ML Engineer (Google Cloud Platform) Finance Data & AI Platform

Role: Data / ML Engineer (FDE) | 510 years We are seeking a Data / ML Engineerto turn complex customer problems and data into productionready ML solutions with measurable business impact. This role owns the full ML lifecyclefrom opportunity identification and data readiness through deployment, monitoring, and continuous improvementworking directly with customer teams in fastpaced, outcomedriven engagement Key Responsibilities Identify data and ML opportunities, assess data readiness, and frame p

Position: AI Data Engineering Manager Location: 100% Remote Duration: Fulltime Job Summary: We are seeking experienced Data Engineering Managers to lead AI-native data platform initiatives focused on building scalable, cloud-based data and analytics solutions. The ideal candidate will have strong expertise in Google Cloud Platform, BigQuery, Python, modern data architectures, and AI/ML-enabled data ecosystems. This role requires both hands-on technical leadership and people managem

Total of 3-6 years of experience in managing machine learning projects end-to-end, with the last 18 months focused on MLOpsStrong programming skills, preferably in languages like Python, Java, or ScalaProficiency in machine learning libraries and frameworks, such as TensorFlow, PyTorch, or scikit-learnExperience with containerization technologies, like Docker and KubernetesFamiliarity with ML model deployment tools, such as MLflow or KubeflowAutomation of machine learning model deployment.

Job Role: Agentic AI/ML Engineer Location: Remote Long Term Project No C2C Only W2 Job Description: We are seeking a skilled Agentic AI/ML Engineer with a strong background in Python scripting and experience in developing AI solutions using LangChain and LangGraph. The ideal candidate will have a solid understanding of Google Cloud Platform (Google Cloud Platform) and be proficient in application to application (A2A) integrations and microservices architecture (MCP). Mandatory Skills: Profi