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Our client is seeking a passionate Machine Learning Engineer to join a growing team delivering cutting-edge AI solutions for a diverse client base. This is an exciting opportunity for an experienced professional who enjoys building production-ready machine learning applications, working with modern cloud technologies, and collaborating with multidisciplinary teams to solve complex business challenges. Key Responsibilities Design, build, and deploy production-ready machine learning solutions. Develop AI-powered applications, AI agents, and LLM-based solutions. Build and optimise data pipelines for model training and inference. Implement MLOps best practices, including CI/CD, deployment, monitoring, and automation. Develop scalable ML platforms and cloud-based AI infrastructure. Deploy AI solutions to an AI marketplace and production environments. Collaborate with data scientists, BI specialists, DevOps engineers, and software development teams. Engage confidently with both technical and business stakeholders throughout project delivery. Requirements Bachelor's degree in Computer Science, Engineering, Applied Mathematics, Statistics, or a related field. Minimum 2 years' experience in machine learning, data science, or data engineering. Strong Python development experience with solid SQL skills. Proven experience working with AWS cloud services (essential). Experience across the machine learning lifecycle, including training, deployment, monitoring, and MLOps. Experience building scalable AI applications and APIs. Strong understanding of software engineering principles and clean coding practices. Advantageous AWS certifications. Experience with AWS Bedrock and Bedrock AgentCore. Open-source contributions, startup, or product development experience. Postgraduate qualification in AI, Machine Learning, or a related field. Personal Attributes Passionate about AI and emerging technologies. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Self-motivated with the ability to work independently. Eager to continuously learn and grow. Only shortlisted candidates will be contacted. Submit your CV to [Email Address Removed] or call [Phone Number Removed]; . Visit our website for more exciting career opportunities: [URL Removed] Correspondence will only be conducted with short listed candidates. Should you not hear from us within 4 days, please consider your application unsuccessful. Desired Skills: SQL Excellent communication Computer Science
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.