About Searce
Searce is a modern tech consulting firm that empowers clients to futurify their businesses, leveraging Cloud, AI, and analytics.
- We are a category-defining niche’ cloud-native technology consulting company, specializing in modernizing (improving, automating & transforming) the full scope of infra, app, process & work.
- We are the most preferred tech partner of choice when it comes to ‘solving for better’ for the new-age tech startups & digital enterprises, leading disruption in their industries.
- Our Service Offerings: Advanced Cloud, Data & App Modernization, Cloud Consulting, Management & Improvement (DevOps, SysOps & Cloud Managed Services), Applied AI & Analytics services.
- As one of the top 5 niches’ full-scope global partners for Google Cloud & a preferred partner for AWS, we are the most preferred ‘engineering-led’ tech company of choice when it comes to solving complex business problems.
Job Location: Singapore
Roles and Responsibilities
- Collaborate with cloud consultants and OEM partners to design and implement modern, scalable AI solutions using a range of new and emerging technologies from the Cloud (Google Cloud and AWS). Continuously work towards identifying new business opportunities and prioritize pursuits for Applied AI.
- Analyze, document and optimize the overall proposed solution architecture; Create SoWs, build on market case studies and use cases; guide clients and teams through their AI transformation journeys on Cloud.
- Showcase your Cloud and AI/ML architecture experience when communicating with clients on their requirements, turning these into technical futuristic AI solutions.
- Proactively liaise and be part of our extensive Cloud community, contributing in the knowledge exchange.
- Demonstrate expertise & and experience in computer vision, NLP, conversational AI and MLOps along with a deep understanding of ML Architecture and Model lifecycle including non-functional requirements and operations management.
- Work closely with internal specialists and delivery teams to package best practices and lessons learned into thought leadership, methodologies, and published assets.
- Must have the right Solution and architecture experience working with Google AI and Data Products BigQuery, Document AI, CCAI, Dialogflow, Vertex AI, Data-prep, etc. or similar products on any other public cloud platforms.
- Establish processes, operations, measurements, and controls for end-to-end life-cycle management of the digital workforce (intelligent systems).
Qualification:
Bachelor’s degree in Engineering or other highly technical equivalent experience, along with:
- Relevant years of experience in delivering complex AI or Data Analytics projects on Cloud Platforms (Google and/or AWS).
- Experience in a statistical programming language (e.g. R or Python) and applied machine learning and AI techniques (i.e. computer vision, deep learning, conversational AI, and natural language processing frameworks).
- Experience in systems design with the ability to architect and explain Machine Learning Operations platforms.
- Ability to translate business problems into futuristic AI solutions.
- Excellent collaboration skills, and experience working in client collaborative environments on Data-driven projects.
- Proven success in contributing to a multi-geographical team Demonstrate excellent communication, written, presentation, and problem-solving skills.
