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We are seeking a Senior ML Engineer / Machine Learning Solutions Lead to drive innovative ML strategies, design and deploy production-grade models, and deliver business-wide impact through cutting-edge solutions. The role requires expertise in end-to-end ML system design, Generative AI, and distributed cloud-based platforms. Key Responsibilities Act as a thought leader , shaping the ML vision across products and platforms and driving strategic innovation. Lead the full software development lifecycle (SDLC) including design, testing, deployment, and operations. Develop high-performance, production-ready ML code for real-time ML platforms and extend existing ML frameworks and libraries. Collaborate with engineers and data scientists to accelerate model development, validation, and experimentation , integrating algorithms into scalable production systems. Participate actively in design reviews, code reviews, and technical strategy discussions to ensure high-quality ML solutions. Requirements Degree in Computer Science, Mathematics, or a related field. 5+ years of experience across SDLC including design, coding, testing, deployment, and operations. 5+ years of hands-on experience building and deploying end-to-end ML solutions in production . Practical experience in Generative AI (RAG, AI Agents, LLM fine-tuning) in production environments. Experience with cloud platforms (AWS, Azure, GCP) and distributed systems. Strong problem-solving skills with the ability to tackle complex, ambiguous challenges. Preferred Qualifications MS or PhD in Computer Science, Machine Learning, or related disciplines. Experience with Graph ML and technologies like GNNs or Graph RAG. Knowledge of distributed Big Data technologies such as Spark, Flink, Kafka, PySpark, Lakehouse, Druid, Hudi, or Glue.
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.