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Job Title: Databricks AI Engineer Experience: 7+ Years Location: Chennai Hybrid (3 Days/Week)Notice Period: Immediate to 30 days Work Type: Full-time About the Company: Our client is a global digital transformation and marketing technology services firm that helps enterprises deliver personalized, data-driven customer experiences. With strong capabilities across engineering, cloud, data, and experience design, the company partners with leading brands to build scalable, high-performance digital platforms. Their teams work on complex, high-traffic web applications using modern architectures and cloud-native technologies. Role Overview: We are seeking a highly skilled Databricks AI Engineer to design, develop, and optimize advanced AI and ML solutions on the Databricks platform. The ideal candidate will have strong expertise in data engineering, machine learning, natural language processing, and computer vision, with hands-on experience in building and deploying scalable models using Databricks tools and frameworks. Key Responsibilities: Design and implement scalable AI/ML solutions using Databricks, MLflow, Delta Lake, and Lakehouse AI.Develop and deploy machine learning models (classical ML, deep learning, and generative AI) for business applications.Collaborate with data scientists and engineers to prepare, clean, and manage large datasets for analysis and modeling.Implement NLP and Computer Vision solutions using frameworks like Hugging Face, YOLO, and ResNet.Manage model lifecycle including experimentation, versioning, deployment, and monitoring in Databricks.Ensure data governance and compliance using Unity Catalog and Feature Store. Required Skills: Proficient in Python and SQL for data analysis, modeling, and database management.Experience with regression, decision trees, SVM, deep learning (CNNs, RNNs, Transformers), and advanced AI (GNNs, RL, GANs, LLMs such as GPT-4, Claude, LLaMA).Strong in NLP (NER, sentiment analysis, summarization) and computer vision (YOLO, ResNet, segmentation, OCR).Hands-on with TensorFlow, PyTorch, Scikit-learn, Keras, Hugging Face Transformers, Spark MLlib.Expertise in Databricks Notebooks, MLflow, AutoML, Delta Lake, Unity Catalog, Feature Store, Model Serving, and Lakehouse AI.Eligibility / Qualifications:Education: Bachelors degree in IT, Computer Science, Engineering, or equivalent. .
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.