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Position AI/ML Engineer Industry Type IT Services Experience 1+ Years Salary As per industry standard Job Location Ahmedabad Job Description Technource is hiring a skilled AI/ML Engineer to build and deploy advanced machine learning and deep learning solutions across real-world systems. The ideal candidate will have hands-on experience with the full model lifecycle , be capable of working on face and object recognition , and integrate models into high-performance, real-time applications . Describe Skill and Experience Design, develop, and deploy ML/DL models for classification, regression, clustering, recommendation, and real-time applications. Manage end-to-end model lifecycle: data preparation, preprocessing, augmentation, training, validation, deployment, and monitoring. Build and optimize RAG-based architectures by integrating LLMs (e.g., GPT, LLaMA) with vector databases and external data sources. Develop and deploy accurate face recognition systems (e.g., FaceNet, ArcFace) and object detection with liveness detection. Prepare custom datasets, apply data augmentation, and validate models for robustness and accuracy. Deploy models using REST APIs, Docker, Kubernetes, and MLOps tools for scalable, production-grade solutions. Ensure real-time performance of AI models in production systems, including edge deployment when required. Strong skills in Python, OpenCV, NumPy, and either PyTorch or TensorFlow. Excellent debugging, optimization, and problem-solving skills on real-world datasets. Familiarity with model optimization techniques and performance scaling is a plus. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.