Top Skills:
RecruitmentUsageFocusNatural Language ProcessingMachine LearningProgrammingData PrivacyTransformersPythonNeural NetworksAiClassificationData PrivacyFeature ExtractionInformation ExtractionMachine LearningNatural Language ProcessingNeural NetworkNlpNltkPythonPytorchSpacyTensorflowUnstructured Data
Function
Engineering
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.
- 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-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
- Skills in working with LLMs through prompt engineering, fine-tuning pre-trained models on specific datasets for targeted applications, etc.
- Work closely with data engineers, software developers, and other stakeholders to integrate the solutions into existing systems with systemic feedback and continuous training and optimization.
- 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)
- Familiarity with libraries and frameworks commonly used for LLMs (e.g., Hugging Face Transformers, LlamaIndex, LangChain etc)
Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Data Scientist/ Machine Learning Engineer
Hitachi Energy
naukri
Bengaluru
5-8 years Not Disclosed
Full time
01 May 2026
Top Skills:
RecruitmentUsageFocusNatural Language ProcessingMachine LearningProgrammingData PrivacyTransformersPythonNeural NetworksAiClassificationData PrivacyFeature ExtractionInformation ExtractionMachine LearningNatural Language ProcessingNeural NetworkNlpNltkPythonPytorchSpacyTensorflowUnstructured Data
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Job Description
Download Resume Function
Engineering
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.
- 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-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
- Skills in working with LLMs through prompt engineering, fine-tuning pre-trained models on specific datasets for targeted applications, etc.
- Work closely with data engineers, software developers, and other stakeholders to integrate the solutions into existing systems with systemic feedback and continuous training and optimization.
- 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)
- Familiarity with libraries and frameworks commonly used for LLMs (e.g., Hugging Face Transformers, LlamaIndex, LangChain etc)
Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.