What We Offer:

 

• Internet Allowance
• Health Insurance
• Tuition Reimbursement
• Work-Life Balance Initiatives
• Rewards & Recognition
• Internal movement through IJP

What You’ll 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.g., 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.