GEN AI ENGINEER

This is a remote position.

Ideal candidate will be having experience in Gen AI deployment and production. Without this profile will not move forward. Earlier they must have worked as AI Engineers ML engineers and data scientists. But recent 3 to 4 years they must have been worked as Gen AI.

Role

Gen AI Engineer 3 positions

Client

Confidential (Let them know they ll come to know during screening call with me)

Employment Type

Contract duration 6months to 12 months

Interview Process

Technical ( client round)

Work mode

Remote

Job Description

Role

Gen AI Engineer: ML Engineering

Employment Type

Contract

Work location

Remote in USA

Work mode

Remote

About the role

looking for an AI Engineer who will be responsible for designing developing and deploying machine learning models in production environments. This role will involve working with large datasets building and evaluating models and integrating them with other systems. The ideal candidate will have a strong understanding of machine learning algorithms experience with model deployment and monitoring and a passion for staying at the forefront of AI technology.

Job Responsibilities

• Model Development: Design develop and implement machine learning models to address business challenges.
  
• Model Evaluation and Optimization: Evaluate model performance finetune parameters and optimize models for accuracy and efficiency.
  
• Production Deployment: Deploy models into production environments ensuring scalability reliability and maintainability.
  
• Text2SQL AI Orchestration: Develop and implement solutions for natural language processing (NLP) tasks including texttoSQL conversion.
  
• VectorDB and LLM Integrations: Integrate vector databases and large language models (LLMs) into AI solutions. Embedding/Chunking Strategies: Develop and implement strategies for embedding and chunking data for efficient processing.
  
• Prompt Engineering: Design and refine prompts for LLMs to optimize performance.
  

Platform Expertise: Utilize platforms like Bedrock and Sagemaker for building and deploying AI solutions.
Collaboration: Work closely with data scientists engineers and business stakeholders to deliver impactful AI solutions.

Mandatory Qualifications

• 9 years of experience in machine learning engineering or a related field.
  
• Strong understanding of machine learning algorithms and principles.
  
• Experience with model evaluation metrics feedback loops and optimization techniques.
  
• Proficiency in Python and relevant ML libraries (e.g. scikitlearn TensorFlow PyTorch).
  
• Experience with deploying and monitoring models in production environments.
  
• Knowledge of Text2SQL AI orchestration vector databases and LLM integration.
  
• Familiarity with embedding/chunking strategies and prompt engineering techniques.
  
• Experience with cloud platforms AWS (Bedrock Sagemaker) and/or Azure/GCP.
  

Strong problemsolving and analytical skills. Excellent communication and collaboration skills.

Additional / Nicetohave Qualifications

• Experience with MLOps practices and tools. Contributions to opensource ML projects or publications in relevant conferences.
  

Certifications in AWS and/or other cloud platforms.

Required Education

• Bachelors or master s degree in computer science in a related field.
  

Travel Requirement (%)

Infrequent travel as required for Inperson client meetings Company culture / focus events Training and/or alliance needs