Machine learning engineer

3 weeks ago

Bengaluru, India Recro Full time

Role - MLOpsLocation - RemoteExperience - 5 + YrsResponsibilities:● Build and optimize model serving infrastructure with a focus on inference latency and costoptimization● Architect efficient inference pipelines that balance latency, throughput, and cost acrossvarious acceleration options● Develop monitoring and observability solutions for ML systems● Collaborate with ML Engineers to establish best practices for optimized model deployment● Implement cost-efficient, enterprise-scale solutions● Collaborate in a cross-functional, distributed team for continuous system improvement● Work with MLEs, QA Engineers, and Dev Ops Engineers● Evaluate and implement new technologies and tools● Contribute to architectural decisions for distributed ML systemsExperience and Qualifications:● 5+ years of experience in software engineering with Python● Experience with ML frameworks, particularly Py Torch● Experience optimizing ML models with hardware acceleration (AWS Neuron , ONNX,Tensor RT)● Experience with AWS ML services and hardware-accelerated instances (Sagemaker,Inferentia, Trainium)● Proven experience building and operating AWS serverless architectures● Deep understanding of event-driven processing patterns, SQS/SNS and serverless cachingsolutions● Experience with containerization using Docker and orchestration tools● Strong knowledge of RESTful API design and implementation● Proficiency in writing good quality & secure code and be familiar with static code analysistools● Excellent analytical, conceptual and communication skills in spoken and written English● Experience applying Computer Science fundamentals in algorithm design, problem solving,and complexity analysis

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