LearningMate - AI Architect - Machine Learning Solutions

1 day ago

Mumbai, Maharashtra, India LearningMate Solutions Pvt Ltd. Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Role : AI Architect

Experience : 10 -15 yrs

Location : Mumbai

Job Details :

Must Have Skills/Competencies :

- Responsible for building AI/ML technical Solutions and ensuring delivery and running operations of the AI/ML practice.

- Act as AI/ML lead role for our AI/ML Practice and products, and services, catering to industries mainly in the EdTech domain.

- Able to consult, advise, and help in pre-sales of Automation based solutions for large, reputed enterprise clients in the EdTech (K-12, HE, Workforce, HE, Govt, Corporate)

- Ability to communicate with customers, and C-level executives of reputed organizations within India and abroad.

- Led the technical architecture and tech competency center for AI/ML in the past.

- Work with the Presales function of the Data Science (AI/ML) practice that shall include account planning, handling proposals from RFP to SOW, and other activities such as solution architecture, effort estimation, resource ramp-up, costing, demos, Oral presentations.

- Monitor the health of the projects in the practice to ensure that the projects are following the laid-out processes with a good risk mitigation plan and are delivered on schedule.

Responsibilities :

- At least 10 to 15 years of total experience in the Technology space

- Experience of having worked in AI/ML/NLG for at least 2-3 years.

- Must be a hands-on technical expert with at least 2 -3 years in AI project Development, and 5 to 7 years of Technical Architect.

- Have hands-on experience as an AI and Automation technical Architect working with multiple Technologies like LLMs, Lang-chain and Agentic AI, etc to build and arrive at an end solution based on the client problem statement.

- Experience as a professionally employed team lead successfully building AI based solutions for enterprise use cases, or self-employed/entrepreneur or similar roles.

- Must have Data Science AI/ML experience along with Open-Source technologies (Python, Langchain and Agentic AI, such as Google ADK) is a must.

- Experience in implementing ML solutions by gathering Machine Learning needs, conferring with end customers/Data Analytics team members, understanding data infrastructure and architecture, and work processes.

- Possesses an understanding of Machine Learning principles including standard algorithms for Regression and Classification, Deep Learning constructs (RNN, CNN, RBMs, Auto Encoders), AI systems such as Vision, NLP/NLU, etc.

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