Data Scientist/ Machine Learning Engineer

• Understand business and product needs and use classical ML methods or advanced AI techniques to solve them at scale.
• Design, train, and fine-tune machine learning models for information extraction, and evaluate model performance using relevant metrics and iteratively improve the models.
• Communicate and collaborate with engineering/cross-functional teams to implement a feedback mechanism to optimize the models by training, tuning and evaluating them on a timely basis.

By developing advanced NLP and ML models, this role helps Hitachi Vantara empower businesses to automate, optimize, and innovate with data, enabling positive impact on industries and society.

• Bachelors/Masters Degree or equivalent, with 5-8 years of experience in solving industry problems using statistical, traditional ML and AI methods with proven experience in developing machine learning or NLP models, particularly for information extraction tasks.
• Deep understanding of statistical methods (regression, clustering) and ML algorithms (SVM, tree-based, neural networks) for supervised and unsupervised problems.
• Experience with advanced NLP methods (feature extraction, tagging, entity recognition) and working with LLMs through prompt engineering and fine-tuning.
• Proficiency in Python and experience with ML frameworks (Sklearn, TensorFlow, PyTorch) and NLP libraries (spaCy, NLTK, Hugging Face Transformers).

Industry-leading benefits, support, and services for holistic health and wellbeing; flexible arrangements for work-life balance; inclusive culture with mutual respect and merit-based systems.

Hitachi Vantara is the data foundation trusted by the world’s innovators, providing resilient, high-performance data infrastructure that enables businesses to automate, optimize, and innovate with data.