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Senior Machine Learning Engineer (AI/ML) Job @ Kpr sugar apperals

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 Senior Machine Learning Engineer (AI/ML) Job

Job Description

    Overview As a Senior Software Engineer in the Artificial Intelligence group, you will play a vital role in building and optimizing systems that power AI-driven solutions. Your primary focus will be on developing and deploying highly scalable, production-ready backend systems that support AI assistants, statistical models, deep learning frameworks, intelligent agents, and foundational AI services. You will collaborate with machine learning engineers and multi-functional teams to drive standard processes in software engineering, DevOps, Kubernetes-based deployments, and backend service development. Responsibilities Design and implement high-performance backend architectures that integrate seamlessly with AI-powered products. Build modular, fault-tolerant, and efficient services to support large-scale AI workloads while ensuring 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 to handle AI model deployment. Mentor and guide engineers to strengthen team expertise in backend development. Requirements Strong backend experience in Python (preferred) or Java, with expertise in building RESTful APIs, microservices, and event-driven architectures. Strong background in product development with validated experience in building scalable software solutions, along with hands-on exposure to Kubernetes and CI/CD pipelines for various AI/ML applications. Proficiency in coding and algorithm development using modern programming languages, particularly Python/Java. Strong grasp of algorithms and data structures with proven expertise. Expertise in Kubernetes and container orchestration. Extensive experience with AWS, GCP, or Azure, including hands-on expertise in cloud-native services for AI workloads (e.g., S3, Lambda, EKS/GKE/AKS, DynamoDB, RDS, etc.). Exceptional problem-solving skills with the ability to balance scalability, maintainability, and performance trade-offs optimally. Preferred Experience Proven product development experience in a product-based organization. Familiarity with cybersecurity, observability, or related domains to enhance AI-driven decision-making. Prior experience working with AI/ML pipelines, model-serving frameworks, or distributed AI workloads. Note,

Employement Category:

Employement Type: Full time
Industry: IT Services & Consulting
Role Category: Not Specified
Functional Area: Not Specified
Role/Responsibilies: Senior Machine Learning Engineer (AI/ML) Job

Contact Details:

Company: Splunk
Location(s): Hyderabad

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Keyskills:   Python Java RESTful APIs microservices Kubernetes AWS GCP Azure algorithms data structures

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