Xenon Seven

DevOps Engineer

• Designing and implementing cloud infrastructure to support SageMaker Unified Studio features.
• Automating deployment pipelines using CI/CD tools (CodePipeline, Jenkins, GitHub Actions, etc.).
• Managing infrastructure as code (IaC) with Terraform/CloudFormation.
• Ensuring scalability, security, and compliance of ML workloads in AWS.
• Monitoring and optimizing SageMaker Studio environments, including notebooks, pipelines, and endpoints.
• Collaborating with ML engineers to integrate new Unified Studio capabilities into existing workflows.
• Implementing observability solutions (CloudWatch, Prometheus, Grafana) for proactive monitoring.
• Troubleshooting infrastructure and deployment issues across distributed ML systems.
• Driving DevOps best practices for automation, testing, and release management.

Infrastructure & DevOps Engineer – AWS SageMaker Unified Studio

Data Scientist

• Lead and mentor junior data scientists, providing technical guidance, code reviews, and career development support.
• Analyze complex datasets to extract actionable insights using advanced statistical and machine learning techniques.
• Build and optimize predictive models, recommendation systems, clustering models, and time-series forecasting solutions.
• Collaborate with cross-functional teams including engineering, product, and business stakeholders to integrate data-driven solutions into production systems.
• Collaborate with MLOps and Engineering teams to automate model deployment, monitoring, and retraining pipelines using tools such as MLflow, Airflow, or Kubeflow..
• Translate analytical results into business KPIs and measure the impact of models on key financial and operational outcomes..
• Explore emerging AI capabilities, including GenAI and LLM-based solutions for document analysis, knowledge retrieval, and customer interaction..
• Write clean, maintainable code primarily in Python and SQL for data analysis, model development, and deployment.
• Communicate findings and model performance clearly to technical and non-technical stakeholders through reports and presentations.
• Ensure model governance and fairness in line with banking regulatory requirements (e.g., MRM, compliance, and audit standards).

Senior Data Scientist

Software Engineer

• Design, configure, and implement integrations between Microsoft Dynamics CRM, Business Central, and third-party solutions.
• Support the connection of the custom operational system with Microsoft’s ecosystem.
• Provide backend coding expertise for seamless data and workflow integration.
• Collaborate with Power BI/Snowflake experts to ensure accurate reporting and analytics.
• Partner with business stakeholders to scope integration phases and deliver technical recommendations.
• Troubleshoot and optimize existing integrations to improve reliability and performance.

Part-Time MS Dynamics Developer

QA Engineer

• Validate AI-driven features and ensure model reliability across enterprise-grade applications.
• Collaborate with product, data science, and engineering teams to understand AI use cases and define test strategies.
• Design and execute test cases for LLM-based features such as summarization, classification, conversational flows, and content generation.
• Validate model outputs for factual accuracy, tone, relevance, and compliance with domain-specific standards.
• Develop automated test scripts and frameworks for prompt-response validation and regression testing.
• Evaluate ML models using metrics like precision, recall, F1-score, and domain-specific thresholds.
• Conduct integration testing across cloud platforms (e.g., AWS, Azure, GCP) and data environments (e.g., Snowflake, Databricks).
• Document test results, anomalies, and improvement suggestions in structured formats.
• Ensure ethical AI practices and compliance with data governance policies.

Generative AI Tester

Data Engineer

• Collaborate with business stakeholders to gather and analyze requirements, ensuring alignment with project objectives.
• Architect and implement ML models for supply chain and inventory management use cases.
• Work with Python, Databricks, and Snowflake for data preparation, modeling, and pipeline development.
• Leverage AWS services to build, deploy, and scale ML solutions in production environments.
• Apply advanced algorithms including time series forecasting, regression, LSTM, neural networks, and classification models.
• Drive discussions, present solutions, and take full ownership of the end-to-end ML delivery process.
• Continuously monitor, evaluate, and optimize model performance.

Senior Data Engineer

Marketing Operations

• Enablement & Collateral Development: prepare sales presentations and decks, brief designers for visuals, develop white papers and industry reports, collaborate on blog and website content, ensure sales teams have up-to-date marketing materials and case studies
• Social Media & Content Distribution: publish and schedule LinkedIn posts, blogs and content assets, manage content repurposing, coordinate with designers and handle copywriting, maintain editorial calendar, engage on LinkedIn and monitor brand mentions
• Campaign Execution & Management: implement and manage digital marketing campaigns across LinkedIn and Google (Search, GDN & YouTube), coordinate paid media and budget tracking, track and optimize SEO/SEM strategies, monitor and adjust campaigns
• Reporting & Analytics: track key marketing KPIs and generate weekly/monthly reports, analyze marketing data to optimize campaigns, provide insights and recommendations
• Marketing Tech Stack, CRM & Lead Management: oversee marketing tools and automation (Zapier, HubSpot, Google Analytics, Search Console, scheduling platforms), integrate tools, research CRM tools, develop automated lead-nurturing workflows, organize contact lists, track conversion rates
• Outreach Support (Events, Podcasts & Email Marketing): research and outreach to podcasts and event organizers for CEO appearances, schedule/coordinate speaking engagements, assist pre/post event promotion, set up and manage email campaigns, optimize email sequences, track open rates and CTRs
• Business Development & Cross-Functional Coordination: conduct competitor and industry research, provide market positioning insights, identify new marketing opportunities, collaborate with sales/product/leadership, maintain project timelines, support ad hoc initiatives

Infrastructure & DevOps Engineer – AWS SageMaker Unified Studio

Senior Data Scientist

Part-Time MS Dynamics Developer

Generative AI Tester

Senior Data Engineer

Marketing Operations Manager