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Position:Data Engineer / ML Engineer Job Description:Position: Data & ML Engineer Location: Ahmedabad | Pune | Indore Experience: 48 Years Preferred Notice Period: Immediate to 30 Days About the Role We are looking for a passionate Data & ML Engineer to join our engineering team and build scalable, production-grade data and machine learning solutions. In this role, you will design and develop robust data pipelines, deploy machine learning models, build high-performance APIs, and collaborate with cross-functional teams to deliver intelligent, cloud-native applications. If you are passionate about solving complex data challenges and building reliable ML infrastructure at scale, we'd love to hear from you. Key Responsibilities Design and develop scalable feature engineering pipelines for machine learning applications. Build and maintain batch scoring pipelines to support large-scale ML workloads. Develop, deploy, and maintain model inference services for both real-time and batch predictions. Design and build secure, scalable REST APIs for model serving and data integration. Deploy, monitor, and optimize machine learning models in production environments. Integrate ML services with upstream and downstream systems to enable seamless data flow. Ensure the performance, reliability, scalability, and security of APIs and data pipelines. Collaborate closely with Data Scientists, Backend Engineers, and Product teams to deliver end-to-end ML solutions. Troubleshoot production issues and continuously improve system performance and reliability. What We're Looking For Required Skills Strong proficiency in SQL. Hands-on experience with Apache Spark and Azure Databricks. Experience in data modeling, feature engineering, and building scalable data pipelines. Strong programming skills in Python. Experience developing REST APIs using FastAPI, Flask, or similar frameworks. Good understanding of API authentication, security, scalability, and performance optimization. Hands-on experience deploying and managing machine learning models in production. Familiarity with software engineering best practices, including version control, testing, and code quality. Preferred Qualifications Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, or a related field. Experience working in Agile software development environments. Exposure to cloud platforms such as AWS, Azure, or GCP. Strong analytical, debugging, and problem-solving skills. Self-motivated with the ability to work independently and take ownership of deliverables. Why Join Us Work-Life Balance Professional Growth & Learning Opportunities Innovative and Collaborative Work Environment Recognition & Reward Programs Opportunity to work on cutting-edge AI/ML and data engineering solutions Location:IN-GJ-Ahmedabad, India-Ognaj (eInfochips) Time Type:Full time Job Category:Engineering Services .
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.
