Software Engineering Lead Analyst (0251487)

(Multiple positions available)

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; and Develop and maintain ETL (Extract, Transform, Load) pipelines using Databricks and Pyspark/Scala. Hybrid Work Schedule.

Requires 2 years of experience in a related occupation. Requires experience with: Writing custom SQL queries to support business requirements; Developing and implementing machine learning models; Developing algorithms in R and Python in the healthcare or pharma domain; Researching, proposing, and testing re-engineering and feature reduction and selection approaches for unsupervised machine learning; Developing models including data acquisition, data prep, model training, feature engineering, model optimization, and model deployment; Designing APIs, data models, sequence diagrams, and class diagrams; Implementing ETL pipeline from OLTP databases to OLAP Data warehouse, ensuring data completeness, accuracy and consistency; Developing and modifying software application programs, and facilitating sprint planning, daily scrums, and user story reviews; Designing unit testing, conducting integration testing and regression testing; Designing requirement traceability matrix to map user requirements with test cases; Developing use cases and technical specification documents by collaborating with business analysts and stakeholders; Persisting and serving AI models in real time deployment; Requirements gathering and writing; Data visualization, storytelling, and manipulation; and 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).

Requires a Master’s degree or foreign equivalent in Computer Science, Information Technology & Management, or related field.

Please copy and paste your resume in the email body (do not send attachments, we cannot open them) and email it to candidates at placementservicesusa.com with reference #0251487 in the subject line.