Business Intelligence Support Specialist



Not disclosed

Work from Office

Full Time

Min. 6 Years

Job Details

Job Description

ArtificiaI Intelligence Lead

  •  Minimim 6+ years of experience with designing and implementing AI/ML model, out of which minimum 2+ years on implementing GenAI based solutions.
  • Strong implementation expertise around foundation models like computer vision models (ResNet, EfficientNet, YOLO) and Generative Model Transformers (GANs, VAEs) to augment the intelligence of low latency predictive algorithms.
  • Experience in development and deployment of Models in battery powered Compute Devices having GPUs/TPUs/NPUs accelerators for offline inferencing.
  • Experience with deploying and fine tuning Large Multi-modal models with capability of audio synthesis, generative image and video.
  • Conversant with Quantization, Speculative Decoding, Kernel Fusion, CoT, RAG, PeFT.
  • Conversant with model evaluation techniques and benchmarks.
  • Conversant with design, develop, and optimize data pipelines for ingesting, processing, and transforming large-scale data from various sources (structured and unstructured).
  • Create and maintain data models that align with ML requirements.
  • Deploy ML models (Computer Vision, NLP) into production systems and operationalize MLOps.
  • Knowledge of ML frameworks (TensorFlow, PyTorch, OpenCV) and familiarity with deep learning concepts is a must.
  • Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization (Docker, Kubernetes).
  • Strong proficiency in Python, SQL, and ETL tools (e.g., Apache Spark, Airflow).

Mandatory Skill: Device side GenAI implementation. Experience with quantizing inference model (LLM/LMM) and deploying on devices with limited compute and memory. Preferably worked on deploying and running ML/LMM models on NVIDIA, QUALCOMM chipsets, etc.

Good to have skill : Conversant with Quantization, Speculative Decoding, Kernel Fusion.

GGUF, LoRA, PeFT, Knowledge Distillation.



Role Purpose

The purpose of this role is to develop minimum viable product (MVP) and comprehensive AI solutions that meet and exceed client’s expectations and add value to business.




  1. Manage the product/ solution development using the desired AI techniques
    1. Lead development and implementation of custom solutions through thoughtful use of modern AI technology
    2. Review and evaluate the use cases and decide whether a product can be developed to add business value
    3. Create the overall product development strategy and integrating with the larger interfaces
    4. Create AI models and framework and implement them to cater to a business problem
    5. Draft the desired user Interface and create AI models as per business problem
    6. Analyze technology environment and client requirements to define product solutions using AI framework/ architecture
    7. Implement the necessary security features as per product’s requirements
    8. Review the used case and see the latest AI that can be used in product’s development
    9. Identify problem areas and perform root cause analysis and provide relevant solutions to the problem
    10. Tracks industry and application trends and relates these to planning current and future AI needs
    11. Create and delegate work plans to the programming team for product development
    12. Interact with Holmes advisory board for knowledge sharing and best practices


  1. Responsible for developing and maintaining client relationships with the key strategic partners and decision makers
    1. Drive discussions and provide consultation around product design as per customer needs
    2. Participate in client interactions and gather insights regarding product development
    3. Interact with vertical delivery and business teams and provide and correct responses to RFP/ client requirements
    4. Assist in product’s demonstration and receive feedback from the client
    5. Design presentations for seminars, meetings and enclave primarily focused over product


  1. Team Management
    1. Resourcing
      1. Forecast talent requirements as per the current and future business needs
      2. Hire adequate and right resources for the team
    2. Talent Management
      1. Ensure adequate onboarding and training for the team members to enhance capability & effectiveness
      2. Build an internal talent pool and ensure their career progression within the organization
  • Manage team attrition
  1. Drive diversity in leadership positions
  1. Performance Management
    1. Set goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports
    2. Ensure that the Performance Nxt is followed for the entire team
  2. Employee Satisfaction and Engagement
    1. Lead and drive engagement initiatives for the team
    2. Track team satisfaction scores and identify initiatives to build engagement within the team


Stakeholder Interaction


Stakeholder Type

Stakeholder Identification

Purpose of Interaction



For solutioning and product demos


To understand the business need and client interaction

Holmes Advisory Board

Knowledge sharing and best practices

Internal Functions (HR, Procurement, IRMC, finance)

To find reusable access solution to the problems

Delivery Leadership Teams

Know about RFP and specific problems regarding project

Product manager and theme owner

For product development and strategy



Product demo, deployment etc





Lists the competencies required to perform this role effectively:

  • Functional Competencies/ Skill
    • Domain/Industry Knowledge - Awareness and knowledge of broad economic, demographic, technological and global trends within own SL industry - Expert
    • Systems Thinking - Understanding of the Wipro system (interrelatedness, interdependencies and boundaries) and perform problem solving in a complex environment - Master
    • Leveraging Technology - Knowledge of current and upcoming technology (automation, tools and systems) to build efficiencies and effectiveness in own function/ Client organization - Expert
    • Solution Focus - Apply design thinking to bring about new and novel solutions or changes in processes, products or the way business is conducted - Expert
    • Technical Knowledge - Knowledge of AI, ML frameworks to be deployed - Expert


Competency Levels


Knowledgeable about the competency requirements. Demonstrates (in parts) frequently with minimal support and guidance.


Consistently demonstrates the full range of the competency without guidance. Extends the competency to difficult and unknown situations as well.


Applies the competency in all situations and is serves as a guide to others as well.


Coaches others and builds organizational capability in the competency area. Serves as a key resource for that competency and is recognised within the entire organization.


  • Behavioral Competencies
    • Formulation &Prioritization
    • Client centricity
    • Execution Excellence
    • Passion for Results
    • Confidence
    • Business Acumen








Performance Parameter



Continuous technical project management & delivery

Adoption of new technologies, IP creation, MVP creation, Number of patents filed, Research papers created


Client Centricity

No. of automation done, On-Time Delivery, cost of delivery, optimal resource allocation


Capability Building & Team Management

% trained on new age skills, Team attrition %, Number of webinars conducted (internal/external)



Job role

Work location



IT & Information Security

Role / Category

IT Security

Employment type

Full Time


Day Shift

Job requirements


Min. 6 years

About company



Job posted by Wipro

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