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Senior ML Ops Engineer
Senior ML Ops Engineer
AsperAI's logo

Senior ML Ops Engineer

Bisman Gill's profile picture
Posted by Bisman Gill
3 - 6 yrs
Upto ₹33L / yr (Varies
)
BLR
Skills
CI/CD
skill iconKubernetes
skill iconDocker
kubeflow
TensorFlow
PyTorch
MLOps
skill iconMachine Learning (ML)
MLFlow
Apache Airflow
Vertex
DevOps

About the Role

We are seeking a highly skilled and experienced AI Ops Engineer to join our team. In this role, you will be responsible for ensuring the reliability, scalability, and efficiency of our AI/ML systems in production. You will work at the intersection of software engineering, machine learning, and DevOps— helping to design, deploy, and manage AI/ML models and pipelines that power mission-critical business applications.

The ideal candidate has hands-on experience in AI/ML operations and orchestrating complex data pipelines, a strong understanding of cloud-native technologies, and a passion for building robust, automated, and scalable systems.


Key Responsibilities

  • AI/ML Systems Operations: Develop and manage systems to run and monitor production AI/ML workloads, ensuring performance, availability, cost-efficiency and convenience.
  • Deployment & Automation: Build and maintain ETL, ML and Agentic pipelines, ensuring reproducibility and smooth deployments across environments.
  • Monitoring & Incident Response: Design observability frameworks for ML systems (alerts and notifications, latency, cost, etc.) and lead incident triage, root cause analysis, and remediation.
  • Collaboration: Partner with data scientists, ML engineers, and software engineers to operationalize models at scale.
  • Optimization: Continuously improve infrastructure, workflows, and automation to reduce latency, increase throughput, and minimize costs.
  • Governance & Compliance: Implement MLOps best practices, including versioning, auditing, security, and compliance for data and models.
  • Leadership: Mentor junior engineers and contribute to the development of AI Ops standards and playbooks.


Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (or equivalent practical experience).
  • 4+ years of experience in AI/MLOps, DevOps, SRE, Data Engineering, or with at least 2+ years in AI/ML-focused operations.
  • Strong expertise with cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes, Docker).
  • Hands-on experience with ML pipelines and frameworks (MLflow, Kubeflow, Airflow, SageMaker, Vertex AI, etc.).
  • Proficiency in Python and/or other scripting languages for automation.
  • Familiarity with monitoring/observability tools (Prometheus, Grafana, Datadog, ELK, etc.).
  • Deep understanding of CI/CD, GitOps, and Infrastructure as Code (Terraform, Helm, etc.).
  • Knowledge of data governance, model drift detection, and compliance in AI systems.
  • Excellent problem-solving, communication, and collaboration skills.

Nice-to-Have

  • Experience in large-scale distributed systems and real-time data streaming (Kafka, Flink, Spark).
  • Familiarity with data science concepts, and frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc.
  • Full Stack Development knowledge to collaborate effectively across end-to-end solution delivery
  • Contributions to open-source MLOps/AI Ops tools or platforms.
  • Exposure to Responsible AI practices, model fairness, and explainability frameworks

Why Join Us

  • Opportunity to shape and scale AI/ML operations in a fast-growing, innovation-driven environment.
  • Work alongside leading data scientists and engineers on cutting-edge AI solutions.
  • Competitive compensation, benefits, and career growth opportunities.
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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About AsperAI

Founded :
2022
Type :
Product
Size :
100-500
Stage :
Raised funding

About

Asper.ai is a purpose-built AI for Growth platform that helps enterprise-level consumer-facing companies make smarter, faster, and more interconnected business decisions. The company’s proprietary autonomous AI engine enables intelligent planning and decision-making across demand forecasting, pricing & promotion, inventory planning and sales execution — driving revenue growth and operational agility for its clients. 


With recent strategic investment of $20M from Fractal to fuel product development and global expansion, Asper.ai is rapidly scaling its product & customer footprint while fostering a culture of innovation, collaboration and impact.

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Candid answers by the company

What does Asper.ai do?
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Who are Asper.ai’s clients?
What is Asper.ai’s mission and goal?

Asper.ai builds an AI-powered growth platform that enables interconnected, autonomous business decisions across planning and execution levers such as demand forecasting, pricing & promotions, inventory optimization, and sales execution — specifically for consumer goods, manufacturing and retail enterprises. 

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Shubham Vishwakarma

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