Job Description
Lead enterprise AI products at scale with strong ownership Build cutting-edge AI solutions with high impact About Our Client Our client is a rapidly growing organisation focused on building advanced digital and AI-driven solutions for large-scale enterprise use cases. They operate at the intersection of technology and innovation, leveraging cutting-edge tools and frameworks across artificial intelligence and data science. With a strong emphasis on performance, scalability, and modern engineering practices, the company fosters a culture of innovation and continuous learning. Teams work in agile environments and collaborate across geographies to build impactful products used in real-world applications. They are committed to deploying production-grade AI systems and investing in emerging technologies like Generative AI, predictive modelling, and automation. Employees benefit from working on complex problem statements while contributing to business-critical solutions. Job Description Lead and manage a team of AI/ML engineers, ensuring high-quality delivery Design and architect scalable AI/ML solutions across various domains like NLP, CV, and GenAI Oversee end-to-end lifecycle of AI products, from model development to deployment Collaborate with cross-functional stakeholders including product, engineering, and business teams Drive adoption of best practices in MLOps, LLMOps, and CI/CD pipelines Work with tools like Python, SQL, TensorFlow, PyTorch, and modern backend frameworks Ensure high performance, reliability, and scalability of deployed AI systems Contribute to technical strategy and roadmap for AI initiatives Mentor and guide team members, fostering technical growth and leadership Operate in an agile environment, managing priorities and deliveries effectively The Successful Applicant 8+ years of experience in AI/ML engineering with strong technical expertise 3+ years of experience leading or managing AI/ML teams Strong proficiency in Python and machine learning frameworks (TensorFlow, PyTorch) Experience shipping production-grade AI applications at enterprise scale Knowledge of backend frameworks such as FastAPI, Flask, or Django Familiarity with frontend integrations (React, mobile/web applications) Deep understanding of algorithms, data structures, and system design Experience with DevOps practices including CI/CD, Docker, Kubernetes, and Git Strong communication skills and ability to work with cross-functional teams Experience working in agile methodologies with tools like JIRA Exposure to cloud platforms (AWS, Azure, GCP) is advantageous Familiarity with Big Data technologies like PySpark or Hadoop is a plus What's on Offer Opportunity to lead high-impact AI initiatives in a fast-growing environment Exposure to cutting-edge technologies including GenAI and large-scale ML systems Strong ownership and decision-making authority in technical direction Collaborative and innovation-driven work culture Opportunity to work on complex enterprise problems with real-world impact Career progression into senior leadership roles Access to modern tools, infrastructure, and engineering best practices Challenging and dynamic work environment with continuous learning opportunities Competitive compensation aligned with industry standards Exposure to global teams and cross-functional collaboration Work in a fast-paced environment fostering creativity and critical thinking
