AsperAI
https://asper.aiAbout
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.
Candid answers by the company
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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Jobs at AsperAI
Kubernetes
DockerAbout 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.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Javascript
Angular (2+)
React.js
AngularJS (1.x)
Vue.jsSUMMARY:
Seeking individuals with demonstrated experience in Back-End Web Development
responsible for managing the interchange of data between the server and the users. Your
primary focus will be development of all server-side logic, definition and maintenance of the
central database, and ensuring high performance and responsiveness to requests from the
front-end. You will also be responsible for integrating the front-end elements of our AI SaaS
application modules and solve revenue-growth problems, at the intersection of demand and
supply, which are faced by the Fortune 1000 CPG/FMCG companies.
Frontend Engineer - (6-10 years’ experience)
As a Front End Web Engineer you will be responsible for building the next generation of user experiences. We need a highly motivated and skillful engineer to work with HTML, Typescript/JavaScript, and CSS/Sass and related tooling, frameworks, and libraries. Attention to detail and a dedication to deliver a high-quality, stable delivery is essential.
If you want to be part of this amazing team, this position is for you.
Key Skills:
- Proficient in at least one JavaScript framework like Angular, React, VueJS, or equivalent
- Proficient in Typescript, HTML, CSS3 usage in building large scale applications
- Expertise in front-end design and JavaScript libraries such as AngularJS, ReactJS, jQuery, and VueJS
- Passion for building a rich and innovative user experience
- Strong computer science fundamentals in design, data structures, and problem solving
- Experience in Single Page Application architecture
Description:
- Build pixel-perfect, robust and, accessible user interfaces on the web
- Drive independently a project from inception to production deployment with a strong focus on performance and robustness
- Follow our software development process including writing unit tests, perform code reviews etc.
- Ability to learn and apply new technologies quickly
- Work effectively with cross-functional teams to develop features
- Provide support for production deployments
- Demonstrate ability to deliver results on time with high quality
- Experience handling distributed vendor resources
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