Data Scientist - Machine Learning (4-6 yrs)

Job Role : Data Scientist

Job Mode : Remote

Shift Timing : 2:30 PM to 11:30 PM IST

Experience : 4+ Years

Benefits : Food allowance, Internet allowance, Health insurance and many more.

Job Description :

We are seeking an experienced Data Scientist with 4 years of expertise in ETL, SQL, Pyspark, Databricks, and Machine Learning applications, with a strong focus on Large Language Models (LLMs) and Natural Language Processing (NLP).

This role is ideal for a highly skilled developer passionate about working on AI-driven solutions within the call center domain.

You will play a key role in leveraging your technical expertise to develop innovative models that improve customer interactions and optimize business operations.

What you will be doing :

- Design, develop, and optimize ETL processes for large-scale data integration, transformation, and cleaning using SQL, Pyspark, and Databricks.

- Build and deploy machine learning models using Pyspark and Databricks to process and analyze large datasets.

- Implement Large Language Models (LLMs) and NLP techniques to automate and enhance call center operations, such as sentiment analysis, customer intent recognition, and chatbots.

- Work closely with stakeholders to understand business requirements and tailor machine learning solutions for operational efficiency.

- Continuously monitor model performance, tuning and retraining models as necessary to ensure accuracy and effectiveness.

- Develop scalable data pipelines in collaboration with cross-functional teams to deploy AI solutions to production.

- Stay updated with the latest advancements in LLMs, NLP, and machine learning, applying new knowledge to improve models and business processes.

- Provide technical expertise and mentorship to junior team members and contribute to code reviews and best practices.

What we expect you to have :

- 4 years of professional experience in Data Science, with a focus on ETL, SQL, Pyspark, and Databricks.

- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.

- Strong expertise in Python programming, with experience developing machine learning models and data pipelines.

- Hands-on experience with Large Language Models (LLMs) and Natural Language Processing (NLP).

- Solid understanding of SQL and data query optimization for large-scale datasets.

- Experience in Databricks and Pyspark for big data processing and analysis.

- Knowledge of Machine Learning algorithms and frameworks (e., Scikit-learn, TensorFlow, PyTorch).

- Ability to analyze and preprocess data, building scalable, efficient solutions.

- Excellent problem-solving and analytical skills.

- Strong communication skills to present findings and technical concepts to both technical and non-technical stakeholders.