Staff Machine Learning Engineer (L4)
New
J
JobgetherMachine learning
Must be based in India. Work remotely from eligible locations in India, including Karnataka, Tamil Nadu, Telangana, Maharashtra, and New Delhi.Full-TimeStaff
Salary not disclosed
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Job Details
- Experience
- At least 8 years of applied machine learning or artificial intelligence experience
- Required Skills
- AWSPythonGCPMachine LearningMicrosoft AzureLLM
Requirements
- At least 8 years of applied machine learning or artificial intelligence experience.
- Track record of independently owning technically ambitious systems from design through implementation and production.
- Strong programming skills in Python and experience building maintainable, efficient, production-ready ML applications.
- Hands-on experience building and deploying cloud-based services using AWS, Google Cloud Platform (GCP), or Microsoft Azure.
- Experience with high-volume data, streaming pipelines, real-time inference workloads, and diverse data storage technologies.
- Strong understanding of statistical machine learning algorithms, transformer models, and large language models.
- Ability to evaluate ML techniques, formulate testable hypotheses, design experiments, and translate findings into reliable software.
- Demonstrated technical leadership through architectural guidance, design reviews, mentorship, and shared engineering practices.
- Ability to take complex projects from concept to delivery and work effectively with ambiguous requirements.
- Preferred: Experience building autonomous agents for multi-turn conversations with long-term context.
- Preferred: Experience modeling user behavior and applying causal inference or counterfactual methods when full randomization is not possible.
- Must be based in India.
Responsibilities
- Design, develop, and deploy machine learning functionality for intelligent engagement and personalized customer experiences.
- Lead technical initiatives from early research and experimentation through production deployment.
- Design experiments to test hypotheses, measure performance, and validate potential improvements.
- Investigate and apply large language models, LLM orchestration, retrieval-augmented generation, and contextual intelligence.
- Build and optimize production ML services for high-volume data processing, streaming workloads, and real-time inference.
- Develop capabilities that help applications and AI agents maintain customer context and deliver personalized experiences.
- Evaluate and integrate AI frameworks, development stacks, and automation tools.
- Promote engineering standards through design reviews, technical guidance, and mentorship.
- Collaborate with product, engineering, and other stakeholders to align technical solutions and deliver work.
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