Gen AI Data Scientist

Role overview

Gen AI Data Scientist at Fractal

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.

We are seeking an experienced Data Scientist with a focus on Gen AI and a minimum of 5 years of industry experience.

This role involves working on complex NLP projects to derive meaningful patterns and knowledge from large datasets.

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.

Required 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.
• Payal Singh added Niranjana Balaguru to the chat.
• If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
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Employment details

• Location: Bengaluru [India], Pune, Mumbai, Gurgaon

Additional role details

• 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 Title: Data Scientist with GenAI Experience