Lead Software Developer - NodeJs/Python

United States🕖 8 months ago

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 2013Headquartered in Boston, with 4000+ Quantiphi professionals across the globeGreat Places to Work certified for 2 consecutive years- 2022, 2021Recognized by Everest Group as Specialist Leader and Star Performer in Analytics and AI Services, 2022Recognized as an AIFinTech100 Company, 2022 by InsurTechWinner of Best in Business Award in Established Business category by INC., 2022Winner of Competitive Strategy Leadership Award in Artificial Intelligence Services in Healthcare by Frost & Sullivan, 2022Recognized in Gartner Hype Cycle Reports for AI Strategy, 2022Winner of 2021 Google Cloud Breakthrough Partner of the Year- North AmericaWinner of 2021 AWS Canada Rising Star of the YearRecognized as Leader in IDC MarketScape: WorldWide AI IT Services, 2021Recognized in the Fast Company 2021 World Changing Ideas- AI and Data categoryWinner 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 maintenanceLead engagements with multiple work-streams; prepare project plans and manage deliverables Guide and help team members to debug and solve technical problemsReview and perform code walkthrough and quality reviewsClient Management:Managing customer communication & relationshipsGuide the client on technology evaluation, technical thought leadership and direction for Conversational AI projectsConstantly sync with the product & Business team to align on business priorities, and plan for long term and short-term architecture goalsShowcase thought leadership on technology roadmaps, agile development methodologies and best practicesChallenge and inspire customers and peers to solve difficult problems with ambitious and novel solutionsTeam management: Work with the team to identify and qualify business opportunities. Identify key customer technical objections and develop a strategy to resolve technical blockersEnsure proper skill development of team membersTravel 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) ORSoftware and Product Development on languages like NodeJs, Python etc. Excellent communication, articulation, abstraction, analytical and presentation skillsAbility to work with minimal supervision in a dynamic and time sensitive work environmentTeam management experience is must Excellent aptitude in business analysis and awareness of quantitative analysis techniquesKnowledge of one of NodeJS or Python is a mustUnderstanding 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 servicesExperience working with scalable, high-performance systemsExperience 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-relationalExperience in the Cloud deployments on GCP, AWS or Azure

Quantiphi

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