🎁 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 →
Avaali is looking for an AI/ML Engineer to build and deploy intelligent machine learning solutions that power enterprise automation and digital transformation. This is a hands-on engineering role where you'll work closely with Data Scientists, Software Engineers, Product teams, and business stakeholders to design, develop, deploy, and optimize scalable AI/ML models across a variety of business use cases. You will play a key role in transforming research into production-ready AI solutions while ensuring performance, scalability, and operational excellence. Responsibilities Design, develop, train, and optimize machine learning and deep learning models for enterprise business applications. Research, evaluate, and prototype new machine learning algorithms, AI techniques, and emerging technologies. Work with structured and unstructured datasets, performing data preprocessing, feature engineering, and data transformation. Deploy machine learning models into production environments with a focus on scalability, reliability, and performance. Build APIs, automation pipelines, and integration workflows to operationalize AI models within enterprise applications. Collaborate with Data Scientists, Software Engineers, Product Managers, and business stakeholders to translate business problems into AI-driven solutions. Monitor production model performance and implement model retraining, optimization, and lifecycle management strategies. Implement MLOps best practices including CI/CD pipelines, model versioning, monitoring, and automated deployment. Ensure AI solutions follow best practices for performance, maintainability, scalability, and cloud-native deployment. Stay current with advancements in Machine Learning, Generative AI, and emerging AI technologies, recommending improvements to existing solutions. Qualifications 3–5 years of experience developing and deploying Machine Learning or AI solutions. Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field. Strong programming skills in Python with hands-on experience using TensorFlow, PyTorch, Scikit-learn, or similar ML frameworks. Experience working with SQL, Pandas, Apache Spark, and large-scale structured and unstructured datasets. Experience deploying machine learning models on cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP). Strong understanding of MLOps practices including CI/CD, model versioning, monitoring, and ML lifecycle management. Experience building REST APIs, microservices, and deploying applications using Docker and Kubernetes. Strong analytical, problem-solving, and debugging skills with the ability to work independently and collaboratively. Experience with Generative AI, Large Language Models (LLMs), NLP, Computer Vision, or Time-Series Analytics is an added advantage. Familiarity with MLflow, Kubeflow, SageMaker, Responsible AI, AI Governance, and Ethical AI practices is preferred. Tools & Technologies You Will Use Python, TensorFlow, PyTorch, Scikit-learn SQL, Pandas, Apache Spark AWS, Microsoft Azure, Google Cloud Platform (GCP) Docker, Kubernetes MLflow, Kubeflow, Amazon SageMaker REST APIs & Microservices MLOps, CI/CD Pipelines & Model Monitoring Generative AI & Large Language Models (LLMs) Natural Language Processing (NLP), Computer Vision, Time-Series Analytics AI Governance & Responsible AI Frameworks About Avaali Solutions Avaali Solutions is a leading enterprise automation and AI company specializing in Intelligent Automation, Enterprise Content Management (ECM), Workflow Automation, OCR, Digital Transformation, Procure-to-Pay (P2P), and Agentic AI solutions. Our AI-powered products and services help global enterprises automate business-critical processes across Manufacturing, BFSI, Retail, Healthcare, Government, and Shared Services. As we continue to expand our AI practice, we're looking for passionate AI/ML Engineers who can build scalable, production-ready machine learning solutions and drive innovation across enterprise AI initiatives.
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.