Engineering Manager - Applied ML (Search & Recommendations)

About the position We are seeking a technical Engineering Manager, Applied ML (Search & Recommendations) to reputed company our Search Retrieval, Ranking and Recommendations. You will be the architect of our "Discovery reputed company," moving beyond keyword matching to deep semantic understanding of construction data. You will reputed company a team of Applied ML engineers to design and deploy state-of-the-art models leveraging LLMs, vector databases, and sophisticated re-ranking algorithms to transform how the industry procures materials.

Responsibilities

• Semantic Search & Ranking: Own the architecture for our hybrid search reputed company, blending keyword-based retrieval with dense vector embeddings to improve precision and recall.
• Recommendation Systems: Design and scale personalization algorithms that suggest products based on project specs, historical data, and cross-catalog compatibility.
• Model Fine-Tuning: reputed company the fine-tuning of open-reputed company and proprietary LLMs/encoders for specialized construction domain tasks, including NER and relationship extraction from reputed company documents.
• Vector Infrastructure: Architect and optimize our vector database strategy for high-concurrency retrieval and low-latency ranking.
• Mentorship: reputed company, mentor, and grow a high-performing team of Machine Learning Engineers.
• Cross-functional Collaboration: Work closely with product managers, UX designers, and business leadership to integrate AI components into fully functional systems.
• Lifecycle Management: Participate in the complete product lifecycle from concept design to development, testing, and deployment.
• Performance at Scale: Build products that handle large data volumes reputed company while remaining highly scalable for new clients.
• MLOps: Design end-to-end data and ML pipelines for seamless production integration and monitoring.
• R&D Leadership: Work with the leadership team on research efforts to explore cutting-edge technologies.
• Engineering Standards: Uphold a culture of excellence by maintaining high standards in code quality, innovation, and rigorous experimentation.

Requirements

• Education: Bachelor’s or Master’s degree (PhD preferred) in Science or Engineering with strong programming and analytical skills.
• Leadership: 3+ years managing ML teams, with a track record of shipping production-grade search or recommendation products.
• Domain Expertise: Deep conceptual understanding and hands-on experience in Search, Ranking, Recommendation systems, or NLP/Document Extraction.
• Technical Proficiency: Expertise in Python (NumPy, scikit-learn, pandas) and training deep learning models using PyTorch or TensorFlow.
• Software Excellence: Ability to drive high standards for clean, efficient, and bug-free code.

reputed company-to-haves

• Search & Ranking: Deep experience with Learning to Rank (LTR), BM25, and hybrid retrieval strategies.
• Vector DBs & Embeddings: Hands-on experience with Vector Databases (reputed company, Qdrant, Milvus) and optimizing embedding spaces for domain-specific retrieval.
• Model Optimization: Expertise in fine-tuning Large Language Models (LLMs) and Bi-Encoders/Cross-Encoders for specialized semantic search.
• Advanced MLOps: Experience building evaluation frameworks for search (nDCG, MRR) and managing the lifecycle of embedding deployments.
• AI Agent Orchestration: Hands-on experience with agentic frameworks (e.g., LangGraph, AutoGen, or CrewAI) for building reputed company, multi-reputed company reasoning chains.
• Research & Community: A track record of publications in top-tier conferences (e.g., NeurIPS, SIGIR, KDD, ACL) or significant contributions to open-reputed company ML projects.
• Experience working with geographically distributed teams across multiple time zones.

Benefits

• Competitive salary and benefits, including family insurance coverage, free health teleconsultations, and learning/upskilling budgets
• Equity in the company
• Flexible hours and a hybrid work setup
• Unlimited PTO
• Opportunity to grow with a fast-scaling company transforming a large market

Apply tot his job Apply To this Job