🎁 Before you apply, rehearse this interview. Create your free WorkMundi account and get an Interview Training on HelpsYouSpeak — no cost, no card. I want my training →
Role: AI/ML Engineer Location: Ahmedabad, Pune, Indore Years of Experience: 4 to 8 years Notice Period – 0-45 Days (Preferred) Must-Have (Mandatory) Machine Learning: Deep understanding of supervised, unsupervised, and reinforcement learning, model evaluation, and feature engineering. Deep Learning: Proficiency with TensorFlow, PyTorch, Keras; hands-on with CNNs, RNNs. Programming: Expert in Python (NumPy, Pandas, scikit-learn, etc.); R exposure acceptable. Big Data Technologies: Practical experience with Spark (Databricks preferred); familiarity with Hadoop/Kafka. Cloud Platforms: Azure or AWS or GCP (ML services, data storage, compute), with strong MLOps exposure. Data Warehousing & Databases: Strong SQL, NoSQL, and data modeling. Drift Detection & Monitoring: Hands-on experience with model drift detection, monitoring, and automated alerts. Data Governance: Practical experience implementing governance frameworks, lineage tracking, metadata management, and compliance. Architect scalable MLOps pipelines using Azure ML, MLflow, Databricks Asset Bundles (DAB), and CI/CD/CT Good-to-Have. Design & deploy LLM solutions (RAG, Agentic AI, MCP, prompt engineering). Build Power BI dashboards for monitoring models and reporting business KPIs. Strong grounding in statistics, hypothesis testing, and data interpretation. Apply software engineering principles for reusable, testable, and maintainable ML code. Stay up to date with Generative AI, Agentic AI, and LLMs and assess practical adoption. Mentor juniors, review code, and conduct technical knowledge-sharing sessions. Certification: Microsoft Certified: Azure Data Scientist Associate (nice to have). What We Offer: Competitive Salary Work Life Balance Professional Development Innovative Work Environment. Recognition and Rewards
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.