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Remote senior ML role with strong demand, but niche senior requirements reduce applicant pool.
Requires specialized ML/AI and MLOps experience, moderately limiting cross-industry transferability.
Explicit 9+ years and mandatory ML, MLOps, and LLM expertise make filters highly stringent.
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Design and develop AI/ML architectures and solutions focused on NLP, machine vision, AI, and generative AI models like LLMs.
Translate client business use cases into technical designs, lead solution decisions, and review architecture for scalability, security, and NFR compliance.
Drive deployment including MLOps practices and develop AI agents within multi-agent systems for autonomous decision-making.
9+ years of total work experience.
Strong hands-on expertise in machine learning including NLP, machine vision, AI architecture design, and implementation on cloud infrastructure.
Proficient in Python (with libraries like Pandas, NumPy), deep learning frameworks (TensorFlow, PyTorch, or JAX), SQL, and MLOps tools (MLflow, Kubeflow, Docker, Kubernetes).
Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.
Experienced in designing scalable, secure AI/ML solutions addressing complex client requirements across enterprise environments.
Skilled in practical application of advanced AI models such as LLMs, GANs, VAEs, prompt engineering, and generative AI frameworks.
Demonstrated ability to lead technical design decisions, perform root cause analyses, and align technology solutions with business use cases.