Senior Data Scientist
Automation Anywhere (company site, opens in a new tab)4+ yrsRemoteDirect career pageEst. 18–32 LPA
Posted 9h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead the development and deployment of production machine learning systems from prototype to production, focusing on reliability, accuracy, and maintainability.
- Design and implement novel ML/AI approaches, leveraging cutting-edge research for enterprise AI products, particularly in AIOps and IT operations using large-scale data.
- Collaborate cross-functionally with product managers and technical teams to align AI/ML solutions with organizational goals and ensure delivery of optimized AI systems.
Minimum Requirements
- Bachelor's degree in Computer Science, Engineering, Mathematics, or similar discipline; advanced degree in AI/ML or related field preferred.
- Minimum 4+ years of experience in ML engineering with demonstrated advanced development or research capabilities.
- Strong Python skills with ML libraries (PyTorch, TensorFlow, scikit-learn, Hugging Face) and experience with NLP, unsupervised learning, anomaly detection, and time-series forecasting.
- Experience building and operating production ML services including APIs, streaming data, SQL, containers, and cloud; location requirement: Bangalore (Onsite).
Ideal Candidate Profile
- Senior-level ML engineer with a strong background in research-driven, production-scale AI/ML system development, especially in enterprise AI environments.
- Experience and interest in AIOps, observability, or ITSM domains with ability to translate research into scalable implementations.
- Strong collaboration skills demonstrated by effective cross-functional teamwork and technical leadership, including mentoring and guiding ML engineering decisions.