Data Scientist-bglr

1 day ago

Bengaluru Karnataka, India Zinnov Full time

Department
- ML
- Job posted on
- May 16, 2023
- Employment type
- Permanent

**Job Title**: Senior Data Scientist

**Location**: Bangalore

**Employment Type**: Full-Time

Job Summary

We are seeking a highly skilled and experienced **Senior Data Scientist** to join our team. In this role, you will leverage advanced Natural Language Processing (NLP), Deep Learning, and traditional Machine Learning (ML) techniques to build and optimize our NLP-driven products and services. You will work closely with cross-functional teams to develop scalable, high-performance NLP models that solve complex language and data-related challenges. If you are passionate about advancing language understanding and have hands-on experience with the latest NLP frameworks, models, and techniques, we would love to speak with you

**Responsibilities**:

- **Data Processing and Feature Engineering**: Develop robust pipelines for text preprocessing, feature extraction, and data augmentation for structured and unstructured data.
- **Stakeholder Communication**: Collaborate with stakeholders to gather requirements, conduct due diligence, and communicate project updates effectively, ensuring alignment between technical solutions and business goals.
- **Evaluation and Testing**: Establish metrics, benchmarks, and methodologies for model evaluation, including cross-validation, and error analysis, ensuring models meet accuracy, fairness, and reliability standards.
- **Deployment and Monitoring**: Oversee the deployment of NLP models in production, ensuring seamless integration, model monitoring, and retraining processes.

**Requirements**:
Minimum Qualifications
- **Education**: Bachelor's degree in computer science, or a related field.
- **Experience**: Minimum of 2.5 to 5 years of experience in NLP, Deep Learning, and ML, with a proven track record of developing and optimizing both LLM and traditional machine learning NLP models.

Technical Skills
- **Advanced NLP Techniques**: Proficiency in transformer models (e.g., BERT, RoBERTa, GPT, T5), and experience with techniques like entity recognition (NER), text classification, summarization, question answering, and language generation.
- **Programming**: Strong programming skills in Python, with experience in NLP libraries such as Hugging Face Transformers, spaCy, NLTK, and Gensim.
- **ML and DL Frameworks**: Proficiency in ML and Deep Learning frameworks such as TensorFlow, PyTorch, and Scikit-learn.
- **Traditional ML Techniques**: Familiarity with traditional ML models like SVMs, Logistic Regression, Decision Trees, and KNN etc
- **Evaluation Metrics**: Familiarity with NLP and ML evaluation metrics (e.g., BLEU, ROUGE, F1, accuracy, precision, recall) and experience designing experiments and tests.

Soft Skills
- **Communication Skills**: Excellent verbal and written communication skills, capable of explaining technical concepts to both technical and non-technical stakeholders.
- **Enthusiasm for Learning**: A self-motivated individual with a passion for continuous learning and openness to exploring new technologies.
- **Teamwork and Collaboration**: A team player with the ability to work effectively in a collaborative, fast-paced environment.

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