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Remote senior ML role at a known services firm with niche skills yields moderate applicant density.
Highly specialized ML/LLM and MLOps requirements limit cross-industry transferability.
Explicit 11+ years requirement and many mandatory ML, LLM, and MLOps skills make filters strict.
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Lead design and implementation of AI/ML architecture and solutions focusing on NLP, machine vision, and autonomous AI agents.
Translate client business and technical requirements into scalable, secure, and extensible technical designs while guiding developers.
Define benchmarks for non-functional requirements and conduct POCs to validate technology choices and solution effectiveness.
11+ years of professional experience in machine learning and AI solution delivery.
Bachelor’s or master’s degree in Computer Science, Information Technology, or related field.
Proficiency in Python, deep learning frameworks (TensorFlow, PyTorch, JAX), SQL, and experience with MLOps tools like MLflow, Kubeflow, Docker, Kubernetes.
Experience in designing, developing, and deploying multi-agent AI systems, LLMs, Generative AI frameworks, and handling AI ethics / responsible AI practices.
Experienced in translating complex business use cases into technical AI/ML architectures with attention to non-functional requirements.
Strong strategic decision-maker in solution design who can evaluate multiple options and justify technology choices.
Comfortable working across teams and stakeholders to review and validate AI system designs at scale and security levels.