Senior Machine Learning Engineer
Skyflow (company site, opens in a new tab)8+ yrsRemoteDirect career pageEst. 35–60 LPA
Posted on 1 Sept
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Job description
Structured overview of role & requirements
About This Role
- Own end-to-end design, development, deployment, and optimization of ML models and pipelines, including data ingestion, training, evaluation, and monitoring for production use.
- Proactively improve ML model reliability, observability, and performance, including GPU performance optimization and risk mitigation for LLMs and agentic systems.
- Build and maintain privacy APIs, backend infrastructure for large-scale data and privacy workflows, and develop SDKs, templates, and documentation to mainstream ML model shipping.
Minimum Requirements
- 8+ years of machine learning experience.
- Proficiency in Go or Python programming language.
- Hands-on experience with ML libraries (NumPy, Pandas, Scikit-learn), deep learning frameworks (TensorFlow or PyTorch), and designing production ML systems, especially NLP/NER focused.
- Work Experience Required: 8+ years in Machine Learning.
Ideal Candidate Profile
- Experienced in building high-throughput, low-latency ML systems and comfortable working on scalable distributed systems.
- Strong background in advanced ML architectures with focus on language models and practical deployment challenges including performance engineering.
- Capable of developing privacy-sensitive ML infrastructures and observability tooling for ML lifecycle monitoring.