Machine Learning Engineer with GCP , Finance & Enterprise

TechClub Inc is seeking a Machine Learning Engineer with expertise in GCP to design and operationalize scalable machine learning solutions for enterprise finance platforms. The role involves developing ML models, building predictive analytics capabilities, and integrating finance data platforms.

Responsibilities:

• Design, develop, test, and deploy enterprise ML solutions on GCP
• Build predictive analytics and intelligent automation capabilities for Finance
• Develop ML models supporting:
• Financial forecasting
• Variance analysis
• Cost optimization
• Operating Income prediction
• Cash flow forecasting
• Financial anomaly detection
• Develop GenAI and NLP-based finance insight capabilities
• Build scalable ML pipelines using:
• Vertex AI
• BigQuery ML
• Dataflow
• Dataproc
• Cloud Composer
• Pub/Sub
• Cloud Functions
• Engineer reusable feature pipelines and metric-serving frameworks
• Implement production-grade MLOps processes including:
• CI/CD automation
• Model versioning
• Monitoring
• Drift detection
• Automated retraining
• Work with enterprise finance datasets from:
• SAP S/4HANA
• SAP FI/CO
• BW/BPC
• Anaplan
• BigQuery
• Enterprise APIs
• Develop AI-ready finance semantic datasets
• Partner with Data Engineering and Semantic teams to optimize feature consumption
• Align ML solutions with enterprise architecture standards
• Support auditability, governance, lineage, and compliance requirements
• Ensure scalable, secure, and production-ready implementation patterns
• Participate in architecture reviews and technical design discussions

Requirements:

• 7+ years of overall experience in Data Engineering / ML Engineering
• 4+ years of hands-on experience implementing ML solutions on GCP
• Strong enterprise delivery experience in large-scale environments
• Experience deploying ML models into production ecosystems
• Strong understanding of scalable cloud-native architectures
• Vertex AI
• BigQuery / BigQuery ML
• Dataflow
• Dataproc
• Cloud Composer
• Pub/Sub
• Cloud Storage
• IAM
• Cloud Functions
• TensorFlow
• PyTorch
• Scikit-learn
• XGBoost
• Time-series forecasting
• NLP / LLM frameworks
• Feature engineering
• Model optimization
• Python
• SQL
• PySpark / Spark
• REST APIs
• CI/CD pipelines
• GitHub / GitLab
• Terraform preferred
• Strong preference for experience with SAP S/4HANA Finance
• FP&A
• Financial reporting
• Forecasting & planning
• KPI engineering
• Finance semantic models
• Enterprise data governance
• Strong communication and presentation skills
• Ability to work independently with minimal oversight
• Strong stakeholder collaboration abilities
• Strong problem-solving and analytical thinking
• Ability to operate in fast-paced enterprise programs
• CVS or healthcare industry experience preferred
• Experience supporting Finance transformation initiatives
• Experience with Anaplan
• SAP Analytics Cloud (SAC)
• Tableau
• Power BI
• Sigma Computing
• Experience building AI-enabled executive reporting solutions
• Experience working in highly governed enterprise environments
• GCP Professional Machine Learning Engineer
• GCP Professional Data Engineer
• TensorFlow Developer Certification