eCommerce Search Staff Engineer Consultant

Position: eCommerce Search Staff Engineer Consultant Remote
Direct Client Requirement

Role Description: Our Digital and eCommerce division is looking to transform the Digital and eCommerce technology engine for the client As a Staff Software Engineer Search, you will play pivotal role in driving the next generation of intelligent, high-performing search experiences for our global eCommerce platforms and build new features and components in our evolving platform, helping to embrace modern principles like microservices and event driven architectures.
You will be responsible for optimizing search relevance, tuning search engine behavior, and applying advanced AI/ML techniques to elevate how users Client and interact with products. You'll work closely with Product Owner, Data Scientists, and Software Engineers to deliver seamless and personalized search experiences that directly impact business outcomes.

The Digital and eCommerce team currently operates several B2B websites and direct digital sales channels via a globally deployed cloud-based platform that are a growth engine for client's life science business. We provide a comprehensive catalog of all products, enabling our customers to find products and purchase products as well as get detailed scientific information on those products.

ESSENTIAL JOB FUNCTIONS
Search Relevance Optimization: Analyze and enhance search relevance algorithms to ensure accurate and relevant search results for users.
Search Query Optimization: Implement and manage search query optimization strategies to optimize search results based on user behavior and business objectives.
Search Engine Management: Oversee the configuration and performance of search engines, ensuring they meet the evolving needs of the eCommerce platform.
AI/ML Integration: Leverage AI and machine learning technologies to develop and implement advanced search functionalities, including personalized search results and predictive search capabilities.
Collaboration: Work closely with product owner, data scientists, and software engineers to define and implement search-related features and improvements.
Performance Monitoring: Monitor search performance metrics and user feedback to identify areas for enhancement and implement data-driven solutions.
Problem-Solving: Excellent analytical and problem-solving skills, with the ability to think critically and creatively.
Communication: Strong verbal and written communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
Documentation: Maintain clear documentation of search algorithms, tuning strategies, and system configurations for internal teams.

QUALIFICATIONS

Education:
Bachelor's degree in Computer Science, Engineering, Data Science, or a related quantitative field.
Mandatory Skills:
8+ years of hands-on in search relevance, Search Query Optimization and software engineering experience for eCommerce websites
Proven experience with at least one major search engine preferably Elasticsearch( or any Lucene based search engine such as Solr or OpenSearch)
Experience in Lexical search using algorithms like BM25, Semantic Search
Deep understanding of search relevance tuning, search query optimization, ranking, tokenization, stemming, and query parsing
Experience building or integrating RAG-based architectures for LLM-assisted search use cases.
Experience with MLOps practices and tools.
Proven experince in Python and experience with ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
Recent experience in Java, Kotlin, Spring, Spring Boot is a plus
Mentor and guide engineers across the team, promoting a culture of engineering excellence and experimentation.
Ability to provide solutions based on business requirements.
Ability to collaborate with cross-functional teams.
Ability to work with global teams and a flexible work schedule.
Must have excellent problem-solving skills and be customer centric.
Excellent communication skills.

Preferred Skills:
Experience with Microservices, CI/CD, Event Oriented Architectures and Distributed Systems
Experience with cloud environments (e.g., Google Cloud Platform, Azure, Amazon Web Services)
Experience leading product-oriented engineering development teams is a plus
Familiarity with DevOps practices/principles, Agile/Scrum methodologies, CI/CD pipelines and the product development lifecycle
Strong background in SQL and NoSQL databases
Familiarity with modern web APIs and full stack frameworks is a plus.
Experience with Java, Google Analytics, BigQuery, Cassandra, Docker, Kubernetes, Kafka, in memory caching are a plus
Familiarity with data manipulation and analysis libraries (e.g., Pandas, NumPy, Spark) is a plus.