Sr. MLOPs Engineer with GCP

Job Description: Job Title: Sr. MLOPs Engineer with GCP Location: Mahwah, NJ Job type: Hybrid- 3days/week Length of Assignment: Long term Contract Job Description: Design and implement machine learning models and pipelines for real-world applications. Build and maintain robust ML pipelines using tools like Vertex AI Pipelines and Terraform for infrastructure-as-code. Develop CI/CD templates and configuration management for ML workflows. Implement onboarding and monitoring processes for deployed ML models. Integrate and manage knowledge graphs and vector databases to support semantic search and retrieval-augmented generation (RAG) systems. Collaborate with cross-functional teams to translate business problems into ML solutions. Develop and maintain scalable data pipelines and model serving infrastructure. Conduct rigorous testing, validation, and performance tuning of models. Contribute to architecture design, code reviews, and technical roadmaps. Stay current with the latest ML research and tools and apply them pragmatically. Mentor junior engineers and promote best practices in ML engineering. Mandatory Skills • Bachelor’s or master’s degree in computer science, Engineering, Mathematics, or a related field. PhD is a plus. • 5+ years of experience in machine learning, data science, or AI engineering. • Proficient in Python and libraries like Scikit-learn, TensorFlow, PyTorch, XGBoost, etc. • Strong understanding of machine learning algorithms, deep learning architectures, and statistical methods. • Hands-on experience building and deploying ML models in cloud environments (GCP, AWS, or Azure). • Experience with containerization tools (Docker, Kubernetes) and ML workflow tools (MLflow, TFX). • Familiarity with big data technologies such as Spark, Hive, or Hadoop. • Experience with Google Vertex AI and writing Terraform scripts for infrastructure automation. • Experience with CI/CD pipelines, configuration management, and onboarding/monitoring of ML systems. • Experience working with knowledge graphs and vector databases (e.g., Neo4j, Weaviate, Pinecone, FAISS). • Strong understanding of data and AI pipeline configuration and orchestration.