AI Engineering Manager

3 weeks ago

Mumbai, India talentgen advisory LLP Full time

Description : Job Title : AI Engineering ManagerLocation : MumbaiAbout the Role : We are looking for an experienced AI Engineering Manager with strong hands-on expertise in Java .The ideal candidate will drive the design, development, and deployment of scalable AI solutions while mentoring engineers, shaping technical strategy, and ensuring high-quality delivery across projects.Key Responsibilities : Technical Leadership : - Lead the end-to-end development of AI/ML systems, platforms, and microservices.- Architect scalable, high-performance solutions using Java, Spring Boot, and distributed systems.- Guide the team on model integration, model serving, APIs, and ML-enabled features.- Work closely with Data Science teams to convert ML models into production-grade applications.- Oversee code quality, technical reviews, architecture decisions, and engineering best practices.AI/ML Engineering : - Manage the full lifecycle of ML models development, deployment, monitoring, and optimization.- Build robust pipelines for data ingestion, model training, and model serving.- Collaborate with Data Engineers to ensure clean, optimized, and reliable data flows for AI systems.- Implement MLOps best practices (CI/CD, feature stores, model versioning, monitoring).Team & People Management : - Lead, mentor, and grow a team of AI/ML engineers and backend developers.- Conduct 1 : 1s, performance reviews, and skill-development planning.- Foster a culture of innovation, ownership, and continuous learning.Cross-Functional Collaboration : - Partner with Product Managers to translate business requirements into AI-powered features.- Work with Cloud, DevOps, and Security teams to ensure high availability, reliability, and compliance.- Coordinate with stakeholders to deliver projects on time and within scope.Required Skills & Experience : - 7-12 years of total experience, with at least 3+ years in managing engineering teams.- Strong professional experience in Java, multithreading, system design, and scalable backend architectures.- Hands-on experience with AI/ML engineering, model deployment, APIs, and ML-powered products.- Good understanding of ML frameworks (TensorFlow, PyTorch), and ML pipelines.- Experience with cloud platforms (AWS/Azure/GCP) and containerized environments (Docker, Kubernetes).- Familiarity with MLOps tools : MLflow, Kubeflow, Airflow, SageMaker, Vertex AI, etc.Preferred Qualifications : - Experience working in product-led tech or AI-driven organizations.- Exposure to generative AI frameworks, LLM ops, vector databases, and prompt engineering.- Knowledge of distributed computing, microservices architecture, and event-driven systems.- Master's degree in Computer Science, Engineering, or related field is an advantage.What We Offer : - Opportunity to build and lead next-generation AI products.- High ownership and autonomy in technical decision-making.- Collaborative, innovation-driven culture. (ref:hirist.tech)

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