Associate Data Scientist- NLP(LLM)
4 weeks ago
Role: Associate Data Scientist -NLP(LLM)
Location: Bengaluru (Hybrid)
Experience: 0-2 Years
Job Description
As an Associate Data Scientist specializing in Natural Language Processing, you will play a crucial role in developing and implementing NLP solutions to address complex business challenges. You will work closely with our experienced data science team to build, train, and deploy NLP models that will have a significant impact on our products and services. The ideal candidate will have a strong background in Natural Language Processing (NLP), Machine Learning, and Data Science. You will be responsible for developing and implementing NLP models to solve complex business problems.
Responsibilities
- Develop and implement NLP models to solve complex business problems using deep learning algorithms and neural networks
- Perform exploratory data analysis to gain insights into the data and develop data preprocessing pipelines for text data
- Collaborate with cross-functional teams to implement solutions
- Perform statistical analysis and evaluate model performance using appropriate metrics.
- Communicate findings and insights to technical and non-technical stakeholders
- Keep up-to-date with the latest developments in NLP and related fields
Requirements
- Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.
- Strong understanding of NLP concepts, algorithms, and techniques.
- Strong programming skills in Python and proficiency in other programming languages such as C++, Javascript, and Bash are appreciated.
- Hands-on experience using NLP algorithms and techniques such as text pre-processing, language modeling, information extraction, sentiment analysis, topic modeling, machine translation, and Information Retrieval.
- Experienced in using LLMs and advanced techniques like prompt engineering, RAG systems, vectorDB, etc
- Strong understanding of BERT and other transformer models.
- Foster a collaborative and innovative team environment, encouraging knowledge sharing, best practices, and continuous learning
- Monitor project progress, identify potential roadblocks, and proactively implement solutions to ensure successful project completion.
- Experience with deep learning frameworks such as TensorFlow / PyTorch / Keras
- Experience with data ingestion from databases like MySQL, MongoDB, etc., and data manipulation and visualization tools such as Pandas, NumPy, and Matplotlib, plotly.
Good to have
- Familiarity with cloud platforms such as AWS, GCP, or Azure and experience with deploying models to production environments using docker containers using version control tools like Git.
- Excellent communication and interpersonal skills, with the ability to explain technical concepts to non-technical stakeholders
- Understanding of Project Life Cycle and adherence to project documentation
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