Subject Matter Expert (SME) ML / Technical Expert Machine Learning

Role: Subject Matter Expert (SME) ML / Technical Expert Machine Learning Location: Remote (CST Timezone) Duration: Long-term Mode of Interview: Virtual Notes: Any other Specific Ask from Client Ex-Palantir or Ex-Google with Palantir foundry work ex- mandatory About the Role We are seeking a Subject Matter Expert (SME) or Technical Expert with deep experience in building and scaling data-driven and AI-based systems — ideally with prior tenure at Palantir, Google, or comparable global tech innovators. The ideal candidate will combine hands-on technical expertise with strategic vision to drive the architecture, deployment, and optimization of next-generation AI and data platforms, including agentic AI solutions. Key Responsibilities: • Architect and lead the design of scalable data and AI platforms, ensuring performance, reliability, and security across distributed systems. • Develop and deploy agentic AI solutions — autonomous or semi-autonomous systems capable of reasoning, decision-making, and adaptive task execution. • Provide thought leadership in data architecture, analytics, and AI system design, shaping organizational AI strategies. • Collaborate cross-functionally with data scientists, engineers, and product teams to deliver end-to-end intelligent systems. • Evaluate and integrate cutting-edge tools such as Palantir Foundry, Google Cloud Platform (GCP), Vertex AI, or LangChain-based frameworks for advanced reasoning capabilities. • Mentor teams in emerging AI technologies, ensuring best practices in data management, model governance, and ethical AI deployment. Required Skills & Experience: • Proven experience at Palantir, Google, or equivalent high-scale technology environments. • Strong proficiency in Python, Java, or Scala, with experience building data pipelines, AI/ML workflows, or microservices architectures. • Expertise in data engineering, machine learning, and cloud computing (GCP, AWS, or Azure). • Deep understanding of LLMs (Large Language Models), retrieval-augmented generation (RAG), and autonomous/agentic AI systems. • Demonstrated ability to build and scale intelligent agents or AI-driven decision support systems. • Strong problem-solving, system design, and stakeholder management skills. Preferred Qualifications: • Master's or Ph.D. in Computer Science, Data Science, AI, or related field. • Prior experience leading teams in AI/ML innovation, data strategy, or enterprise AI platform development. • Familiarity with frameworks like LangChain, CrewAI, AutoGPT, or similar agentic orchestration technologies. Exposure to defense, finance, or mission-critical enterprise systems leveraging AI for automation or decision intelligence.