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Software Engineer - ML ,Python, TensorFlow, PyTorch, scikit-learn

Software Engineer - ML ,Python, TensorFlow, PyTorch, scikit-learn

Cisco

5 - 10 years

12 - 17 Lacs

bengaluru

Posted:5 days ago| Platform:

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Skills Required

software engineer kubernetes react sql microservices docker deep learning tensorflow java git spark pytorch jenkins graphql postgres ml front end python github maven ai llm machine learning nosql angular r agile

Work Mode

Work from Office

Job Type

Full Time

Job Description

About the role

Join the Engineering team to design and deliver the AI-driven backbone of Cisco IQ. You??ll work across multiple stacks and domains to build integrations and features that power the next generation of Cisco??s global platform.

Meet the Team

At Cisco, we believe technology has the power to connect, empower, and drive us forward. The AAA (Automation and Advanced Analytics) team is a multifaceted group of people working on big transformational, highly transparent initiatives and acquired company integrations. The Engineering team within the AAA organization is leading the charge on crafting a first-in-class digital experience for our customers and partners everywhere they connect with Cisco. We are at the epicenter of developing modern, cloud-native and AI-driven technologies that allow us to stay agile and adaptable in a constantly evolving market. Pioneers in our field, Engineering team enables customers and partners to maximize value with a simple, unified Cisco experience, driving accelerated time to impact. Join us and be a part of this exciting, ground-breaking journey.

Your Impact

In this role, you will build scalable applications, integrating diverse datasets, derive actionable insights. Your role involves sourcing, transforming raw data, designing efficient models, building scalable application engines, AI Agents and optimizing performance. Ensuring data quality, customer experience and integrity, you''ll collaborate with teams to meet analytical needs.

Key Responsibilities

Work closely with product owners and other team members to align solution designs with the project objective and architectural principles.
Review internal and external business and product requirements and develop the product .
Create documents, diagrams, and presentations to communicate solution designs and strategies to both technical and non-technical team members.
Create and establish design standards and assurance processes for software, systems and applications development.
End-to-end implementation and delivery of solutions, ensuring they meet the high standards of quality and performance.
Leverage data to enhance customer and partner experiences, generate omnichannel demand, enrich contact data, and enable AI-driven insights and automation.
Leveraging AI copilots to automate data validation and enrichment tasks.

Minimum Qualifications

Over 5-10 years of hands-on experience in machine learning engineering, backend development, and applied AI roles.
Proficient in Python and R, with expertise in ML frameworks: TensorFlow, PyTorch, scikit-learn, Hugging Face.
Experienced in operationalizing deep learning and LLM models in production environments.
Developed generative AI applications and worked with LLM frameworks (e.g., LangChain) and observability tools (e.g., LangSmith).
Skilled in designing scalable microservices architectures for real-time ML applications.
Experience using AI copilots (e.g., GitHub Copilot, Snowflake Copilot).
Experience with Apache Spark (Java) for large-scale data processing and transformation.
Proficient in Python and R for backend and ML development.
Knowledgeable in both SQL and NoSQL databases, including Postgres, DynamoDB, and Snowflake.
Proficient in building and integrating APIs (REST, FAST, GraphQL).
Hands-on experience with cloud-native technologies: Kubernetes (including CRDs), Docker, and any cloud partner like AWS.
Strong background in CI/CD, observability, and scalable deployment strategies for ML solutions.
Familiar with DevOps tools: Git, Maven, Jenkins, Helm Charts.
Builds and maintains reliable, scalable, high-performance backend services for enterprise users.
Collaborates effectively with global, cross-functional teams across time zones.

Preferred Qualifications

Knowledge of network technologies.
Committed to continuous learning with a growth mindset.
Skilled at translating business requirements into technical solutions and collaborating across functions.
Proven experience in developing AI and machine learning solutions with an AI-first approach.
Strong written and verbal communication skills; adept at presenting findings to executive audiences and turning data into actionable insights.
Experienced in Agile development environments.
Fluent in English.
Hands-on experience with multiple large language models (LLMs), including OpenAI, Anthropic, and Mistral.
Familiar with modern front-end frameworks such as React and Angular.
Experience integrating with Model Context Protocols and related tools.

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Software Engineer - ML ,Python, TensorFlow, PyTorch, scikit-learn