Engineering Manager (AI-Java)

Position : Engineering Manager (AI-Java)Location : NoidaType of Employment : FulltimePurposeWe are seeking a forward-thinking Engineering Manager – AI to lead the design, development, and deployment of advanced AI / ML solutions. This role requires deep technical expertise in machine learning, hands-on leadership in project delivery, and the ability to guide cross-functional teams toward business-centric AI outcomes.Key Result Areas and ActivitiesAI / ML Solution Design and Deployment : Lead the design, development, and deployment of scalable AI / ML models using cloud-native platforms. Apply supervised, unsupervised, deep learning, and Generative AI (e.g., LLMs, agentic workflows) techniques to solve industry-specific challenges. Ensure alignment of technical approaches with business requirements, industry best practices, and enterprise goalsProject Leadership and Execution : Manage end-to-end AI / ML project lifecycle from requirement gathering to production deployment. Oversee the delivery of high-impact data science projects across various industries. Collaborate with business stakeholders to translate use cases into technical roadmaps. Drive execution through Agile methodologies and cross-functional coordinationCollaboration with Data Engineering and MLOps : Work closely with data engineering teams to build optimized data pipelines using Delta Lake and Spark . Lead the implementation of MLOps practices for CI / CD, model versioning, automated testing, and monitoring. Enable production-grade AI systems that are scalable, reliable, and maintainableInsights Communication and Stakeholder Engagement : Translate technical insights into impactful visualizations and narratives for business leaders. Present findings and model outcomes through dashboards, reports, and executive presentations. Champion the adoption of AI by clearly communicating value, risks, and ROIInnovation and Thought Leadership : Drive continuous innovation within Infocepts’ AI / ML capabilities through R&D and PoCs. Share knowledge through internal forums, white papers, and tech talks. Contribute to the enhancement of AI offerings, tools, and acceleratorsWork and Technical ExperienceEssential SkillsStrong proficiency in Java , SQL , and machine learning libraries (scikit-learn, TensorFlow, PyTorch, etc.)Practical experience with Databricks , MLflow , PySpark , and Spark MLlibSolid understanding of supervised , unsupervised , and deep learning techniquesFamiliarity with Generative AI , including LLMs and agentic AI workflowsStrong background in cloud platforms : AWS, Azure, or GCPKnowledge of advanced statistical methods and probabilistic analysisExperience with AI / ML pipeline orchestration , version control, and monitoringDesirable SkillsExperience in real-time data processing and cloud-native AI deploymentContributions to open-source AI projects , tech communities, or academic publicationsExperience in developing or integrating LLMs and prompt engineering workflowsQualificationsBachelor’s or Master’s degree in Computer Science , Data Science , Engineering , or a related field13+ years of hands-on experience in applied AI / ML, including deep learningDemonstrated experience in leading end-to-end AI / ML projects , including team coordination and stakeholder communicationStrong analytical thinking, business acumen, and problem-solving capabilitiesEffective leadership and mentoring skills with a growth mindsetExcellent communication skills—both technical and non-technical