Senior Machine Learning Engineer with GCP

Skysoft Inc. is looking for a Senior Machine Learning Engineer specializing in GCP to design and operationalize scalable machine learning and AI solutions across enterprise finance platforms. The role involves delivering ML solutions, building predictive analytics capabilities, and implementing MLOps processes in a large-scale enterprise environment.

Responsibilities:

• ML Engineering & AI Solution Delivery
• 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
• GCP AI/ML Platform Development
• 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
• Finance Data Platform Integration

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
• 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
• GCP Professional Machine Learning Engineer
• GCP Professional Data Engineer
• TensorFlow Developer Certification
• Sample Finance AI Use Cases