Machine Learning Engineer
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Job Location:
Monthly Salary:
Posted on:
8 hours ago
Vacancies:
1 Vacancy
Job Summary
Our Client is seeking a Senior Machine Learning Engineer to design build and optimize advanced machine learning and deep learning models-primarily with NLP (BERT/Transformers). The ideal candidate has deep technical expertise strong statistical foundations and experience developing ML solutions end-to-end from data preprocessing to model deployment and optimization.
The Machine Learning Engineer will run experiments evaluate algorithms manage data pipelines and collaborate with cross-functional teams to align ML solutions with business objectives.
Key Responsibilities-
Design develop and deploy machine learning and deep learning systems with a focus on NLP and transformer models.
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Build train and fine-tune BERT and Transformer-based models for classification sentiment analysis and language understanding.
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Analyze datasets explore relationships between features and outcomes and ensure ML solutions align with business goals.
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Conduct ML experiments evaluate model performance and implement appropriate ML algorithms for various problem types.
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Perform data preprocessing including cleaning tokenization and feature engineering (e.g. embeddings).
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Manage and verify data quality ensuring clean well-structured training datasets.
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Define validation strategies experiment tracking and evaluation metrics.
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Optimize ML models with hyperparameter tuning monitoring performance trade-offs.
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Supervise data acquisition pipelines and identify additional training data sources when required.
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Leverage transfer learning adapting pre-trained transformer models to custom datasets and business use cases.
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Collaborate with teams to meet project deadlines manage competing priorities and support stakeholder expectations.
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Strong understanding of ML fundamentals algorithms and modeling techniques.
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Hands-on experience with NLP specifically BERT and Transformer-based architectures.
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Proficiency in TensorFlow or PyTorch.
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Ability to implement train and fine-tune BERT and transformer models.
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Skilled in text preprocessing tokenization word embeddings.
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Strong programming experience with Python NumPy Pandas Scikit-learn.
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Experience with hyperparameter tuning performance optimization and understanding model trade-offs.
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Proficiency in leveraging pre-trained transformer models for custom tasks.
Key Skills
- Industrial Maintenance
- Machining
- Mechanical Knowledge
- CNC
- Precision Measuring Instruments
- Schematics
- Maintenance
- Hydraulics
- Plastics Injection Molding
- Programmable Logic Controllers
- Manufacturing
- Troubleshooting
