Software Engineering Lead Analyst

Role Overview

• Provide machine learning/AI solutions to business problems by developing and modifying software application programs;
• Create designs and algorithms;
• Code, test, debug, document, and maintain software algorithms;
• Implement unit tests, integration tests, and end-to-end tests to ensure quality;
• Lead initiatives by working directly with business partners to define requirements and meet stated needs;
• Serve as Subject Matter Expert for software as necessary;
• Support senior team members on complex projects and architects in decision making for future strategic direction;
• Conduct quality reviews of peers’ code;
• Identify and implement process enhancement opportunities;
• Deploy machine learning models to OpenShift/AWS/EC2/EKS environments;
• Monitor model performance and implement strategies for model retraining and updates;
• Use industry tools like CloudWatch/Dynatrace/Splunk to monitor the applications;
• Conduct experiments to explore new GenAI applications and validate their effectiveness;
• Develop innovative solutions using GenAI for tasks including but not limited to content generation, data augmentation, and anomaly detection;
• Develop and maintain ETL (Extract, Transform, Load) pipelines using Databricks and Pyspark/Scala.

Requirements

• Master’s degree or foreign equivalent in Computer Science, Information Technology & Management or related field;
• 2 years of experience in a related occupation;
• Experience writing custom SQL queries to support business requirements;
• Experience developing and implementing machine learning models;
• Experience developing algorithms in R and Python in the healthcare or pharma domain;
• Experience researching, proposing, and testing re-engineering and feature reduction and selection approaches for unsupervised machine learning;
• Experience developing models including data acquisition, data prep, model training, feature engineering, model optimization, and model deployment;
• Experience designing APIs, data models, sequence diagrams, and class diagrams;
• Experience implementing ETL pipeline from OLTP databases to OLAP Data warehouse, ensuring data completeness, accuracy and consistency;
• Experience developing and modifying software application programs, and facilitating sprint planning, daily scrums, and user story reviews;
• Experience designing unit testing, conducting integration testing and regression testing;
• Experience designing requirement traceability matrix to map user requirements with test cases;
• Experience developing use cases and technical specification documents by collaborating with business analysts and stakeholders;
• Experience persisting and serving AI models in real time deployment;
• Experience with requirements gathering and writing;
• Experience with data visualization, storytelling, and manipulation;
• Experience using: Tableau, Java, SQL, Shell Scripting, cron scheduling, HQL, databricks, container platforms (AWS, Pivotal Cloud Foundry, Openshift, Hadoop), enterprise firewall and proxy, Exploratory data analysis (EDA).

Tech Stack

• AWS
• Cloud
• EC2
• ETL
• Hadoop
• Java
• OpenShift
• PySpark
• Python
• Scala
• Shell Scripting
• Splunk
• SQL
• Tableau

Benefits

• medical
• vision
• dental
• well-being and behavioral health programs
• 401(k)
• company paid life insurance
• tuition reimbursement
• a minimum of 18 days of paid time off per year
• paid holidays