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As a senior engineering leader, your role will involve building and scaling AI/ML capabilities across digital and e-commerce platforms. You should be technically strong, hands-on, and experienced in leading teams to execute strategies effectively.Key Responsibilities:- Own the AI/ML roadmap for engineering, from solution design to production rollout.- Lead the development of AI/ML and GenAI solutions integrated with core platforms.- Design and review microservice architectures for high-traffic systems.- Ensure ML models are production-ready and reliable (deployment, monitoring, scaling, cost control).- Build and mentor senior engineers and ML teams, while staying involved in key technical decisions.- Collaborate closely with product and business teams to translate problems into practical, scalable solutions.Qualifications:- B.Tech or MCA in Computer Science or a related discipline.- 16 years of overall software engineering experience.- At least 6 years in senior leadership roles managing engineers and architects.- Proven track record of delivering AI/ML systems at scale.- Experience in e-commerce, food-tech, or large consumer platforms is a plus.Required Skills:- Hands-on experience with Machine learning and deep learning (neural networks, gradient boosting).- Proficiency in ranking and personalization, time-series modeling (forecasting, anomaly detection).- Knowledge of computer vision (image quality, menu/catalog intelligence, shelf-life).- Familiarity with embeddings and vector search, Real-time inference, and TensorFlow/PyTorch.- Experience with GenAI models (LLMs and vision-language models) for AI assistants.- Expertise in recommendation and understanding systems, document/invoice processing, MLOps / LLMOps, and scalable AI platform engineering.Preferred Skills:- Strong hands-on background in Java application development and microservices.- Experience in building distributed, event-driven systems.- Good working knowledge of cloud platforms (AWS preferred).- Understanding of system reliability, performance, and observability. As a senior engineering leader, your role will involve building and scaling AI/ML capabilities across digital and e-commerce platforms. You should be technically solid, hands-on, and experienced in leading teams to execute strategies effectively.Key Responsibilities:- Own the AI/ML roadmap for engineering, from solution design to production rollout.- Lead the development of AI/ML and GenAI solutions integrated with core platforms.- Design and review microservice architectures for high-traffic systems.- Ensure ML models are production-ready and reliable (deployment, monitoring, scaling, cost control).- Build and mentor senior engineers and ML teams, while staying involved in key technical decisions.- Collaborate closely with product and business teams to translate problems into practical, scalable solutions.Qualifications:- B.Tech or MCA in Computer Science or a related discipline.- 16 years of overall software engineering experience.- At least 6 years in senior leadership roles managing engineers and architects.- Proven track record of delivering AI/ML systems at scale.- Experience in e-commerce, food-tech, or large consumer platforms is a plus.Required Skills:- Hands-on experience with Machine learning and deep learning (neural networks, gradient boosting).- Proficiency in ranking and personalization, time-series modeling (forecasting, anomaly detection).- Knowledge of computer vision (image quality, menu/catalog intelligence, shelf-life).- Familiarity with embeddings and vector search, Real-time inference, and TensorFlow/PyTorch.- Experience with GenAI models (LLMs and vision-language models) for AI assistants.- Expertise in recommendation and understanding systems, document/invoice processing, MLOps / LLMOps, and scalable AI platform engineering.Preferred Skills:- Strong hands-on background in Java application development and microservices.- Experience in building distributed, event-driven systems.- Good working knowledge of cloud platforms (AWS preferred).- Understanding of system reliability, performance, and observability. .
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.