Senior ML Systems Developer

2 weeks ago


bangalore, India beBeeMachineLearning Full time

Machine Learning Engineer (MLOps)This role involves designing and developing robust systems that enable efficient, reliable, and optimized model deployment at scale.Key Responsibilities:- Upgrade ML asset management systems to improve developer experience and governance.- Build and optimize model-serving infrastructure with emphasis on low-latency and cost-efficient inference.- Architect high-performance inference pipelines balancing latency, throughput, and cost across accelerator options.- Design and implement cost-optimized, enterprise-scale ML solutions.- Collaborate with cross-functional teams in a distributed environment for continuous system enhancement.Required Skills:- 5+ years of experience in software engineering with Python.- Experience with model lifecycle management tools (MLflow, Weights & Biases, or similar).- Experience with data management ecosystems (quality, transformation, cataloging).- Hands-on experience with ML frameworks, especially PyTorch.- Experience optimizing ML models using hardware acceleration (AWS Neuron, ONNX, TensorRT).- Strong experience building and operating AWS serverless architectures.- Deep knowledge of event-driven architectures, SQS/SNS, and serverless caching solutions.- Experience with containerization (Docker) and orchestration tools.- Strong understanding of RESTful API design and implementation.- Proficiency in writing clean, secure, high-quality code; familiarity with static analysis tools.- Strong analytical, problem-solving, and communication skills (written and verbal).- Solid understanding of Computer Science fundamentals—algorithms, problem-solving, complexity analysis.Benefits:- Opportunity to work with a leading technology organization focused on building highly scalable, high-performance ML model-serving infrastructure.- Collaborative and dynamic environment with experienced professionals in the field.- Professional growth opportunities through training, mentorship, and continuous learning initiatives.



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