More jobs:
Job Description & How to Apply Below
Job Description 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
- Challenge and inspire customers and peers to solve difficult problems with ambitious and novel solutions
- 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
- Experience with AI Bot platforms, such as Dialog Flow/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)
- Software and Product Development on languages like Node Js, 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, over training 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.
- 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
- Make an impact at one of the world’s fastest-growing AI-first digital engineering companies.
- Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.
- Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.
- Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.
Note that applications are not being accepted from your jurisdiction for this job currently via this jobsite. Candidate preferences are the decision of the Employer or Recruiting Agent, and are controlled by them alone.
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search:
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search:
Search for further Jobs Here:
×