures and optimization methods. Benefits We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.