Machine Learning Engineer
2 weeks ago
Key Responsibilities:
Model Development: Design and implement machine learning models, with a focus on NLP tasks such as text classification, sentiment analysis, named entity recognition, and language generation.
Model Training and Evaluation : Train, fine-tune, and validate machine learning models for NLP tasks. Utilize appropriate metrics and techniques to assess and improve model performance.
Data Processing: Clean, preprocess, and transform textual data to prepare it for model training and integration.
Algorithm Research : Stay abreast of the latest research and advancements in NLP. Implement state-of-the-art algorithms and methodologies to enhance model capabilities.
Collaboration: Work closely with cross-functional teams, including AI engineers, software developers, and product managers, to integrate machine learning solutions into our products and services.
Qualifications:
Education: Bachelor’s degree in Computer Science, Data Science, Mathematics, or a related field from Tier 1 institutions. Advanced degrees (Master’s or PhD) are a plus.
Experience: 3-5 years experience in in model training and evaluation and applying NLP techniques such as text classification and NER.
Technical Skills:
Proficiency in programming languages such as Python or R.
Hands-on experience with NLP libraries and frameworks (e.g., NLTK, spaCy) is a must and familiarity with Hugging Face Transformers, BERT etc is a plus.
Experience with deep learning frameworks such as TensorFlow or PyTorch.
Soft Skills :
Extremely process driven with a hunger to constantly improve oneself is a must
Strong problem-solving abilities and analytical thinking.
Excellent communication and collaboration skills.
Proven team-building capabilities.
Ability to work in a fast-paced, startup environment with a focus on innovation.
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