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10 Weeks ago

Senior Machine Learning Engineer (AI/ML)

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Bangalore, Karnataka, India
Information Technology
Full-Time
Splunk

Overview

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:

At Splunk, We provide flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out above, as well as the knowledge, skills and experience of the candidate.
Benefits are an important part of Splunk's Total Rewards package. This role is eligible for a comprehensive, competitive benefits package which may include healthcare and retirement plans, paid time off, wellbeing expense reimbursement, and much more! Learn more about our comprehensive benefits and wellbeing offering at https://splunkbenefits.com.

At Splunk, we believe creating a culture of belonging isn’t just the right thing to do; it’s also the smart thing. We prioritize diversity, equity, inclusion, and belonging to ensure our employees are supported to bring their best, most authentic selves to work where they can thrive. Qualified applicants receive consideration for employment without regard to race, religion, color, national origin, ancestry, sex, gender, gender identity, gender expression, sexual orientation, marital status, age, physical or mental disability or medical condition, genetic information, veteran status, or any other consideration made unlawful by federal, state, or local laws. We consider qualified applicants with criminal histories, consistent with legal requirements.
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