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).

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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningAI solutionssoftware application developmentalgorithmsunit testingintegration testingETL pipelinesdata acquisitionfeature engineeringmodel optimization

Soft Skills

leadershipcollaborationcommunicationproblem-solvingquality assuranceprocess enhancementrequirements gatheringstakeholder engagementdocumentationexperimentation

Certifications

Master’s degree in Computer ScienceMaster’s degree in Information Technology & Management