Lucene Jobs in Bangalore (Bengaluru)

Job Description : ✔ Defining the over all architecture and choose the best stack, components, and    subsystems for search & storage infrastructure ✔ Design & build user-friendly APIs for accessing the backend infrastructure✔ Active mentoring on engineering best practices, reducing technical debt and    designing scale ready solutions.✔ Proactively identify architectural gaps and enhancements and recommending    appropriate solutions.✔ Work closely with the product and customer teams to effectively drive innovative   solutions and drive adoption of features.Requirements✔ Experience level 4+ years.✔ A bachelor's or master’s degree in Computer Science/Software Engineering✔ Production experience with a scalable search engine or building storageinfrastructure for scaled out consumer companies.

About Edge EdGE Networks Pvt. Ltd. provides NextGen Technology Solutions for Workforce Transformation. Our strength is in harnessing artificial intelligence and data science to solve the toughest talent acquisition and workforce optimization challenges faced by organizations. At EdGE, we are driven by our vision to build a collaborative ecosystem that provides employers, employees and job seekers real value – better allocation, increased productivity, reduced attrition thereby impacting the bottom line. Being a product innovation partner with National Skill Development Corporation (NSDC) of India, we continuously strive to support the development of skills for various industries and channel the right people into the right job. For more details, please check our website www.edgenetworks.in Job Responsibilities   Lead complex technical designs, prototypes/proof of concepts, help platform development. Design and Build the best of class resilient applications using universally accepted architecture practices and design patterns. Drive efficiency and reliability improvements through design and automation: performance, scaling, observability, and monitoring. Create architecture and processes for machine learning related capabilities. Develop data pipelines that unify various data sources into one cohesive platform for data access. Design and implement efficient, fault-tolerant Machine Learning workflows for processing high-velocity, heterogeneous data in a production environment, including optimization of ML workflows for CPU & GPU processing. Manage Machine Learning microservices including containerization, unit testing, performance optimization, and deployment. Work with multiple partner teams within of EdGE and build cross-functional solutions in a collaborative work environment. Individually contribute by writing code and designing systems Mentor and support your fellow teammates, review the team's technical design, code, and documentation     Job Requirements   Experience leading technical direction, architecting and developing AI/ML Platform or Products, distributed systems and tuning application performance. Experience in Architecting Machine Learning Related Platform/Product like Search, Conversational Systems, Market Places etc. Experience in Python, C++, Web services and REST. Experience in Modern Search technologies (including Solr, Elasticsearch, Lucene, etc.) Working Knowledge of deep learning frameworks like Tensorflow, Pytorch etc. Familiar with Machine Learning and Deep learning algorithms. Strong understanding of metadata, schemas, lineage, data quality. Experienced with some amount of 'Big Data' technologies such as Kafka, Spark, Hive Graph Datastores. Strong background in architecting cloud native solutions. Familiar in MLops, Feature Stores etc. Familiar with Kubernetes. Familiar with Compliance Standards – GDPR, ISO etc. Strong quantitative, analytical and problem-solving skills, combined with a high level of initiative and ability to thrive in a multi-tasking, fast-paced environment

Business Unit: Walmart International Position: Senior Engineer - Development

Adroitent is looking for a Search Specialist with strong experience on Apache Solr or Lucene. Must have alteast 5 years of relevant experience.