GenAI Data Scientist
At a glance
Mid-level AI Research role at Fractal. Bengaluru · full-time.
Pay not stated AI Research salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build NLP models for tasks such as text classification, sentiment detection, entity recognition and translation
- Clean and prepare large text collections, then create features that capture meaning and semantic links
- Train and tune models, validate results, and measure performance with precision, recall, F1 and accuracy
- Analyze text datasets for patterns and anomalies, working with engineers and domain experts to integrate NLP solutions
- Improve model efficiency at scale and document methods, code and findings for others to reuse
What you bring
- At least three years of professional data science work focused on GenAI
- A master's degree in computer science, data science, statistics or another related field
- Strong Python or R skills, with practical expertise in NLP libraries and machine learning methods
- Hands-on deep learning framework experience, such as TensorFlow or PyTorch, plus knowledge of text mining and semantic analysis
Who this fits
This role suits a mid-career data scientist focused on GenAI and NLP, especially someone who enjoys extracting insights from text. The position is based in Bengaluru, India.
From the employer
It's fun to work in a company where people truly BELIEVE in what they are doing!
We're committed to bringing passion and customer focus to the business.
Job Description
Job Title: Data Scientist with GenAI Experience
Job Summary:
We are seeking an experienced Data Scientist with a focus on Gen AI and a minimum of 5 years of industry experience. The ideal candidate will have a strong background in machine learning, statistical analysis, and data modeling, with a specific emphasis on extracting insights from textual data. This role involves working on complex NLP projects to derive meaningful patterns and knowledge from large datasets.
Key Responsibilities:
1. **NLP Model Development:**
- Develop and implement NLP models for various applications, including text classification, sentiment analysis, entity recognition, and language translation.
- Utilize machine learning and deep learning techniques to extract valuable information from unstructured text.
2. **Text Preprocessing:**
- Preprocess and clean large volumes of text data to prepare it for analysis.
- Implement techniques such as tokenization, stemming, and lemmatization.
3. **Feature Engineering:**
- Identify and engineer relevant features from text data to improve model performance.
- Implement techniques to capture semantic relationships within the data.
4. **Model Training and Evaluation:**
- Train, fine-tune, and validate NLP models using appropriate algorithms.
- Evaluate model performance using metrics such as precision, recall, F1 score, and accuracy.
5. **Data Analysis:**
- Conduct exploratory data analysis on textual datasets to uncover patterns, trends, and anomalies.
- Use statistical methods to gain insights into the underlying structure of the data.
6. **Collaboration with Cross-Functional Teams:**
- Work closely with data engineers, software developers, and domain experts to integrate NLP solutions into broader systems and applications.
- Collaborate in defining project goals, requirements, and deliverables.
7. **Algorithm Optimization:**
- Optimize and fine-tune NLP algorithms for improved efficiency and accuracy.
- Implement parallel processing and distributed computing techniques for large-scale data analysis.
8. **Stay Updated with NLP Trends:**
- Stay informed about the latest advancements and trends in NLP and machine learning.
- Apply cutting-edge techniques to solve complex business problems.
9. **Documentation:**
- Document methodologies, algorithms, and code for reproducibility and knowledge transfer.
- Prepare clear and concise project reports and documentation.
Qualifications:
- Master's in Computer Science, Data Science, Statistics, or a related field.
- Minimum of 3 years of professional experience in data science, with a focus on GenAi.
- Strong programming skills in languages such as Python or R.
- Expertise in using NLP libraries and frameworks such as NLTK, SpaCy, or TensorFlow.
- Proficiency in machine learning techniques, including supervised and unsupervised learning.
- Experience with deep learning frameworks like TensorFlow or PyTorch.
- Strong understanding of text mining, information retrieval, and semantic analysis.
- Excellent problem-solving and analytical skills.
- Effective communication and collaboration skills.
- Experience with cloud platforms (e.g., AWS, Azure) and big data technologies is a plus.
If you are a skilled Data Scientist with a specialization in NLP, passionate about deriving insights from textual data, and have a proven track record, we encourage you to apply. Your expertise will contribute to the advancement of our data science capabilities and the development of innovative NLP solutions.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
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