About Searce
Searce means ‘a fine sieve’ & indicates ‘to refine, to analyze, to improve’. It signifies our way of working: To improve to the finest degree of excellence, ‘solving for better’ every time.
Company Culture
Searcians are passionate improvers & solvers who love to question the status quo. The primary purpose of all of us, at Searce, is driving intelligent, impactful & futuristic business outcomes using new-age technology. This purpose is driven passionately by happier people who aim to become better, every day.
Job Responsibilities
- Build a diverse cross-functional team to identify and prioritize key areas of the business across ML, AI, NLP, and other cognitive solutions that will drive significant business benefits.
- Lead AI R&D initiatives, including prototypes and minimum viable products.
- Collaborate with multiple teams on projects like visual quality inspection, MLOps, conversational banking, demand forecasting, anomaly detection, etc.
- Develop reusable and scalable solutions for use across the customer base.
- Create AI white papers and foster strategic partnerships with industry leaders.
- Align, mentor, and manage teams around strategic initiatives.
- Prototype and demonstrate AI-related products and solutions for customers.
- Establish processes, operations, measurement, and controls for end-to-end lifecycle management of digital workforce (intelligent systems).
- Support business development teams in expanding and enhancing the pipeline for growth.
- Identify new business opportunities and prioritize pursuits in AI.
- Participate in long-range strategic planning to meet company objectives and increase enterprise value and revenue.
- Foster a great work environment to attract and retain top talent.
- Navigate through ambiguity, make tough decisions, and lead through adversity with a focus on desired outcomes.
Qualifications
- Bachelor’s degree in a quantitative field: CS, EE, Information sciences, Statistics, Mathematics, Economics, Operations Research, or related, with focus on applied/foundational Machine Learning, AI, NLP, data-driven analysis & modeling. Master’s or MBA is preferred.
- 8+ years of experience in AI/ML/NLP/deep learning/data-driven statistical analysis & modeling solutions, including domain-specific experience like financial engineering.
- Hands-on experience beyond using open-source tools: custom coding on frameworks.
- Ability to communicate with C-level executives.
- Prior leadership experience managing a high-performing team.
- Proven record of successful technology solutions: prototypes, POCs, research publications, or products.
- Knowledge of data management, middleware, cloud, and fog computing is a plus.
- Excellent communication skills for explaining algorithms and solutions.
Technical Skills
- Programming Languages: Python, R
- Frameworks & Tools: Django, Flask, Node.js, JQuery, Angular.js, Backbone.js
- Web Technologies: HTML5, CSS3, Bootstrap
- Databases: Google Cloud SQL, Graph/NoSQL, Bigtable, MySQL, MSSQL
- Cloud Platforms: Google Cloud Platform (Google App Engine, GKE, Anthos)
Job Highlights
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