Description

You will lead data science initiatives, building machine learning models and deploying them into production using MLOps practices.

This role is on-site.

Responsibilities

• Develop and deploy predictive models using Python, PySpark, and Pandas for large-scale data workloads.
• Design and maintain visualizations and dashboards in Power BI, utilizing DAX for complex queries.
• Implement machine learning operations (MLOps) pipelines on Azure Databricks and Google Cloud Platform.
• Apply NLP and GenAI/LLM techniques to solve complex data problems.
• Conduct A/B testing and statistical analysis to drive business decisions.

Required Skills

• 7+ years of experience in Data Science and Machine Learning Engineering.
• Strong proficiency in Python, PySpark, and Pandas.
• Expertise in SQL and relational database management.
• Minimum 3 years of hands-on experience with Power BI and DAX.
• Experience with Azure Databricks and Google Cloud Platform.
• Knowledge of ML Ops, data structures, and big data analytics.
• Familiarity with NLP, GenAI, and Large Language Models.

Preferred Skills

• Databricks Certified Data Engineer Associate certification.
• Google Cloud Certified Machine Learning Engineer certification.

Key Skills

Education

Bachelor's or Master's degrees