Stacktics

www.stacktics.com

3 Jobs

23 Employees

About the Company

Standing at the intersection of Cloud Computing, Data Analytics, and Digital Marketing, Stacktics has fused typically distinct disciplines into a new form of transformation that we call Digital Ecosystem Transformation. Our team has designed a framework to rapidly assess and guide the most important enhancements across People, Processes and Platforms, at enterprise scale. We are relentlessly dedicated to empowering our customers and partners, and are always pushing to move faster toward achieving our core mission of liberating teams from the status quo.

Listed Jobs

Company Name: Stacktics
Job Title: AI/ML Engineer (GCP)
Job Description: **Job title:** AI/ML Engineer (GCP) **Role summary:** Design, develop, and deploy end‑to‑end AI/ML solutions on Google Cloud Platform. Lead integration of AI models with Vertex AI, BigQuery, Cloud Storage, and enterprise data pipelines. Build dashboards, manage marketing analytics (GTM, GA4), and collaborate with data scientists and engineers to deliver measurable business outcomes. **Expectations:** • Deliver high‑quality, scalable AI/ML services aligned with business objectives. • Ensure consistent client satisfaction and proactive identification of growth opportunities. • Stay current on AI/ML advancements and implement responsible AI practices. • Mentor peers, maintain teamwork and continuous learning culture. **Key responsibilities:** 1. Architect AI/ML solutions and define technical strategy. 2. Build Bayesian, probabilistic models for prediction, classification, and decision‑making. 3. Develop, fine‑tune transformer‑based and generative AI models; apply prompt engineering, vector retrieval, and embeddings. 4. Prototype POCs, evaluate impact, design experiments balancing accuracy, interpretability, and cost. 5. Integrate AI models into GCP MLOps stack: Vertex AI Pipelines, Cloud Build CI/CD, BigQuery, Cloud Storage. 6. Design, build, and maintain scalable ETL pipelines and data workflows. 7. Create dashboards and visual analytics in Looker; drive KPI definition and insights. 8. Lead marketing analytics stack implementation (GTM, GA4, GA360). 9. Conduct testing, design test cases, troubleshoot defects. 10. Collaborate cross‑functionally with data scientists, engineers, and product owners. **Required skills:** • GCP MLOps: Vertex AI, BigQuery, Cloud Storage, Cloud Build, CI/CD pipelines • Python programming; integration of AI models with cloud AI platforms • SQL (large, dynamic analytical queries) • Bayesian modeling & probabilistic inference • Time‑series forecasting, causal inference, or incrementality measurement • Generative AI (prompt engineering, embeddings, vector retrieval) • Responsible AI principles & bias mitigation • Knowledge of Google Marketing Platform (GTM, GA4) • Experience with solution architecture and cloud‑native ML deployments **Required education & certifications:** • ≥4 years experience in AI/ML or data analytics with measurable impact • ≥3 years hands‑on Bayesian/probabilistic modeling • ≥3 years Python and SQL expertise • GCP Professional Machine Learning Engineer and/or Professional Data Engineer certifications preferred • Strong understanding of GCP services (Vertex AI, BigQuery, Cloud Storage) mandatory ---

Company Name: Stacktics
Job Title: Data Science Engineer (GCP)
Job Description: **Job Title:** Data Science Engineer (GCP) **Role Summary:** Design, develop, and deploy scalable data science solutions on Google Cloud Platform. Transform research prototypes into production-ready models, building end‑to‑end pipelines from data ingestion to monitoring, and drive actionable insights for marketing analytics. **Expectations:** - Deliver high‑quality, production‑ready models and dashboards on time. - Maintain client satisfaction and seek growth opportunities. - Exhibit a proactive, results‑oriented mindset and strong collaboration skills. - Stay current with emerging technologies and best practices. **Key Responsibilities:** - Collaborate with stakeholders and data engineers to define problems and identify data sources. - Perform exploratory data analysis, hypothesis testing, and produce actionable insights. - Design, train, and deploy ML models using Vertex AI, BigQuery, Dataflow, or Cloud Composer. - Build and maintain ETL/ELT pipelines and MLOps workflows. - Implement and optimize Marketing Mix Modeling (MMM) solutions on GCP. - Monitor production models, troubleshoot performance, and ensure reliability. - Communicate complex findings to technical and non‑technical audiences. - Contribute to Statements of Work, prospecting, and client engagement activities. **Required Skills:** - **Programming & Databases:** Python, SQL, Docker, and container orchestration. - **Cloud & Big Data:** GCP services (BigQuery, Vertex AI, Dataflow, Cloud Composer), GCP certification preferred. - **Machine Learning:** TensorFlow, PyTorch, or Scikit‑learn; hyperparameter tuning, feature engineering, and evaluation. - **Analytics & Visualization:** Statistical analysis, hypothesis testing, correlation/outlier analysis; dashboard creation with Looker Studio, Tableau, or Power BI. - **MLOps & DevOps:** CI/CD, automation, real‑time data streaming, and workflow management (Airflow/Cloud Composer). - **Marketing Domain:** Understanding of digital marketing tools (Google Marketing Platform, GA360, Google Ads, Adobe Suite), attribution modeling, A/B testing, and marketing KPIs. - **Communication:** Clear written and verbal skills; ability to present to varied audiences. - **Soft Skills:** Problem‑solving, proactive attitude, strong teamwork, and continuous learning. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Statistics, Mathematics, or related quantitative field. - Master’s or Ph.D. is a plus. - GCP certification (Professional Data Engineer or Professional Machine Learning Engineer) strongly preferred.

Company Name: Stacktics
Job Title: Site Reliability Engineer (GCP)
Job Description: **Job title:** Site Reliability Engineer (GCP) **Role Summary:** Design, build, and operate scalable cloud infrastructure and CI/CD pipelines on Google Cloud Platform (GCP). Lead technical teams through project life cycles, ensuring secure, reliable, and high‑performance delivery of applications and services. **Expectations:** - Minimum 5 years of hands‑on experience with GCP, including Terraform module development. - 5 + years in a senior SRE or DevOps position. - Proven track record of managing large‑scale, high‑availability services. **Key Responsibilities:** - Architect, deploy, configure, and maintain CI/CD infrastructure in the cloud. - Optimize development environments to increase developer productivity. - Implement and enforce infrastructure security policies, network configurations, and compliance controls. - Identify and apply performance and cost‑efficiency optimizations on GCP. - Assign, monitor, and review work of technical staff; enforce quality standards in development and deployment. - Lead implementation, integration, and ongoing validation of technical solutions. - Proactively improve reliability, performance, and operational efficiency. - Maintain issue tracking, documentation, and reporting for visibility across projects. - Recommend process improvements aligned with industry best practices. - Collaborate with data systems leaders and cross‑functional teams to align technical plans with business objectives. **Required Skills:** - Google Cloud Platform (Compute Engine, Kubernetes, Cloud Build, Cloud Monitoring, Cloud Logging). - Terraform for IaC; experience building reusable modules. - CI/CD pipeline design, Cloud Build, automation scripts. - Scripting: Python, Bash, SQL. - Networking fundamentals (TCP/IP, VPN, VPC, subnets, firewall rules). - Monitoring, logging, alerting, and incident response. - Strong analytical, troubleshooting, and communication skills. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Engineering, or related field. - GCP certifications preferred (e.g., Professional Cloud Architect, Professional Cloud DevOps Engineer).