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Join Our Team & Let's Create Magic Together! Be a part of us and observe how your skills are polished while working under the guidance of the experts. Everything that makes Webmob the best! We know that work is worship, but there are even other aspects that we take care of. Global Clients We strive to serve our clients with the best services and assistance around the globe. Flexible Working Hours We motivate employees to grow personally and professionally by maintaining flexible working hours. Fun Activities We organize trips and activities to cheer up our employees. As the saying goes, ' All work and no play make Jack a dull boy.' Learning Atmosphere We know that there's no end to learning, and that's why we inspire our employees to keep adding something new to their knowledge bank. AI/ML Engineer OR Data Scientist (Lead) Position: AI/ML Engineer OR Data Scientist (Lead) Required Experience: 4+ years Location: Mohali (WFO) Days: 5 days Webmob Software Solutions is a fintech company based in North India. We are leading service providers in the space of emerging technologies including Blockchain, AI, ML, IOT, and cloud computing. With a global, renowned clientele, we have developed several robust applications in the space of Trade Finance, Money Market, Asset Tokenization, and Supply Chain. Webmob is currently having expertise in Java, Kotlin, PHP, Python,Go, MEAN and MERN stack. Our specialties include Fintech product development, Blockchain development and consultancy, website development, graphic designing, digital marketing, application development, AWS support, infrastructure handling, IOT, AI, and ML. Job Summary We are seeking an accomplished and forward-thinking Lead AI/ML Engineer or Lead Data Scientist to spearhead the design, development, and deployment of advanced AI-driven solutions. This leadership role requires deep technical expertise in machine learning, strong programming capabilities, hands-on experience with modern AI frameworks, and the ability to guide and mentor technical teams. The ideal candidate will drive innovation while ensuring scalable, reliable, and high-performance AI systems aligned with business objectives. Key Responsibilities Lead the design, development, and deployment of advanced AI/ML models to solve complex business challenges. Collaborate with cross-functional teams to translate business requirements into scalable data-driven solutions. Architect and implement production-grade machine learning systems using frameworks such as TensorFlow, PyTorch, or Scikit-learn. Perform advanced data preprocessing, cleaning, transformation, and feature engineering using Pandas and NumPy. Optimize models for accuracy, scalability, performance, and interpretability. Integrate AI/ML models into enterprise applications and production environments. Establish and manage MLOps pipelines for model deployment, monitoring, and lifecycle management. Lead integration and optimization of Large Language Models (LLMs) and generative AI systems. Ensure model monitoring, validation, and continuous improvement for reliability and performance. Mentor and guide junior engineers and data scientists, promoting best practices in coding, experimentation, and deployment. Maintain thorough documentation and technical standards across AI initiatives. Stay current with emerging AI, ML, and data engineering technologies. Required Qualifications Proven experience in a Lead or Senior AI/ML Engineer, Lead Data Scientist, or similar leadership role. Strong proficiency in Python (mandatory) and/or R. Extensive hands-on experience with Pandas and NumPy for data manipulation, analysis, and numerical computing. Strong expertise in machine learning and deep learning frameworks such as TensorFlow, PyTorch, Keras, or Scikit-learn. Practical experience with Large Language Models (LLMs), LLM integration, and MLOps practices. Experience building scalable AI solutions and deploying them on cloud platforms (AWS, Azure, or Google Cloud). Solid understanding of data pipelines, model lifecycle management, and system architecture. Excellent analytical thinking, problem-solving, and leadership skills. Strong communication and stakeholder management capabilities. Benefits: Employee friendly policies. Competitive salary with the best in the industry. Immense exposure to new technologies. 5 days week work .
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.