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AI/ML Engineer
1 month ago
Job Description :
We Seek A Talented And Experienced AI/ML Engineer With 3+ Years Of Experience To Join Our Team.
You Will Have The Opportunity To Work On Real-Time Cutting-Edge Operational Analytics Projects In The Construction Domain.
This Role Involves Leading A Team Of AI/ML Engineers, Developing Business-Ready Solutions, And Innovating With The Latest AI/ML Techniques.
Key Responsibilities :
Team Leadership :
- Lead And Mentor A Team Of AI/ML Engineers, Ensuring Successful Project Delivery And Fostering A Collaborative Environment.
Data Analysis & Pooling :
- Extract And Analyze Data From SQL Servers And Cloud-Based Distributed Systems Using SQL, Python, Or R.
- Develop And Maintain Data Pipelines To Ensure Efficient Data Flow And Processing.
Solution Development :
- Create Business-Ready Solutions Using React, Angular, Python, And Flask.
- Conceptualize And Develop Microservices-Based Architecture For Scalable Solutions.
- Develop MLOps/AIOps Pipelines To Streamline AI/ML Workflows.
AI/ML Techniques :
- Implement And Innovate Using The Latest Retrieval-Augmented Generation (RAG), Advanced RAG, Prompting, Advanced Prompting Techniques, And Chain Of Thought Prompting.
- Utilize Generative AI, LoRA, And Related Technologies To Build Advanced AI Solutions.
- Create EAI/GenAI Platform Architecture To Support Various AI Applications.
Model Development & Deployment :
- Build Large Language Model (LLM) Applications Using Frameworks Like LlamaIndex And Langchain.
- Deploy Machine Learning Models Using Cloud Platforms Such As Azure, GCP, Or AWS, And Utilize Their ML APIs For Vision/Audio-Based Analytics.
- Write Python Code For A Wide Array Of Data Science Tasks, Including Regression Analysis, Principal Component Analysis (PCA), And Time Series Analysis.
Innovation & Research :
- Continuously Innovate On Algorithms By Staying Up-To-Date With And Implementing Cutting-Edge Research Papers.
- Develop Quick Proof-Of-Concepts To Demonstrate The Feasibility And Effectiveness Of Proposed Solutions.
Required Skills And Qualifications :
Technical Skills :
- Proficiency In SQL, Python, And R For Data Analysis And Manipulation.
- Strong Experience With Front-End Frameworks Such As Angular Or React.
- In-Depth Knowledge Of AI/ML Algorithms And Their Implementation.
- Experience With Cloud Platforms Such As Azure, GCP, Or AWS, And Their ML APIs.
- Familiarity With Kubernetes For Model Deployment And Management.
- Knowledge Of Retrieval-Augmented Generation (RAG), Advanced RAG, Prompting, Advanced Prompting Techniques, And Chain Of Thought Prompting.
- Experience With Generative AI, LoRA, And Related Technologies.
- Ability To Build LLM Applications Using Frameworks Like LlamaIndex And Langchain.
Analytical Skills :
- Strong Analytical And Problem-Solving Skills, With The Ability To Perform Complex Data Analysis Tasks.
- Ability To Innovate On Existing Algorithms By Staying Up-To-Date With The Latest Research.
Leadership Skills :
- Proven Ability To Lead And Mentor A Team Of AI/ML Engineers.
- Excellent Communication And Interpersonal Skills, With The Ability To Convey Complex Technical Concepts To Non-Technical Stakeholders.
Soft Skills :
- Ability To Work Independently And As Part Of A Team, With Minimal Supervision.
- Strong Organizational Skills, With The Ability To Manage Multiple Tasks And Projects Simultaneously