About Us
Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.
Company Highlights
- Delivered 2.5x growth YoY since its inception in 2013
- Headquartered in Boston, with 4000+ Quantiphi professionals across the globe
Accolades
- Great Places to Work certified for 2 consecutive years- 2022, 2021
- Recognized by Everest Group as Specialist Leader and Star Performer in Analytics and AI Services, 2022
- Recognized as an AIFinTech100 Company, 2022 by InsurTech
- Winner of Best in Business Award in Established Business category by INC., 2022
- Winner of Competitive Strategy Leadership Award in Artificial Intelligence Services in Healthcare by Frost & Sullivan, 2022
- Recognized in Gartner Hype Cycle Reports for AI Strategy, 2022
- Winner of 2021 Google Cloud Breakthrough Partner of the Year- North America
- Winner of 2021 AWS Canada Rising Star of the Year
- Recognized as Leader in IDC MarketScape: WorldWide AI IT Services, 2021
- Recognized in the Fast Company 2021 World Changing Ideas- AI and Data category
- Winner of NVIDIA's Americas Service Delivery Partner of the Year, 2021
Responsibilities
- Technical Project Delivery:
- Own the complete SDLC of our product(s) by managing the solutioning, engineering, testing, release and maintenance
- Lead engagements with multiple work-streams; prepare project plans and manage deliverables
- Guide and help team members to debug and solve technical problems
- Review and perform code walkthrough and quality reviews
- Client Management:
- Managing customer communication & relationships
- Guide the client on technology evaluation, technical thought leadership and direction for Conversational AI projects
- Constantly sync with the product & Business team to align on business priorities, and plan for long term and short-term architecture goals
- Showcase thought leadership on technology roadmaps, agile development methodologies and best practices
- Team management:
- Work with the team to identify and qualify business opportunities
- Identify key customer technical objections and develop a strategy to resolve technical blockers
- Ensure proper skill development of team members
- Travel to customer sites, conferences, and other related events as required
Required Skills
- Experience with AI Bot platforms, such as DialogFlow/API.AI, Cloud ML, Microsoft Bot Framework and Azure Cognitive Services, Amazon Lex, IBM Watson, Wit.ai, Salesforce Einstein, Rasa etc. (as a Project Manager/Analyst/Consultant) OR
- Software and Product Development on languages like NodeJs, Python etc.
- Excellent communication, articulation, abstraction, analytical and presentation skills
- Ability to work with minimal supervision in a dynamic and time sensitive work environment
- Team management experience is must
- Excellent aptitude in business analysis and awareness of quantitative analysis techniques
- Knowledge of one of NodeJS or Python is a must
- Understanding of Natural Language Processing (NLP) and supervised Machine Learning (ML) concepts (such as vectorization, N-gram, classification, clustering, overtraining etc.)
- Experience with deploying machine learning algorithms as REST API based services
- Experience working with scalable, high-performance systems
- Experience in architecting solutions and integrations with multiple technologies and systems
Nice to have skills
- Strong understanding of the NLP space (natural language understanding, sentiment analysis, personality insight etc.), conversational interfaces, and leveraging existing services and libraries (integration, configuration, training, continuous learning)
- Well versed with voiced based processing (text to speech, speech to text)
- Experiences with Databases – relational and non-relational
- Experience in the Cloud deployments on GCP, AWS or Azure
Expertise level
Key skills
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