AI/ML Engineer

• We are seeking an experienced AI/ML Engineer to design, develop, and deploy enterprise-grade Machine Learning and Generative AI solutions.
• The ideal candidate will have a strong background in AI/ML engineering, data science, predictive analytics, and cloud-based ML development, along with experience in the insurance or financial services industry.
• This role requires expertise in building scalable ML solutions, customer analytics, and business intelligence to drive strategic business outcomes., * Design, develop, deploy, and maintain production-grade Machine Learning and Generative AI solutions.
• Build scalable ML models and inference pipelines supporting APIs, batch processing, and real-time predictions.
• Develop predictive analytics models to improve customer engagement, marketing effectiveness, revenue generation, and business performance.
• Perform data exploration, anomaly detection, feature engineering, and exploratory data analysis (EDA).
• Develop Machine Learning models using Python in cloud environments.
• Collaborate with business stakeholders to identify AI/ML opportunities and translate business requirements into technical solutions.
• Implement Responsible AI practices, including model monitoring, bias mitigation, explainability, and data privacy.
• Create dashboards and visualizations using Power BI to communicate insights and business recommendations.
• Present analytical findings and AI-driven recommendations through compelling storytelling and executive-level presentations.
• Ensure data quality, model performance, and continuous optimization of AI/ML solutions.

• Strong experience supporting Sales, Marketing, Customer Engagement, or Customer Analytics initiatives.
• Proven experience designing, deploying, and managing production Machine Learning and/or Generative AI solutions.
• Hands-on experience building ML APIs, batch inference, and real-time prediction services.
• Strong Python programming experience for Machine Learning development.
• Strong SQL skills with expertise in data analysis and exploratory data analysis (EDA).
• Experience with Azure Machine Learning, Dominos, and/or Power BI.
• Strong statistical and mathematical knowledge supporting predictive modeling and data science.
• Experience applying predictive analytics to improve customer experience, marketing effectiveness, revenue generation, and business outcomes.
• Excellent presentation, communication, and stakeholder management skills.
• Strong analytical thinking and problem-solving abilities.

Required Skills

• Python
• SQL
• Machine Learning
• Generative AI
• Predictive Modeling
• Data Science
• Exploratory Data Analysis (EDA)
• Statistical Analysis
• Azure Machine Learning
• Power BI
• Dominos
• API Development
• Batch Inference
• Real-Time Inference
• Responsible AI
• Model Monitoring
• Data Privacy
• Customer Analytics
• Marketing Analytics
• Sales Analytics

Mandatory Skills

• Python
• SQL
• Machine Learning
• Generative AI
• Azure Machine Learning
• Power BI
• Predictive Modeling
• Data Science
• Statistical Analysis
• Customer Analytics
• Insurance/Financial Services Experience
• Responsible AI
• Data Analysis
• API Development