AIML Architect
AIML Architect
Posted on :
09-04-2025
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1 Vacancy
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Job Description
AI ML Architect is responsible for designing and building products/solutions that drive
business growth and productivity with latest AI/GenAI frameworks and methodologies
Band: C1/C2
Total Experience : 14 years
Relevant experience: 5 years
Qualification Required: BE/B.Tech/ME/M.Tech
Responsibilities:
Create translation of business needs into a conceptual logical and physical
architecture design of the AI solution
Collaboration with the AI technical teams needed to deliver the design
Leading architecture and design competency for the automation technology stack
Creation of solutions which adhere to Enterprise Architecture Development and
Information Risk Management standards and policies
Collaboration with developers and engineering teams resolving the most challenging
tasks ensuring the proposed design is properly implemented.
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
Lead the endtoend architecture and development of machine learning solutions
Primarily responsible for solving problems in various business domains through
mixture and tuning of existing algorithms and AI solution components in the areas of
NLP Sentiment analysis Machine Learning Artificial Neural Networks Deep learning.
Analyze and extract structured knowledge from large unstructured data to automate
and optimize key business problems.
Should be able to measure accuracies for various components of AIML/NLP pipeline.
Skills:
1. Minimum 6 years of experience with designing and implementing AI/ML model out
of which minimum 2 years in implementing GenAI based solutions
2. Solid experience as solution and platform architect providing technical leadership and
guidance designing enterprise software.
3. Experience in LLMs/Open Source LLMs (like ChatGPT LLama GeminiMixtral etc. and
Langchain/Lamaindex frameworks
4. Experience in building RAG pipeline using Langchain/Lamaindex frameworks
5. Knowledge of ML frameworks (TensorFlow PyTorch OpenCV) and familiarity with
deep learning concepts is a must
6. Experience with cloud platforms (e.g. AWS GCP Azure) and containerization (Docker
Kubernetes).
7. Understanding of key Machine learning/AIalgorithms is must.
8. Must have proficiency in document OCR skill
9. Proficiency with Python and basic libraries for machine learning such as scikitlearn
and pandas OpenCV
10. Expertise in visualizing and manipulating big datasets using Matplotlib or Plotly
Employment Type
Full-Time
Key Skills
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