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Senior principal ML role at a known mid-tier employer in a metro but attractive AI domain, moderate applicant density.
Highly specialized AI/ML, agentic systems, and MLOps expertise limit easy transfer across non-AI industries.
Explicit years plus many mandatory ML, cloud, MLOps, and distributed-systems skills create stringent filters.
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Lead hands-on development and deployment of advanced AI-driven features across workforce agility products.
Architect and scale distributed AI systems including training pipelines, streaming data processing, and MLOps infrastructure.
Develop and tune production-scale AI/ML models (NLP, LLMs, Deep Learning, Recommender Systems, Generative AI) and build autonomous AI agents solving complex HR challenges.
Bachelor’s, Master’s, or PhD in Computer Science, Engineering, Machine Learning, or related field.
5+ years software engineering experience with at least 2+ years deploying and optimizing AI/ML applications at enterprise scale.
Proficient in AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, Scikit-Learn) and cloud platforms (AWS, Azure, GCP).
Office-based role in Hyderabad.
Experienced architect capable of designing scalable, secure AI systems and infrastructure for enterprise SaaS environments.
Deep expertise in modern AI technologies including multi-agent systems, generative AI, and operationalizing ML pipelines with MLOps.
Familiarity with HR tech or enterprise SaaS domains preferred, with strong skills in end-to-end AI/ML system integration and ethical AI implementation.