AI/ML Engineer

Role: Innovation & Strategy Location: Miami, FL Remote but resource must be flexible to travel once in a month 6 months duration • Stay current with emerging AI technologies, research, and industry trends • Evaluate new AI capabilities for potential business impact • Lead proof-of-concept (POC) initiatives for cutting-edge AI technologies • Contribute to AI governance and ethical AI practices • Drive innovation in AI/ML methodologies and applications • Technical Skills • AI/ML Frameworks: Deep expertise in TensorFlow, PyTorch, JAX, or similar frameworks • AI Agents: Expertise in Microsoft Copilot, ChatGPT, Claude.ai, and custom agent frameworks. • Programming: Proficiency in Python, and at least one of Java, Scala, or C++ • Cloud Platforms: Experience with AWS, GCP, or Azure AI/ML services • MLOps Tools: Hands-on experience with MLflow, Kubeflow, SageMaker, or similar platforms • Big Data: Knowledge of Spark, Kafka, and distributed computing systems • Containerization: Experience with Docker, Kubernetes, and microservices architecture • Databases: Familiarity with SQL/NoSQL databases and vector databases Domain Knowledge • Understanding of various ML paradigms: supervised, unsupervised, reinforcement learning • Experience with deep learning architectures: CNNs, RNNs, Transformers, etc. • Knowledge of NLP, computer vision, or recommendation systems • Familiarity with LLMs and generative AI technologies • Understanding of AI ethics, bias detection, and responsible AI practices Preferred Qualifications • Published research or contributions to open-source AI projects • Experience with edge AI and model optimization techniques • Knowledge of quantum computing applications in AI • Certifications in cloud AI services (AWS ML, Google Cloud AI, Azure AI) • Experience in regulated industries (healthcare, finance, etc.)o Track record of building and leading technical teams.