Function

Our Company

Were Hitachi Vantara the data foundation trusted by the worlds innovators. Our resilient high-performance data infrastructure means that customers from banks to theme parks can focus on achieving the incredible with data.

If youve seen the Las Vegas Sphere youve seen just one example of how we empower businesses to automate optimize innovate and wow their customers. Right now were laying the foundation for our next wave of looking for people who love being part of a diverse global team and who get excited about making a real-world impact with data.

Job description

Position Overview

We are looking for an experienced Data Scientist / ML Engineer with deep expertise in applied machine learning and natural language processing (NLP) along with strong exposure to modern MLOps practices. The ideal candidate combines solid theoretical foundations with hands-on experience in building deploying and maintaining large-scale ML systems including LLM-based applications in cloud-native and Kubernetes-based environments.

What You Will Do

• Translate complex business and product requirements into scalable AI/ML solutions using classical ML deep learning and GenAI techniques
• Design develop fine-tune and evaluate models for NLP tasks such as information extraction classification entity recognition and semantic understanding
• Build and productionize end-to-end ML pipelines including data ingestion feature engineering model training validation deployment and monitoring
• Implement LLM-based solutions using prompt engineering RAG (Retrieval-Augmented Generation) and fine-tuning approaches
• Deploy and manage training and inference workloads on Kubernetes-based platforms (e.g. Kubeflow KServe Ray or similar)
• Develop scalable APIs and microservices for model inference with performance latency and cost considerations
• Establish continuous training evaluation and feedback loops (CI/CD/CT pipelines) for model improvement
• Monitor model performance data drift and system health in production and implement automated retraining strategies
• Collaborate closely with data engineering platform and product teams to ensure seamless integration into production systems
• Ensure compliance with data privacy security and governance standards throughout the ML lifecycle

What You Will Need

• Bachelors or Masters degree in Computer Science Data Science AI/ML or a related field with 610 years of industry experience delivering ML solutions in production
• Strong hands-on experience in applying statistical methods classical ML and deep learning to solve real-world problems
• Proven experience building and deploying NLP systems particularly for information extraction classification and sensitive data detection
• Solid understanding of evaluation methodologies and metrics for NLP and ML systems (e.g. precision/recall F1 ROC-AUC BLEU etc.)
• Practical experience with LLMs including prompt engineering fine-tuning embeddings and retrieval-based systems
• Strong understanding of data privacy regulations (e.g. GDPR HIPAA) and secure ML practices
• Experience working in cross-functional teams to deliver production-grade systems with continuous feedback and iteration
• Strong problem-solving skills and ability to balance research with engineering pragmatism

Technical Skills

Core ML & NLP

• Proficiency in Python and ML ecosystem
• Strong experience with ML/DL frameworks: PyTorch TensorFlow Scikit-learn
• Experience with NLP libraries: spaCy NLTK Hugging Face Transformers
• Familiarity with LLM tooling: LangChain LlamaIndex OpenAI APIs vector databases (FAISS Pinecone Weaviate) Langgraph

MLOps & Productionization

• Hands-on experience with Kubernetes for ML workloads (training and inference)
• Experience with Kubeflow MLflow KServe Ray Airflow or similar orchestration tools
• Strong understanding of CI/CD pipelines for ML (CI/CD/CT)
• Experience with model serving frameworks (FastAPI TorchServe Triton etc.)
• Experience with experiment tracking model versioning and reproducibility

Data Engineering & Systems

• Experience with distributed data processing tools (e.g. Spark Dask)
• Familiarity with data pipelines and feature stores.

Nice to Have

• Experience with RAG architectures Knowledge-graphs and GraphRAG and knowledge-grounded LLMs
• Exposure to GPU/accelerator-based training and optimization
• Familiarity with observability tools (Prometheus Grafana) for ML systems
• Experience with security privacy-preserving ML or federated learning

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About us

Were a global team of innovators. Together we harness engineering excellence and passion for insight to co-create meaningful solutions to complex challenges. We turn organizations into data-driven leaders that can a make positive impact on their industries and society. If you believe that innovation can inspire the future this is the place to fulfil your purpose and achieve your potential.

Fostering innovation through diverse perspectives

Hitachi is a global company operating across a wide range of industries and regions. One of the things that sets Hitachi apart is the diversity of our business and people which drives our innovation and growth.

We are committed to building an inclusive culture based on mutual respect and merit-based systems. We believe that when people feel valued heard and safe to express themselves they do their best work.

How we look after you

We help take care of your today and tomorrow with industry-leading benefits support and services that look after your holistic health and wellbeing. Were also champions of life balance and offer flexible arrangements that work for you (role and location dependent). Were always looking for new ways of working that bring out our best which leads to unexpected ideas. So here youll experience a sense of belonging and discover autonomy freedom and ownership as you work alongside talented people you enjoy sharing knowledge with.

Were proud to say were an equal opportunity employer and welcome all applicants for employment without attention to race colour religion sex sexual orientation gender identity national origin veteran age disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process please let us know so that we can do our best to set you up for success.