ApplySarthiML Ops Engineer
Anaplan
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Skills named in this job
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This role on the market
518 open ops roles across 141 companies are on ApplySarthi right now, most of them in Bengaluru (52), Hyderabad (41), Delhi NCR (13).
- Senior Ops Tech SpecialistPayoneer
- People Ops (HR & Recruitment) - InternScoreplay
- Senior Analyst, Business Partnership - Merchant OpsCheckout.com
- Sr Solution Architect, Ad Tech Ops, Prime Video AdvertisingAmazon.com Services LLC
- Client Ops Manager IIIJPMorgan
What ops roles keep asking for: AWS (20%), Linux (14%), Excel (13%), Supply chain (12%), SQL (12%) — counted across their open postings here.
AWS jobs · Ansible jobs · Azure jobs · CI/CD jobs
Anaplan has 149 open roles listed here.
- Senior Platform/Dev Ops Engineer
- Senior Platform/Dev Ops Engineer
- AVP, Data, Analytics & AI Engineering
- AVP, Data, Analytics & AI Engineering
- IT Experience Intern
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for ops roles keep coming back to AWS, Linux, Excel, Supply chain. Practise those questions before you sit with Anaplan.
Questions you are likely to be asked
- Why do you want to join Anaplan?
- What is your experience with Observability? Tell me one thing you learned the hard way.
- How did you know your model was actually good, and not just good on your test set?
- Tell me about a time the data was messy or wrong. What did you do?
- How would you explain your model's result to someone who is not technical?
Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.
Practise the ML Ops Engineer at Anaplan interview free →At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.
What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.
Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.
Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small.
Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!
Role Overview
We are seeking a ML Ops Engineer to join our Platform Engineering team at Anaplan. In this role, you will design, scale, and maintain high-performance MLOps and LLMOps infrastructure supporting our cutting-edge AI-infused scenario planning platform.
You will work closely with Data Scientists, ML Engineers, and Cloud Infrastructure teams to streamline model training, deployment, and inference while ensuring optimal GPU utilisation, reliability, and cost-efficiency.
Your Impact
- Provision and manage cloud-native AI/ML infrastructure utilising Kubernetes, Docker, and GPU orchestration frameworks (e.g., NVIDIA GPU Operator, Slurm, or Ray).
- Automate core platform infrastructure using Infrastructure as Code (IaC) tools like Terraform, Helm, and Ansible.
- Optimise GPU compute workloads, high-speed networking, and storage for efficient model training and low-latency inference.
- Build and maintain robust CI/CD and MLOps pipelines for continuous model training, evaluation, packaging, and production deployment.
- Deploy Large Language Models (LLMs) and generative AI workloads using advanced inference engines (e.g., Triton Inference Server, vLLM, TensorRT-LLM).
- Enable automated model validation, monitoring for model drift, data drift, and latency bottlenecks.
- Monitor and optimise cloud spend across high-cost GPU/CPU clusters across AWS, GCP, or Azure.
- Implement auto-scaling strategies, spot instance policies, and dynamic resource allocation to eliminate infrastructure waste.
- Establish benchmarking and telemetry to track unit economics and throughput for training and serving AI models.
- Implement end-to-end observability using tools like Prometheus, Grafana, OpenTelemetry, and Weights & Biases or MLflow.
Your Skills
- Hands-on production experience in DevOps, Site Reliability Engineering (SRE), or Platform Engineering, with some experience dedicated to AI/ML infrastructure.
- Proven track record of deploying, scaling, and operationalising machine learning models and LLMs in cloud-native production environments.
- Demonstrated experience managing compute-intensive GPU infrastructure and high-performance computing (HPC) environments.
- Advanced proficiency in Kubernetes (K8s), Docker, Helm, KubeFlow, and service meshes (e.g., Istio).
- Hands-on experience with Terraform, Ansible, GitHub Actions, ArgoCD, or Jenkins.
- Experience with vLLM, Ray, MLflow, LangChain / LangSmith, DeepSpeed, or Hugging Face TGI.
- Solid background in AWS / GCP / Azure, Kubecost, and GPU cost optimisation techniques.
- Strong skills in Python, Bash, or Go; deep knowledge of Linux kernel tuning and performance monitoring.
Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)
We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
Fraud Recruitment Disclaimer
It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.
Anaplan does not:
- Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.
- Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.
All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.
Candidate data processed during our recruitment activities is handled in accordance with our Candidate Privacy Notice. This may include the use of artificial intelligence or automated tools to assist our team in evaluating qualifications.
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Listed on greenhouse · posted 2026-08-13. ApplySarthi collects openings and links to application pages; the role is advertised by Anaplan, not by us.