Hitachi Vantara
DataScientist/MachineLearningEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Scientist/ Machine Learning Engineer at Hitachi Vantara. Skills: Data Science, Machine Learning, Natural Language Processing (NLP), Python, Machine Learning Frameworks, NLP Libraries and Frameworks, LLMs. 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”
What You'll Achieve.
achieving the incredible with data; making a real-world impact with data; automate, optimize, innovate – and wow their customers; productionizing end-to-end machine learning solutions at scale; solve them at scale; optimize the models; integrate the solutions into existing systems; make a positive impact on their industries and society; achieve your potential
Industry & Context.
solving industry problems; solve them at scale; complex challenges
What They're Looking For.
Must Have
Bachelors/Masters Degree or equivalent, 5-8 years of experience in solving industry problems using statistical, traditional ML and AI methods, proven experience in developing machine learning or NLP models, particularly for information extraction tasks, Deep understanding, both theory and practice, of basic statistical methods such as regression, clustering, general ML algorithms such as SVM, tree-based methods, neural networks etc. for solving supervised and unsupervised problems, Experience working on advanced NLP methods like feature extraction, tagging and entity recognition and classification to identify sensitive information that comply with relevant data privacy regulations from structured and unstructured data sources, Understanding of data privacy regulations and best practices, Good Understanding of evaluation metrics specific to NLP tasks, Proficiency in programming languages such as Python, Experience with machine learning frameworks (e. g. , Sklearn, TensorFlow, PyTorch), Experience with NLP libraries and frameworks (e. g. , spaCy, NLTK, Hugging Face Transformers)
Nice to Have
Skills in working with LLMs through prompt engineering, fine-tuning pre-trained models on specific datasets for targeted applications, etc., Familiarity with libraries and frameworks commonly used for LLMs (e. g. , Hugging Face Transformers, LlamaIndex, LangChain etc)
What You'll Do.
Understand business and product needs and use classical ML methods or advanced AI techniques to solve them at scale
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
Work closely with data engineers
and other stakeholders to integrate the solutions into existing systems with systemic feedback and continuous training and optimization
How You'll Work.
Team & Collaboration
proactively collaborate in productionizing end-to-end machine learning solutions at scale; Communicate and collaborate with engineering/cross-functional teams; Work closely with data engineers, software developers, and other stakeholders
Communication Scope
Communicate and collaborate with engineering/cross-functional teams
Full Job Description
**Function** Engineering # **Our Company** We’re Hitachi Vantara, the data foundation trusted by the world’s innovators. Our resilient, high-performance data infrastructure means that customers – from banks to theme parks – can focus on achieving the incredible with data. If you’ve seen the Las Vegas Sphere, you’ve seen just one example of how we empower businesses to automate, optimize, innovate – and wow their customers. Right now, we’re laying the foundation for our next wave of growth. We’re 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 a highly skilled Data Scientist/ML Engineer with a strong background in statistical and machine learning methods, with a specialized focus on natural language processing (NLP). The ideal candidate will be adept at model training, retraining and optimization and will proactively collaborate in productionizing end-to-end machine learning solutions at scale. _**What you will do:**_ \-- 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. What you will need: \-- 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, both theory and practice, of basic statistical methods such as regression, clustering, general ML algorithms such as SVM, tree
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