AI/ML Engineer

Posted 12 Days Ago
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Indore, Madhya Pradesh
In-Office
Mid level
Artificial Intelligence • Cloud • Database • Analytics
The Role
The AI/ML Engineer will work with LLMs, train ML models, and utilize AWS AI/ML services while leveraging strong Python skills and knowledge of computer vision.
Summary Generated by Built In
Requirements:
·        Hands-on experience with LLMs and RAG
·        Strong Python skills
·        Experience training ML models (time-series, real-time data)
·        Knowledge of Computer Vision
·        Experience with AWS AI/ML services (Amazon Bedrock preferred)
·        Familiarity with open-source AI tools

Top Skills

Aws Ai/Ml Services
Llms
Open-Source Ai Tools
Python
Rag
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The Company
Cupertino, California
9 Employees
Year Founded: 2022

What We Do

Driving Innovation through Advanced Data and AI Services.

We offer next-level data and AI services to help you transform your data into actionable insights for a competitive edge.

To augment your teams, we offer full-time/contract resources & consulting, design and development services for turnkey projects in the following areas:

01 DATA MODERNIZATION
Define Cloud strategy, architecture & roadmap
Identify current landscape & catalog data sources
Data warehouse design & setup
Develop data governance & data quality framework
Implement data management technologies
Build data analytics capabilities
Inculcate data driven culture
A future-ready framework to serve all business use cases

02 DATA INTEGRATION & CLOUD MIGRATION
Design & develop
Optimized data models and data pipelines
ETL/ELT workloads & monitoring
Processes that scale up and down without performance problems
Automate data migration between upstream/downstream (on-prem) systems and Cloud

03 DATA ANALYTICS & AI
Data analytics consulting – use-case exploration and building analytics roadmap
Data preparation and creating a single version of truth
Dashboard & report development
AI/ML model selection and development
AI/ML model tuning and validation
AI/ML model scaling, integration and deployment

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