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HyrEzy Talent Solutions Reviews by Employees

Role: Engineering Manager - AI & Data | Bangalore About Us: We are a fast-growing startup building an AI-first omnichannel franchisee platform, empowering global consumer brands to expand seamlessly into new markets. Our solution leverages cutting-edge data architecture, agentic AI-driven automation, and intelligent insights to transform decision-making across marketing, supply chain, inventory, pricing, cataloguing, and category management. Role Overview: We seek an Engineering Manager to architect and scale our data and AI infrastructure, build decision augmentation engines, lead automation initiatives, and create robust monitoring systems. This is a unique opportunity to shape the technology backbone of a disruptive business model in global retail and ecommerce. Key Responsibilities: 1. Data Architecture & Engineering - Design and own end-to-end data architecture across multiple business functions. - Build scalable, real-time data pipelines across brands, channels, and geographies. - Maintain strong data governance, lineage, and quality. 2. AI & Automation - Architect AI-first engines combining predictive and generative AI for business workflows. - Deploy agentic AI systems to automate key processes in marketing, supply chain, pricing, catalogue ops, and category management. - Lead MLOps practices for model deployment, monitoring, and continuous improvement. 3. Systems Reliability & Monitoring - Develop infrastructure anomaly detection and self-healing systems. - Create AI-driven business KPI monitoring and alerting for stockouts, sales drops, and demand surges. 4. Leadership & Collaboration - Hire, mentor, and scale a high-performing engineering team. - Instil a culture of innovation, experimentation, and speed. - Align technology strategy closely with product, marketing, and supply chain business leaders. Key Competencies & Skills:- 1. Technical:- - Proven expertise in data engineering and architecture (SQL/NoSQL, cloud data warehouses, data lakes, streaming infrastructure such as Kafka/Kinesis). - Extensive experience in building and deploying AI/ML systems: demand forecasting, dynamic pricing, anomaly detection, generative AI. - Knowledge of agentic AI frameworks (LangChain, LlamaIndex, AutoGen, orchestration tools). - Hands-on coding ability (Python, Go, or Java); openness to AI code tools (Cursor, Copilot, etc). - Experience with MLOps tools (Kubeflow, MLflow, SageMaker, Vertex AI). - Full stack engineering background preferred. 2. Leadership: - 8-10 years of engineering experience, with 3-4 years as a Manager/ Lead or EM handling small/medium-sized teams. - Experience scaling teams in high-growth startups or enterprise AI/data platforms. - Strong communication, collaboration, and stakeholder management. - Experience in retail and/or ecommerce preferred. - Ability to translate business challenges into scalable technical solutions. What We Offer:- - Opportunity to build the AI-first backbone for global brand expansion. - High autonomy, ownership, and direct business impact. - Competitive compensation (up to - 1 Crore fixed + equity options for ideal candidates). - Fast-paced, entrepreneurial working culture with global ambitions.

Bangalore

Engineering Manager - AI & Data 

Job Description for Engineering Manager - AI & Data  in HyrEzy Talent Solutions in  Bangalore for (8-10) years of experience. Apply Now!