Full Stack Engineer - AI/ML – Partner Incentives

Cisco Systems, Inc; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Cisco Systems, Inc in Hyderabad is seeking a Full stack Engineer - AI/ML for Partner Incentives to build intelligent solutions, combining AI/ML with strong engineering to deliver data-driven insights and automation.

You will develop robust Python code, work with AI/ML codebases, design ML models, deploy into production, and build MLOps pipelines while integrating large language models into enterprise systems.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, AI/ML, or a related field.
• 1+ years of professional experience in AI/ML development and full-stack engineering (e.g., ReactJS, Snowflake).
• Strong proficiency in Python programming and associated data science libraries (e.g., Pandas, NumPy, scikit-learn, TensorFlow, PyTorch).
• Experience with classical ML algorithms and large language models (LLMs).
• Demonstrated ability to design and optimize MLOps pipelines for deployment and monitoring.
• Solid understanding of NLP model development and deployment.
• Hands-on experience with agentic AI frameworks and orchestration tools.
• Experience in data processing, large dataset management, and data quality assurance.
• Strong communication skills and the ability to collaborate effectively in multi-functional teams.

Responsibilities

• Work with AI/ML codebases to address Partner Incentive requirements and enable advanced business logic.
• Develop and maintain robust Python code supporting Partner Incentive solutions.
• Collaborate with data architects, business analysts, and team members to translate business requirements into scalable technical solutions.
• Design, develop, and deploy predictive models using classical ML techniques (regression, classification, clustering) with both supervised and unsupervised learning approaches.
• Translate business problems into analytical solutions focused on behavior prediction, forecasting, anomaly detection, and other decision-making use cases.
• Ensure model scalability, reliability, and performance through validation, monitoring, and continuous improvement.
• Develop and fine-tune NLP models for tasks such as customer matching and deduplication.
• Build and optimize MLOps pipelines to streamline workflows and enhance operational efficiency.
• Integrate large language models (LLMs) such as GPT-4, BERT, T5, Llama, or Mistral into enterprise systems.
• Demonstrate expertise in Agentic AI frameworks and orchestration tools (e.g., MCP protocol, A2A communication, LangGraph, or similar agent-based systems).
• Supply to technical decision-making on AI tools, frameworks, and proof-of-concept projects.
• Participate in code reviews, testing, and documentation to ensure high-quality work.
• Work with large datasets, ensuring data quality and accuracy for model training and validation.
• Deploy machine learning models into production and monitor ongoing performance, making iterative improvements.
• Stay ahead of with advancements in AI/ML technologies, frameworks, and industry standards.

Skills

Python

ReactJS

Snowflake

Pandas

NumPy

scikit-learn

TensorFlow

PyTorch

NLP

MLOps

LLMs

Agentic AI

Education

Bachelor's degree in Computer Science / Data Science

Tools

ElasticSearch

Apache Solr

Kafka

FastAPI

Oracle

Snowflake

ReactJs

Job description

Within Cisco IT, our vision is to be admired as the world’s best IT organization. The CRM Engineering and Transformation Office (CETO) is on a mission to deliver One Team. One Experience. One Cisco through CRM architecture, data frameworks, governance, and AI-driven solutions.

As part of CETO, the Sales Compensation team focuses on delivering a simplified and intuitive Seller and Partner experience. Through Partner Incentives and Metrics, we influence internal sellers and external partners to drive recurring revenue growth and business transformation. You’ll work with a highly collaborative and empowered team of engineers, architects, business analysts, and multi-functional leaders across Sales, Legal, Finance, Business Operations, and Customer/Partner Experience.

Your impact

As an Full stack Engineer - AI/ML – Partner Incentives, you’ll play a key role in building next-generation intelligent solutions that transform Cisco’s partner incentive programs. You will combine your AI/ML expertise with strong engineering principles to deliver scalable, data-driven insights and automation. In this role, you will:

• Work with AI/ML codebases to address Partner Incentive requirements and enable advanced business logic.
• Develop and maintain robust Python code supporting Partner Incentive solutions.
• Collaborate with data architects, business analysts, and team members to translate business requirements into scalable technical solutions.
• Design, develop, and deploy predictive models using classical ML techniques (regression, classification, clustering) with both supervised and unsupervised learning approaches.
• Translate business problems into analytical solutions focused on behavior prediction, forecasting, anomaly detection, and other decision-making use cases.
• Ensure model scalability, reliability, and performance through validation, monitoring, and continuous improvement.
• Develop and fine-tune NLP models for tasks such as customer matching and deduplication.
• Build and optimize MLOps pipelines to streamline workflows and enhance operational efficiency.
• Integrate large language models (LLMs) such as GPT-4, BERT, T5, Llama, or Mistral into enterprise systems.
• Demonstrate expertise in Agentic AI frameworks and orchestration tools (e.g., MCP protocol, A2A communication, LangGraph, or similar agent-based systems).
• Supply to technical decision-making on AI tools, frameworks, and proof-of-concept projects.
• Participate in code reviews, testing, and documentation to ensure high-quality work.
• Work with large datasets, ensuring data quality and accuracy for model training and validation.
• Deploy machine learning models into production and monitor ongoing performance, making iterative improvements.
• Stay ahead of with advancements in AI/ML technologies, frameworks, and industry standards.

Minimum qualifications

• Bachelor’s degree in Computer Science, Data Science, AI/ML, or a related field.
• 1+ years of professional experience in AI/ML development and full-stack engineering (e.g., ReactJS, Snowflake).
• Strong proficiency in Python programming and associated data science libraries (e.g., Pandas, NumPy, scikit-learn, TensorFlow, PyTorch).
• Experience with classical ML algorithms and large language models (LLMs).
• Demonstrated ability to design and optimize MLOps pipelines for deployment and monitoring.
• Solid understanding of NLP model development and deployment.
• Hands-on experience with agentic AI frameworks and orchestration tools.
• Experience in data processing, large dataset management, and data quality assurance.
• Strong communication skills and the ability to collaborate effectively in multi-functional teams.

Preferred qualifications

• Strong experience in building ML Models, experience in LLM including RAG, Fine tuning
• Familiar with unit and integration testing
• Familiarity with Elastic Search/Apache Solr, Kafka, FastAPI
• Familiarity with Oracle, Snowflake, ReactJs

Why Cisco?

At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.

Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.

We are Cisco, and our power starts with you.