Job Description

Responsibilities:

As an Architect, you drive by Conversational AI & Data Analytics products and solution development. In a typical product lifecycle, you will be working as the technology lead with a sound understanding of the business drivers and the capabilities of IT and how these can contribute to run an organization better or differently. You will lead a team of Data Scientists and Data Engineers and be their single point of contact for technical clarification and impediment resolution.


• Creative translation of business needs into a conceptual, logical, and physical architecture design of the solution


• Responsible for understanding the business problems, identifying/applying the right AI, Data Analytics tools, and technologies to solve problems, and involving in the formulation and execution of technologies


• Collaboration with the technical teams needed to deliver the design. Leading architecture and design competency for the automation technology stack


• Independently design and undertake new research as well as a partner in a team environment across organizations.


• Develop topics for creative and innovative R&D approaches to solving major machine-learning or artificial intelligence challenges


• Manage the full lifecycle of Machine Learning microservices, including model prototyping, training & evaluation, containerization, unit testing, performance optimization, and deployment in a Docker or Kubernetes-based infrastructure

  • Develop required data analytics models, algorithms, or prototype applications applying formulated AI recipes and verify the problem/solution fit. Develop models for prediction, recommendation, anomaly detection, and sentiment insights.

    • • Collaboration with developers and engineering teams resolving the most challenging tasks ensuring the proposed design is properly implemented.


    • Design and develop standard/custom analytics report & dashboards.


    • Understand the information needs of the users, structure reports, and provide a detailed analysis basis the user needs and develop BI dashboards and reports that are simple and intuitive to use.


    • Proactively identify and address technical strengths, weaknesses, opportunities, and threats across the automation landscape • Strategy for managing the changes to the architecture (new business needs, technology changes, etc.)


    • Explain architecture standards and recommendation to business partners and drive alignment


    • Report progress and maintain a proper level of communication with management and staff, as appropriate.


    Desired Candidate Profile


    • Minimum 3 years of hands-on experience in the AI and Data Analytics field.


    • 2+ years of strong experience in building AI-based conversational ChatBot using Dialogflow or Azure BOT


    • 3+ years of experience in Big data stacks to derive Data Intelligence and experience in working cloud-based platforms and technologies (AWS/Microsoft Azure/IBM Watson).


    • Solid experience as a solution architect, providing technical leadership and guidance designing enterprise software.


    • Good exposure to Machine Learning/Deep Learning tools & techniques and experience in Natural Language processing.


    • Experience integrating solutions that incorporate the state-of-the-art methods coupled with the creativity and intelligence to advance beyond in one or more subfields of ML or AI: Computer Vision; Pattern Recognition; Predictive Modeling and Decision Support; Reduced Order Modeling


    . • Hands-on experience in Python is mandatory.


    • Hands-on exposure in Tableau/Power BI, etc.


    • Hands-on experience in ML/DL libraries like TensorFlow, Keras, PyTorch is mandatory.


    • Strong data visualization skills in creating information-dense, easy to understand reports & dashboards.


    • Deep experience in building descriptive, predictive analytical solutions like Segmentation, Classification, and Clustering


    • Must be able to clearly understand and articulate a data science problem and work on solutions independently.


    • Experience in SQL and experience with relational databases like Oracle, Teradata, MS SQL Server, etc


    . • Well-versed with different APIs and API methods.


    • Realtime experience in production code deployment using Kubernetes or Docker


    • Good to have Healthcare and Retail domain experience.


    • Bachelor’s degree in Computer Science or related field is required.


    Leadership/Personal Attributes Strategic thinking


    • Excellent analytical, logical, problem solving, and numerical skills.


    • A self-starter, creative thinker, collaborator, and a confident communicator with a passion for excellence.


    • Ability to handle multiple assignments/projects simultaneously, prioritizing workloads to meet competing deadlines


    . • Demonstrated ability to roll up your sleeves and proactively learn new technologies.


    • Display a solid work ethic and provide the best possible support on a timely basis.


    • Have a mindset of Continuous Improvement.


    • Be able to work independently with minimal supervision.


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