Machine Learning Engineer - R / Python

Description : We are seeking an experienced Machine Learning Engineer with strong expertise in Generative AI (GenAI) and payment data analytics to join our team. In this role, you'll work on large-scale credit card and UPI transaction data to identify use cases, develop PoCs, and build production-ready ML and GenAI solutions that unlock insights and drive innovation in payments.

Key Responsibilities :

Data Handling & Feature Engineering :

• Collect, preprocess, and analyze payment datasets (credit card, UPI) to extract meaningful features, including embeddings, time-series signals, and customer behavior patterns.

ML Model Development :

Apply and fine-tune OSS LLMs (e.g., Hugging Face Transformers, Llama, GPT-J, Falcon) for use cases such as :

Use metrics like AUC-ROC, precision, recall, and F1-score to evaluate models. Apply hyperparameter tuning and distributed training for performance improvement.

Deploy ML / GenAI models using tools like MLflow, Kubeflow, SageMaker, and Docker / Kubernetes. Set up real-time inference pipelines and monitor model drift and reliability in production.

Work with cross-functional teams (data scientists, engineers, product) to define requirements and deliver business-impacting solutions. Present findings to both technical and non-technical stakeholders.

Requirements :

(ref : hirist.tech)