Skysoft Inc.

Senior Machine Learning Engineer with GCP

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Machine Learning Engineer with GCP, offering a contract length of "unknown" at a pay rate of "unknown." Key skills include 7+ years in Data/ML Engineering, 4+ years on GCP, and expertise in ML solutions, TensorFlow, and Python.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
560
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🗓️ - Date
June 19, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Programming #Monitoring #Python #BigQuery #PySpark #TensorFlow #Model Optimization #Dataflow #Automation #Terraform #Forecasting #GCP (Google Cloud Platform) #Data Engineering #Anomaly Detection #ML (Machine Learning) #Spark (Apache Spark) #PyTorch #SQL (Structured Query Language) #GitLab #Cloud #NLP (Natural Language Processing) #Scala #AI (Artificial Intelligence) #REST API #GitHub #REST (Representational State Transfer)
Role description
ML Engineer (GCP) – Finance Data & AI Platform Position Overview This role will help design, engineer, and operationalize scalable machine learning and AI solutions across enterprise finance platforms, Finance, planning, forecasting, KPI intelligence, semantic modelling, and executive reporting ecosystems. The ideal contractor will possess strong hands-on implementation expertise across ML engineering, GCP data services, MLOps, feature engineering, and enterprise finance analytics. This is a highly technical delivery-focused role requiring the ability to operate independently in a large-scale enterprise environment. Key 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 Required Qualifications • 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. ML & AI Technologies • TensorFlow • PyTorch • Scikit-learn • XGBoost • Time-series forecasting • NLP / LLM frameworks • Feature engineering • Model optimization Programming & Engineering • Python • SQL • PySpark / Spark • REST APIs • CI/CD pipelines • GitHub / GitLab • Terraform preferred Preferred Certifications • GCP Professional Machine Learning Engineer • GCP Professional Data Engineer • TensorFlow Developer Certification • Sample Finance AI Use Cases