Below is the Job Description-
AI/ML Engineer
Alpharetta, GA (3 Days a week onsite)
12 + Months
*** Local Candidates Highly Preferred***
Experience : 8+ yrs
Need AI/ML Engineer with Strong Deep Learning & Python Exp
·Machine learning (Modeling and Deep Learning)
·OCR - experience of building optical character recognition (OCR) in Python
·LLM - Hands-on experience of Python library for interacting with Large Language Models
·LangChain - knowledge and experience of LangChain an open-source framework to create applications using large language models (LLMs)
·Strong Programming skills in Python, Bash, Groovy and software engineering principles
·Passionate about building an innovative and team centric culture
·Knowledge of industry-wide technology trends and best practices
·Ability to work in large, collaborative teams to achieve organizational goals
Specific Requirements (Mandatory)
·Proven experience as a Data Scientist or Machine Learning Engineer or similar role for a minimum of 6+ years.
·Expert level experience in Data Science & ML SDLC, developing and deploying Python models and applications
·Experience monitoring model performance, and retraining redeploying ML models
·Familiarity with machine learning frameworks (like LangChain and PyTorch etc.) and libraries (like LLMs, scikit-learn etc.
Familiarity with data pipelines, monitoring and model performance tuning.
Top Skills
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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