Save Job Back to Search Job Description Summary Similar JobsLead enterprise AI products at scale with strong ownershipBuild cutting-edge AI solutions with high impactAbout Our ClientOur 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 DescriptionLead and manage a team of AI/ML engineers, ensuring high-quality deliveryDesign and architect scalable AI/ML solutions across various domains like NLP, CV, and GenAIOversee end-to-end lifecycle of AI products, from model development to deploymentCollaborate with cross-functional stakeholders including product, engineering, and business teamsDrive adoption of best practices in MLOps, LLMOps, and CI/CD pipelinesWork with tools like Python, SQL, TensorFlow, PyTorch, and modern backend frameworksEnsure high performance, reliability, and scalability of deployed AI systemsContribute to technical strategy and roadmap for AI initiativesMentor and guide team members, fostering technical growth and leadershipOperate in an agile environment, managing priorities and deliveries effectivelyThe Successful Applicant8+ years of experience in AI/ML engineering with strong technical expertise3+ years of experience leading or managing AI/ML teamsStrong proficiency in Python and machine learning frameworks (TensorFlow, PyTorch)Experience shipping production-grade AI applications at enterprise scaleKnowledge of backend frameworks such as FastAPI, Flask, or DjangoFamiliarity with frontend integrations (React, mobile/web applications)Deep understanding of algorithms, data structures, and system designExperience with DevOps practices including CI/CD, Docker, Kubernetes, and GitStrong communication skills and ability to work with cross-functional teamsExperience working in agile methodologies with tools like JIRAExposure to cloud platforms (AWS, Azure, GCP) is advantageousFamiliarity with Big Data technologies like PySpark or Hadoop is a plusWhat's on OfferOpportunity to lead high-impact AI initiatives in a fast-growing environmentExposure to cutting-edge technologies including GenAI and large-scale ML systemsStrong ownership and decision-making authority in technical directionCollaborative and innovation-driven work cultureOpportunity to work on complex enterprise problems with real-world impactCareer progression into senior leadership rolesAccess to modern tools, infrastructure, and engineering best practicesChallenging and dynamic work environment with continuous learning opportunitiesCompetitive compensation aligned with industry standardsExposure to global teams and cross-functional collaborationWork in a fast-paced environment fostering creativity and critical thinkingQuote job refJN-052026-7013642Job summaryFunctionAnalyticsSub SectorMachine LearningWhat is your area of specialisation?Technology & TelecomsLocationInternationalJob TypePermanentJob ReferenceJN-052026-7013642
