Lead Product Consultant : Network Automation + Cloud architect + Data Scientist

Position: Lead Product Consultant : Network Automation + Cloud architect + Data Scientist

Location: Bangalore

Experience: 12+ years

About Team :The services automation team aims to use AI and automation to solve Customer's business problems. All customers have unique challenges. This team understands the customers challenges, identifies ways to optimise solution delivery, proposes solution based on customer technology needs and delivers them with quality in a timely manner. The most interesting aspect of the role is, each customer solution brings unique challenges and hence the role requires continuous technical upskilling based on market trends.

Responsibilities:

• Work in a consultative manner with consultants, product managers, customers, system engineering, support, sales and customer services to scope the work and deliver projects.
• Run requirements and scoping workshops with the stake holders, delivery partners, and sales.
• Involved in solution deployments, network Automation and implementations.
• Evaluate customer solutions for performance, scalability, and security and provide feedback.
• Develop and maintain an in-depth technical knowledge of the Juniper Networks products. Work with the internal Juniper Networks technical teams for placement of products and feature improvements for reliability, availability, and serviceability.
• Develop advanced ML/AI models leveraging both structured and unstructured datasets for batch and online inferencing use cases within the Customer services domain.
• Collaborate with partners including the executive, product, data, and operations teams to transform business priorities into ML/AI problems and develop solutions.
• Work with MLOps specialists to manage the full life cycle of model development from concept to production.
• Collaborate with data and analytics specialists to strive for greater functionality in our data systems.
• Identify trends and patterns from datasets to scope opportunities for automation.
• Work closely with colleagues and customer personnel to help design, test, automate and plan for deployments of new products and features.
• Support Customer in the early stages of solution deployment.
• Provide appropriate training (Knowledge Transfer workshops) to Juniper Networks partners and customers.
• Reviewing customer provided (technical) information
• Providing input related to ‘best practices’ in solution design, implementation, deployment planning, and validation & verification testing
• Taking ownership of, or assisting with creating Assessment, High-Level Design, Low-Level Design. Test Plans and Implementation.

Preferred Qualifications

• Strong architecture skills, design and implementation experience.
• Experience in Microservices, domain-driven design and event-driven architectures.
• Strong JUNOS skills and excellent hands-on planning capabilities.
• Excellent and deep hands-on experience in designing / architecting large scale software solutions.
• Deep hands-on in developing software products/projects in object-oriented Python.
• Sound knowledge of SOLID principles, GoF patterns, cloud-native design patterns and experience in Designing Multi-cloud Environments.
• Architecting and developing secure solutions in public cloud environments such as AWS/Azure.
• Strong experience in container-based Cloud Management Platforms (Kubernetes & OpenShift), Kafka, Prometheus, Redis, ELK stack and NoSQL databases.
• Sound knowledge in Networking concepts. Good understanding of networking virtualization in Private clouds - VMware ESXi or OpenStack.
• Hands on experience in DevOps, GitHub, Code Coverage and Unit Testing. Working experience in GIT & JENKINS / GitLab and strong knowledge of branching strategies.
• Experience working with Large Language Models, Generative AI, and Conversational AI. Familiarity with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow, and NLP libraries.
• Create and maintain optimal data pipeline architecture, assembling large, sophisticated data sets that meet functional/non-functional business requirements.
• Sound knowledge in Ansible, Yang, XML, JINJA & Yaml
• Should have Network Automation fundamentals. Network Management and Telco Cloud exposure is preferable.
• Good Knowledge in Inventory tool such as NetBox / Netcracker.
• Expertise in coding best practices and secure coding practices is essential.
• Excellent written and verbal communication skills. The candidate will be involved in leading projects and hence good leadership skills are essential.
• Commitment to delivering a remarkable customer experience.

  Experience/Background Desired:

• 12+ years’ overall experience, preferably with Networking background.
• 4+ years of experience in end-to-end architecting of advanced ML and AI solutions. Strong hands-on coding skills (preferably in Python) for processing large-scale data sets and developing machine learning models leveraging both structured and unstructured data.
• Hands-on experience on Juniper devices will be a plus.