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Location: Pune, Maharashtra Employment Type: Full-time About pi-labs pi-labs is a deep-tech AI company building solutions in digital forensics, deepfake detection, cybersecurity, and investigative intelligence. We combine advanced AI research with production-grade engineering to solve challenging real-world problems. About the Role We are looking for an Engineering Manager AI & ML to lead our AI engineering efforts, drive technical execution, and build a strong engineering team. This is a hands-on technical leadership role involving both architecture and team management. Key Responsibilities Technical LeadershipLead and mentor a team of AI/ML engineers.Design scalable architectures for AI/ML products and services.Drive engineering best practices, code quality, testing, and system reliability.Work closely with researchers to take models from prototype to production.Participate in technical design and code reviews.AI/ML EngineeringLead development and deployment of deep learning systems across computer vision, audio/speech, NLP, multimodal AI, and generative AI.Build and optimize production inference pipelines and AI APIs.Work with GPU infrastructure and optimize models for latency, throughput, and memory.Establish robust evaluation, benchmarking, model deployment, and monitoring practices.Stay current with emerging AI/ML technologies and identify opportunities for product innovation.Product & ExecutionTranslate product requirements into technical roadmaps and milestones.Drive projects from concept through production deployment.Work closely with Product, Research, and Engineering teams to ensure timely delivery.Identify technical risks and make appropriate architecture and technology trade-offs.Ensure AI systems meet requirements for accuracy, performance, scalability, and reliability. Requirements Master's degree in Computer Science, AI/ML, or a related field.8+ years of experience in software/AI/ML engineering.2+ years of experience leading engineering or AI/ML teams.Strong hands-on experience with Python and PyTorch/TensorFlow.Strong understanding of deep learning and production ML systems.Experience taking ML models from research/prototype to production.Strong software engineering and system design skills.Experience with GPU-based AI workloads and model optimization.Excellent problem-solving, communication, and leadership skills. Good to Have Experience with computer vision, deepfake detection, generative AI, speech/audio AI, multimodal AI, digital forensics, CUDA, Docker/Kubernetes, ONNX/TensorRT, Triton, or MLOps. .
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.