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Amrita Vishwa Vidyapeetham, Amritapuri Campus is inviting applications from qualified candidates for the post of AI ML Research Engineer For Details Contact: hr-cybersecurity@am.amrita.edu Apply Now Job Title AI ML Research Engineer Required Number 2 Qualification Bachelors or Masters in Computer Science, Electrical Engineering, Data Science, or a related field or equivalent demonstrable experience. Strong Python and hands-on experience with a deep learning framework (PyTorch preferred). Solid grasp of ML fundamentals: training and evaluation, overfitting, cross-validation, and how to read a metric honestly (sensitivity, specificity, balanced accuracy, confidence intervals). Comfort running and debugging experiments on GPUs, and using experiment-tracking tools (e.g. Weights & Biases). Version control with Git as a normal part of your workflow. Job Description We are seeking two AI/ML Research Engineers to expand our experimental capacity across these projects. Reporting to the project leads, the successful candidates will design and execute machine learning models, develop and refine model training pipelines, and ensure that results are rigorous, reproducible, and ready to support publications and patent filings. This is a hands-on research engineering role at the core of the laboratorys scientific output, with clear opportunities for authorship and professional growth. Key Responsibilities Design and execute experiments. Plan and run machine learning experiments across model architectures, hyperparameters, and random seeds, managing multiple investigations in parallel. Develop model pipelines. Implement, refine, and debug training pipelines, including model architectures, loss functions, augmentation strategies, and training procedures. Ensure experimental rigor and reproducibility. Follow the laboratorys experimental protocols and maintain complete experiment records configurations, code versions, dataset versions so that all results are fully reproducible. Work with clinical datasets. Preprocess, curate, and build data pipelines for complex real-world medical datasets, supporting both internal and external (multi-site) validation. Support scientific outputs. Generate the experimental evidence results, ablations, tables, and figures underpinning publications and patent filings, contributing as a co-author where appropriate. Collaborate across the team. Communicate findings clearly to project leads and clinical stakeholders, and contribute to the laboratorys shared research knowledge base. Document work and methods. Maintain clear documentation of experiments, pipelines, and data-processing steps, and contribute to protocols and technical write-ups that enable others to understand and reproduce the work Job Category Project Last Date to Apply August 10, 2026 .
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.