GATECTS with office in North Brunswick, NJ seeking an experienced AI/ML to lead the design, development, and implementation of an advanced internal-facing assistant solution. The ideal candidate will have a strong background in architecture, product evaluation, and hands-on implementation experience with AI-powered assistants similar to Glean or Rogo. The key responsibilities are Design and architect a scalable, secure, and efficient internal assistant solution using cutting-edge AI and natural language processing technologies. Develop proof-of-concepts and prototypes to validate architectural decisions. Lead the integration of the chatbot with internal systems, databases, and APIs. Collaborate with cross-functional teams to gather requirements and ensure alignment with business objectives. Implement best practices for AI model deployment, monitoring, and continuous improvement. Provide technical leadership and mentorship to the development team. Stay up-to-date with the latest advancements in AI, GenAI, and LLMs, incorporating innovative features into the chatbot architecture. The required qualifications are 10+ years of experience in software development, with a focus on AI and machine learning. Proven experience architecting and implementing internal-facing AI chatbot solutions similar to Glean or Rogo. Strong hands-on experience with Python, LLMs, and Generative AI technologies. Deep understanding of natural language processing, sentiment analysis, and text generation techniques. Expertise in cloud platforms (AWS, Azure, or GCP) for AI model deployment and scaling. Experience with MLOps practices and tools for model lifecycle management. Strong problem-solving skills and ability to translate complex business requirements into technical solutions. Excellent communication skills to explain technical concepts to both technical and non-technical stakeholders. Fax resume to HR at 215-525-5720. EOE. No calls.

GATECTS seeking an experienced Data Science & AI Platform Engineer to build and maintain a secure, monitored, cloud-hosted production laboratory. The laboratory will be used by data science teams to create analytics for insights and AI/ML models for deployment in a high-stakes production environment. The key responsibilities are Develop and maintain a data exploration and feature engineering pipeline to enable data readiness for modeling within a secure and compliant infrastructure. Implement and manage Databricks, JupyterHub, and other modern tools for exploratory data analysis, AI design, model development, and training. Integrate tools with TCloud Bitbucket for version control and collaboration. Configure AWS S3 buckets for Feature Store, ensuring compliance with IRS UNAX rules and separate security contexts for different teams. Establish and maintain a model development pipeline utilizing MLflow for experiment tracking and model registry. Create AWS Lambda functions and implement AWS Flow for efficient model artifact storage and .metadata management. Integrate with AWS RDS for robust data management and retrieval. Configure SNS notifications for model promotion workflows. Support data science teams in adhering to Responsible AI Principles via the implementation of the Responsible AI Toolbox. Required qualifications are Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field and 7 years’ experience. Proven experience with cloud services, particularly AWS (S3, Lambda, RDS, SNS, etc.). Expertise in setting up and managing data science environments with tools such as Databricks, JupyterHub, MLflow, and Bitbucket. Strong proficiency in programming languages and tools such as SQL, Python, R, and Spark. Familiarity with machine learning frameworks and libraries. Deep understanding of data security and privacy, especially in compliance with IRS standards. Experience with CI/CD pipelines and infrastructure as code. Excellent communication skills and the ability to collaborate with cross-functional teams. Fax resume to HR at 215-525-5720. EOE. No calls.

GATECTS is seeking an AWS Cloud Database Administrator and Infrastructure as Code Developer, you will be responsible for delivering high-quality database administration services to App/Dev Teams, including provisioning, configuration, maintenance, and optimization of Amazon Redshift, Aurora PostgreSQL and Document DB Databases using Cloud Formation Templates and Terraform. The job duties are work closely with our IT teams to assess database infrastructure, identify areas for improvement, and implement effective solutions to ensure optimal performance and reliability. In-depth knowledge of Amazon Redshift database administration, DocumentDB database administration and Aurora PostgreSQL database administration including installation, configuration, and maintenance is necessary for the position. Develop Infrastructire as Code for provisioning, configurations, and maintenance of Amazon Redshift, DocumentDB and Aurora PostgreSQL Databases according to best practices and requirements. Provide technical support and troubleshooting assistance for Database related issues and incidents. Document database configurations, procedures, and troubleshooting steps for knowledge sharing and future reference. Optimize database performance through query tuning, index optimization, and database schema refinement. Develop and implement high availability and disaster recovery solutions. Required qualifications are strong analytical and problem-solving skills, with the ability to diagnose and resolve complex database issues. Excellent communication and interpersonal skills, with the ability to effectively interact with internal teams are necessary. Experience with infrastructure as code (IaC) tools such as AWS CloudFormation or Terraform is a must. Proficiency in scripting with Python, lambda and Step Functions. Develop and implement backup and recovery strategies to safeguard critical data and minimize downtime. Deep understanding of database concepts and experience with Redshift, DocumentDB, Aurora PostgreSQL is a must. Experience with monitoring and logging tools, particularly AWS CloudWatch is a must. Skills in database performance tuning, backup and recovery, and high availability setups. Experience in administration, managing and optimizing databases like Redshift, DocumentDB and Aurora PostgreSQL. Use of CI/CD pipelines and tools like Jenkins to provision databases and develop solutions for developer Self Service. Several years (3-5+ years) of experience working with AWS cloud services, including experience with database administration and infrastructure development. Hands-on experience in designing, deploying, and managing cloud infrastructure. Fax resume to HR at 215-525-5720. EOE. No calls.

GATECTS with office in North Brunswick, NJ seeking a Senior Data Analyst with strong SAS programming and SQL skills to transform complex data into actionable insights that drive business decisions. The ideal candidate will combine technical expertise with business acumen to deliver meaningful analysis and recommendations. The ideal candidate will be detail-oriented, self-motivated, and passionate about using data to solve complex business problems. Must be comfortable working both independently and as part of a cross-functional team. The key responsibilities are Develop and maintain SAS programs for automated reporting and advanced statistical analysis. Create and optimize SAS stored procedures and views for improved data accessibility. Maintain and develop data interfaces. Troubleshoot system and batch processing. Design and execute complex SQL queries to extract, transform, and analyze large datasets from multiple sources. Collaborate with stakeholders to understand business requirements and translate them into analytical solutions. Build and maintain dashboards and reports to track key performance indicators and share business insights. Identify trends and patterns in data to support strategic decision-making. Document technical processes and maintain data dictionaries. Validate data quality and implement data cleaning procedures. Mentor junior analysts in SQL and SAS best practices. Required qualifications are Bachelor's degree in Statistics, Mathematics, Computer Science, or related field. 5+ years of experience in SAS programming to mine, alter, manage, retrieve, and combine data from a variety of sources and perform statistical analysis. Proficient in SAS programming, including macro development and PROC SQL. Proficient with SAS data integration and query tools. 5+ years of advanced SQL skills including complex joins, window functions, and query optimization. 3+ years of experience in data visualization and tools. Strong problem-solving and analytical thinking skills. Excellent communication skills with ability to present technical concepts to non-technical audiences. Fax resume to HR at 215-525-5720. EOE. No calls.