onsite
Machine Learning Engineer
Machine Learning Engineer
Deloitte is seeking a Machine Learning Engineer with 8-10 years of experience in Generative AI and Machine Learning, specifically within the payments domain. The role involves developing and deploying ML and GenAI models, utilizing various programming languages, frameworks, and foundational models, particularly for payment data use cases.
About the role
About the Role
Deloitte is looking for an experienced Machine Learning Engineer with 8-10 years of experience in Generative AI/Machine Learning Engineering and Payments. This full-time, onsite role is based in Chennai, Tamil Nadu, India.
Requirements
- Bachelor’s or master’s degree in computer science, engineering, mathematics, statistics, or a related field.
- 8–10 years of proven experience as a Machine Learning Engineer, Data Scientist, or similar role.
- Strong knowledge of machine learning, statistics, and data science concepts and techniques.
- Proficient in programming languages such as Python, R, and Java.
- Experience with data processing tools like SQL, Spark, and Hadoop.
- Proficient in using frameworks like TensorFlow, PyTorch, Scikit-learn, Hugging Face Transformers, and other OSS LLMs.
- Hands-on experience with foundational models, such as BERT, GPT, T5, and Vision Transformers (ViT).
- Experience with credit card and UPI payment data use cases (e.g., fraud detection, transaction risk assessment, customer analytics) is a plus.
- Experience fine-tuning and deploying OSS LLMs for specific tasks such as text summarization, synthetic data generation, and NLP applications in payments.
- Familiarity with frameworks/tools like Hugging Face, LangChain, and LlamaIndex.
- Hands-on experience deploying ML and GenAI models in production environments with tools like MLflow, Kubeflow, Docker, and Kubernetes.
- Excellent communication and presentation skills, with the ability to explain complex concepts.