Junior AI Engineer

About the Company We are seeking an AI Analyst with strong experience in Databricks, Machine Learning, and Generative AI to support advanced analytics initiatives. The ideal candidate will design and implement machine learning models, analyze complex datasets, build data pipelines, and generate actionable insights using modern AI technologies. About the Role This role requires strong expertise in Python, PySpark, SQL, Databricks, and Power BI, along with experience in ML Ops, NLP, and Generative AI solutions. Responsibilities Advanced Analytics & Machine Learning Design, develop, and optimize machine learning models including forecasting, classification, and clustering models. Apply data mining techniques to identify patterns, trends, and insights from large datasets. Perform feature engineering, model validation, and performance tuning. Implement Generative AI and NLP solutions for business analytics and automation use cases. Design, train, and deploy machine learning models in production environments. Data Engineering & Data Preparation Design and maintain data systems, pipelines, and databases. Extract, clean, and transform data from primary and secondary sources. Develop scripts and tools for data cleansing, validation, and enrichment. Collaborate with data engineering teams to maintain efficient and scalable data pipelines. Identify and resolve data quality issues and coding errors. Analytics, Insights & Reporting Use statistical tools and machine learning techniques to analyze data and generate insights. Build and maintain Power BI dashboards and reports to support business decision-making. Analyze and troubleshoot dashboard errors and performance issues. Deliver predictive and diagnostic analytics using advanced data science techniques. Required Skills Strong expertise in Python, PySpark, SQL, Databricks, and Power BI. Preferred Skills Experience in ML Ops, NLP, and Generative AI solutions. Equal Opportunity Statement We are committed to diversity and inclusivity.