Artificial Intelligence Engineer

Tata Communications; New Delhi; On-site; INR 1,200,000 - 1,600,000; Full time

Job summary

A global telecommunications firm is seeking an experienced Artificial Intelligence Engineer in New Delhi. This role is focused on architecting and deploying AI-enabled solutions, integrating IoT data pipelines, and automating workflows with a strong emphasis on full stack applications. Ideal candidates will have proficiency in Java and Python, as well as hands-on experience with machine learning and cloud-native platforms. The position is full-time at a mid-senior level, offering an opportunity to lead innovative projects.

Qualifications

• Proven experience in architecting software applications with real-time data and machine learning.
• Hands-on expertise in Java and Python for back-end services and ML models.
• Experience with IoT protocols like MQTT and CoAP.

Responsibilities

• Architect and deploy solutions combining ML models with full stack applications.
• Integrate data pipelines and model inference for optimized performance.
• Lead technical discussions across cross-functional teams.

Skills

Software architecture

Machine learning

Integration of IoT protocols

Java (Spring Boot)

Python

Agile methodology

DevOps practices

Tools

Docker

Kubernetes

Jenkins

Git

Kafka

AWS Kinesis

Job description

Overview

Artificial Intelligence Engineer role at Tata Communications. This description consolidates responsibilities related to architecting AI-enabled solutions, IoT data pipelines, and full stack integration.

Responsibilities

• Responsible for architecting and deploying solutions that combine machine learning models with full stack applications using Java and Python. This role focuses on integrating data pipelines, model inference, and API-driven front-end interfaces to automate workflows and optimize performance across systems. Drives implementation strategies aligned to product requirements and engineering standards.
• Understand IoT-specific requirements including data ingestion from edge devices, analytics needs, and user-facing application features.
• Lead technical discussions with cross-functional teams (e.g., hardware, cloud, analytics) to evaluate feasibility, define specifications, and assess performance and scalability for IoT solutions.
• Define and design software architecture for integrating IoT data pipelines, ML models, and full stack applications using Java and Python.
• Deliver robust features including sensor data processing, real-time analytics dashboards, and APIs for device management and control.
• Drive deployment of end-to-end IoT platforms - from data collection and ML model deployment to web/mobile access - with a focus on automation and resilience.
• Review and finalize infrastructure design including edge-cloud integration, containerized services, and streaming data solutions (e.g., Kafka, MQTT).
• Create and manage user stories for device-side logic, cloud-based processing, and visualizations, ensuring seamless interaction across systems like OSS-BSS and enterprise applications.
• Establish standards for edge computing, MLOps in IoT, and cloud-native application development (SaaS/IoT PaaS), ensuring security, scalability, and maintainability.
• Facilitate prioritization of features related to device data processing, predictive maintenance, anomaly detection, and real-time user interfaces.

Desired Skill Sets

• Strong experience architecting and delivering software applications combining real-time data, machine learning, and cloud-native full stack platforms.
• Hands-on expertise with Java (Spring Boot) and Python for both backend services and ML model implementation.
• Experience with IoT protocols (MQTT, CoAP), data streaming (Kafka, AWS Kinesis), and edge-cloud data integration.
• Deep understanding of software/application lifecycle management for connected device platforms.
• Experience working in Agile setups and DevOps pipelines with tools like Docker, Kubernetes, Jenkins, Git

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Consulting

Industries

• Telecommunications and Software Development

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