Manager, AI/ML Engineering

Position Summary: The role is focused on the development, refinement, and deployment of AI models and algorithms that power enterprise AI initiatives. With an emphasis on aligning technical solutions with business strategy, this position plays a pivotal role in delivering scalable AI products across domains. The AI Engineer collaborates with cross-functional teams to design machine learning models, optimize performance, and guide delivery from prototype to production. The role contributes directly to evolving AI architectures and drives innovation in enterprise AI solutions. Who were looking for: PrimaryResponsibilities: Design, develop, and refine advanced AI models and algorithms, especially generative AI approaches. Includes writing code on AI product component modules, or prototypes, typically in python, but also leveraging database technologiesincluding vector, relational, NOSQL, messaging queues, front end interfaces, etc. Will make heavy use of various GenAI platform APIs. Lead the execution of AI model lifecycle activities from development to deployment, including training, validation, and tuning Ensure alignment with enterprise AI architecture and evolving AI strategy Collaborate with data scientists,LLMOps / MLOps engineers, product managers, and business stakeholders to translate use cases into deployable AI solutions Contribute to the development of scalable AI pipelines and model deployment workflows across cloud or hybrid infrastructure Monitor model performance in production and implement updates or retraining processes to ensure continued relevance and accuracy Apply best practices for reproducibility, version control, documentation, and ethical AI considerations Mentor junior AI engineers and foster continuous learning and knowledge sharing within AI teams Stay current with advances in AI/ML research and tools, translating new capabilities into practical enterprise use Coach and mentor junior AI engineers and support cross-functional teams in AI product delivery Support enterprise AI governance and model risk management processes Skill: Drives development and enhancement of AI models aligned to enterprise strategy Bachelors degree in computer science, Data Science, or a related field; Masters or PhD preferred 5 years of experience in AI/ML engineering or a related role, including hands-on model development Strong expertise in some variety of programming languages, with an emphasis on Python. Advanced proficiency with some AI/ML frameworks (e.g., LangChain, TensorFlow, PyTorch) Deep understanding of machine learning algorithms, statistical modeling, data structures, and model optimization techniques Experience working with cloud AI platforms and services (e.g., AWS SageMaker, Google AI Platform, Azure ML) Familiarity with deployment practices including model versioning, reproducibility, and monitoring Ability to clearly communicate technical concepts to both technical and non-technical stakeholders Strong collaboration skills with cross-functional teams in fast-paced environments Demonstrated ability to contribute to innovation and continuous improvement in AI practices Work location: Hyderabad, India Work hours: Work pattern: Full time role. Work mode: Hybrid.

Location: hyderabad, IN

Posted Date: 6/12/2025