About the Role: We are looking for an experienced Engineering Manager AI/ML to lead a team of talented engineers and data scientists in developing scalable, production-grade AI and machine learning solutions. The ideal candidate combines strong technical expertise with people leadership, fostering collaboration, innovation, and operational excellence. In this role, you will drive end-to-end AI/ML product delivery from architecture and experimentation to deployment and monitoring while building a high-performing engineering culture that aligns with organizational goals. Key Responsibilities: - Lead and mentor a team of AI/ML engineers, data scientists, and MLOps specialists. - Oversee the design, development, and deployment of machine learning and AI-powered systems at scale. - Collaborate with cross-functional teams (Product, Data, Cloud, and Engineering) to translate business problems into technical solutions. - Establish and enforce best practices for software development, MLOps, and model governance. - Drive technical excellence through architecture reviews, code quality, and robust testing standards. - Manage project delivery timelines, priorities, and stakeholder expectations. - Foster a culture of innovation, continuous learning, and collaboration within the AI/ML engineering team. - Stay current with emerging AI technologies, frameworks, and tools to enhance capabilities and performance. Required Qualifications: - Bachelors or Masters degree in Computer Science, Engineering, Data Science, or related field. - 812 years of total experience, with at least 3+ years in a technical leadership or people management role. - Proven experience designing, developing, and deploying AI/ML or data-driven applications in production. - Strong programming background in Python, with hands-on experience in frameworks like TensorFlow, PyTorch, or Scikit-learn. - Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps tools (MLflow, Kubeflow, SageMaker, etc.). - Deep understanding of model lifecycle management, CI/CD pipelines, and data versioning. - Excellent problem-solving and analytical skills, with the ability to make data-driven decisions. Preferred Qualifications: - Experience working with Generative AI, LLMs, or NLP solutions. - Exposure to data engineering and cloud-native AI platforms (Databricks, Azure ML, Vertex AI). - Knowledge of AI governance, compliance, and ethical AI practices. - Strong understanding of Agile methodologies and project management principles. Soft Skills: - Proven ability to lead, motivate, and develop engineering teams. - Strong communication and stakeholder management skills. - Ability to balance technical depth with strategic leadership. - Proactive, adaptable, and comfortable working in a fast-paced environment.

Hyderabad

Engineering Manager - Artificial Intelligence/Machine Learning 

Job Description for Engineering Manager - Artificial Intelligence/Machine Learning  in Starvoke Consultancy Services in  Hyderabad for (8-12) years of experience. Apply Now!