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We are looking for a skilled AI/ML Engineer to design, develop, and deploy scalable Artificial Intelligence and Machine Learning solutions. The ideal candidate will have strong experience in machine learning, deep learning, Generative AI, MLOps, and cloud platforms such as AWS or Azure. The role involves working closely with Data Scientists, Data Engineers, and business stakeholders to build cutting-edge AI-driven products and solutions. Key Responsibilities: - Develop, train, evaluate, and deploy machine learning models for various business use cases. - Build predictive analytics, recommendation systems, forecasting models, and anomaly detection solutions. - Design and implement Generative AI applications using Large Language Models (LLMs). - Develop Retrieval-Augmented Generation (RAG) solutions and AI-powered chatbots. - Perform data preprocessing, feature engineering, model tuning, and performance optimization. - Build scalable data pipelines for AI and ML workloads. - Deploy and manage machine learning models in production environments. - Implement MLOps best practices, including model monitoring, versioning, and CI/CD automation. - Collaborate with cross-functional teams to gather requirements and deliver AI solutions. - Ensure model reliability, scalability, security, and compliance with organizational standards. Required Skills: - Python, SQL - Machine Learning and Deep Learning - TensorFlow, PyTorch, Scikit-Learn - Generative AI, LLMs, Prompt Engineering - LangChain, LlamaIndex, RAG - Apache Spark / PySpark - Docker, Kubernetes - MLflow, Kubeflow - AWS or Azure Cloud - Git, CI/CD Pipelines Preferred Skills: - Experience with OpenAI, Llama, Claude, or similar LLMs - Vector Databases (Pinecone, ChromaDB, Weaviate, FAISS) - MLOps and Model Monitoring - Data Engineering and ETL Pipelines - AI Governance and Responsible AI Qualifications: - Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field. - 5+ years of experience in AI/ML development and deployment. - Experience building and deploying production-grade AI solutions. Soft Skills: - Strong analytical and problem-solving abilities. - Excellent communication and stakeholder management skills. - Ability to work independently and in a collaborative environment. - Strong ownership mindset and attention to detail. .
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.