Deep Learning Engineer
Practise for the Deep Learning Engineer interview at Intelicore, built from the company's own job descriptions.
Covers: Computer Vision, Deep Learning, PyTorch, TensorFlow & Keras, MLOps, Python, C++, Model Optimization
other · Nāgāyalanka, Andhra Pradesh · intelicoreai.com
Practise Intelicore's interview See the open jobs
Intelicore, based in Nāgāyalanka, Andhra Pradesh, has posted 14 software jobs in the last 24 months, with 14 in the last 12 months. Roles include Machine Learning Engineer, Solution Architect, AgenticAI Engineer, Automation Engineer, and Backend Engineer. Python, Java, AWS, Data Structures & Algorithms, Microsoft Fabric, and Azure Databricks are key skills requested. Work modes include hybrid, remote, and onsite. Experience required is 3 to 12 years. The most recent posting was for Solution Architect / Technical Lead in October 2026.
Intelicore builds AI and automation solutions for enterprise clients, focusing on computer vision, process automation, and agentic AI systems. These solutions are deployed in real-world scenarios such as video analytics, workflow automation, and AI agent development.
Hiring now: 14 open positions.
Lead the technical architecture for a modernization program using Flutter, Java Spring Boot and AWS, and provide technical leadership across backend, frontend, data and DevOps teams.
Design secure, scalable enterprise solutions using Microsoft Azure, Azure Databricks and Microsoft Fabric for revenue reconciliation, account prioritisation and collections.
Builds scalable microservices for the Linkfields platform using Java Spring Boot and AWS, and mentors junior engineers.
Conducts security and performance testing to ensure the Linkfields platform meets security and scalability requirements.
Builds and deploys machine learning models for spatial intelligence, working on end-to-end projects from data cleaning to production deployment.
Builds and deploys machine learning models for the Linkfields platform on AWS.
Lead the development and deployment of machine learning models for payment risk, account prioritization, and collections optimization using Azure Machine Learning and MLflow.
Designs and develops ingestion and transformation pipelines using Microsoft Azure, Azure Databricks and Microsoft Fabric.
Builds Model Context Protocol (MCP) servers and integrates GenAI capabilities into the Linkfields platform to enable safe, structured tool use by AI agents and assistants.
Manages Microsoft Azure, Azure Databricks, and Microsoft Fabric environments, implementing secure infrastructure, automated deployment pipelines, and production monitoring.
| Month | New postings |
|---|---|
| December 2025 | 0 |
| January 2026 | 0 |
| February 2026 | 0 |
| March 2026 | 0 |
| April 2026 | 0 |
| May 2026 | 0 |
| June 2026 | 0 |
| July 2026 | 0 |
| August 2026 | 0 |
| September 2026 | 0 |
| October 2026 | 14 |
| November 2026 | 0 |
Hybrid: 57% · Remote: 29% · On-site: 14%
From the jobs on Intelicore's own careers site, and how readyforhires members measure up.
The engineering interviews likely focus on systems design, AI/ML fundamentals, and practical implementation of automation and computer vision systems. Candidates are expected to demonstrate proficiency in Python, C++, and AI agent frameworks, as well as experience with real-time inference and deployment.
Practise for the Deep Learning Engineer interview at Intelicore, built from the company's own job descriptions.
Covers: Computer Vision, Deep Learning, PyTorch, TensorFlow & Keras, MLOps, Python, C++, Model Optimization
Practise for the Automation Engineer interview at Intelicore, built from the company's own job descriptions.
Covers: RPA, API Integration, Python, Node.js, Workflow/Orchestration Tools, Scripting, Automation Pipelines
Practise for the AgenticAI Engineer interview at Intelicore, built from the company's own job descriptions.
Covers: AI Agents, LLM Orchestration, RAG, Prompt Engineering, Python, API Integration, Agent Frameworks
Practice for the Deep Learning Engineer — AI -Computer Vision opening at Intelicore: questions from its job description on Python, C++, PyTorch, TensorFlow, and on your CV.
Covers: Python, C++, PyTorch, TensorFlow, DeepStream, OpenVINO, Computer Vision, YOLO, Vision Transformers, Vision Language Models, Deep Learning Engineer — AI -Computer Vision fundamentals, Projects on your CV
Practice for the Automation Engineer – Process and Workflow Automation opening at Intelicore: questions from its job description on Python, Node.js, RPA, API Integration, and on your CV.
Covers: Python, Node.js, RPA, API Integration, Workflow/Orchestration Tools, AI/LLM, Automation Engineer – Process and Workflow Automation fundamentals, Projects on your CV
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