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Senior Machine Learning Engineer (AI/ML)

Senior Machine Learning Engineer (AI/ML)

Splunk

5 - 9 years

0 Lacs

hyderabad telangana

Posted:1 week ago| Platform: Shine logo

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Skills Required

python java restful apis microservices kubernetes aws gcp azure algorithms data structures eventdriven architectures cicd pipelines

Work Mode

On-site

Job Type

Full Time

Job Description

Role Overview: As a Senior Software Engineer in the Artificial Intelligence group, you will be responsible for building and optimizing systems that drive AI-driven solutions. Your main focus will be on developing and deploying highly scalable backend systems to support AI assistants, statistical models, deep learning frameworks, intelligent agents, and foundational AI services. Collaboration with machine learning engineers and cross-functional teams will be essential to drive standard processes in software engineering, DevOps, Kubernetes-based deployments, and backend service development. Key Responsibilities: - Design and implement high-performance backend architectures that seamlessly integrate with AI-powered products. - Build modular, fault-tolerant, and efficient services to support large-scale AI workloads with low-latency interactions between data pipelines, inference engines, and enterprise applications. - Enhance scalability by designing distributed systems that efficiently handle AI workloads and inference pipelines. - Supervise Kubernetes-based deployments by developing and maintaining Helm charts, Kubernetes operators, and cloud-native workflows for AI model deployment. - Mentor and guide engineers to enhance team expertise in backend development. Qualifications Required: - Strong backend experience in Python (preferred) or Java, specializing in building RESTful APIs, microservices, and event-driven architectures. - Solid background in product development with hands-on experience in building scalable software solutions, Kubernetes, and CI/CD pipelines for AI/ML applications. - Proficiency in coding and algorithm development using modern programming languages like Python/Java. - Strong understanding of algorithms and data structures with proven expertise. - Expertise in Kubernetes and container orchestration. - Extensive hands-on experience with AWS, GCP, or Azure, including cloud-native services for AI workloads (e.g., S3, Lambda, EKS/GKE/AKS, DynamoDB, RDS, etc.). - Exceptional problem-solving skills with the ability to optimize scalability, maintainability, and performance trade-offs. Preferred Experience: - Proven product development background in a product-based organization. - Familiarity with cybersecurity, observability, or related domains to enhance AI-driven decision-making. - Previous experience working with AI/ML pipelines, model-serving frameworks, or distributed AI workloads.,

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Senior Machine Learning Engineer (AI/ML)