Gen AI Data Scientist

Fractal Analytics Ltd.; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Fractal Analytics Ltd. in Bengaluru is seeking a Data Scientist with GenAI expertise to lead NLP initiatives and extract actionable insights from textual data. You will collaborate with data engineers, software teams, and domain experts to deliver scalable NLP solutions.

The role requires 5+ years in data science with GenAI focus, strong Python/R skills, and hands-on experience with NLP tools and DL frameworks. Join a team driving AI-powered business decisions.

Qualifications

• Master's in Computer Science, Data Science, Statistics, or related field.
• Minimum of 3 years of professional experience in data science with GenAI focus.
• Strong programming skills in Python or R.
• Experience with NLP libraries/frameworks such as NLTK, SpaCy, TensorFlow.
• Experience with ML techniques and deep learning frameworks TensorFlow or PyTorch.
• Knowledge of text mining, information retrieval, and semantic analysis.

Responsibilities

• NLP Model Development: Develop NLP models for text classification, sentiment analysis, entity recognition, and language translation.
• Text Preprocessing: Preprocess and clean large volumes of text data; tokenization, stemming, lemmatization.
• Feature Engineering: Engineer features from text to improve model performance.
• Model Training and Evaluation: Train, fine-tune, and evaluate NLP models; measure precision, recall, F1, accuracy.
• Data Analysis: Conduct exploratory data analysis on textual datasets to uncover patterns and anomalies.
• Collaboration with Cross-Functional Teams: Work with data engineers, software developers, and domain experts to integrate NLP solutions.
• Algorithm Optimization: Optimize NLP algorithms for efficiency; enable distributed computing for large-scale data.
• Stay Updated with NLP Trends: Apply cutting-edge techniques to solve problems.
• Documentation: Document methodologies and code for reproducibility and knowledge transfer.

Skills

Python

R

NLP

TensorFlow

PyTorch

SpaCy

NLTK

AWS

Azure

Education

Master's in CS/DS

Tools

TensorFlow

PyTorch

SpaCy

NLTK

AWS

Azure

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.

About Us

At Fractal, towards our goal of “powering every human decision in the enterprise”, our partnerships and alliances help in creating and delivering a compelling suite of solutions to unlock value. We partner with companies from around the globe, leaders in their respective fields. With Fractal’s expertise in artificial intelligence, design, engineering, and digital transformation, combined with the data, technology, and software platforms from our partners, we create cutting-edge solutions to problems in the business world. We understand how critical and timely decision triggers, and information, empower our clients to create, unlock, deliver, and realize value. Together with our partners, our goal is to serve each client in their end-to-end data-to-decision journey.