AI/ML Engineer – GenAI & MLOps for Remote

Hi,

My name is Rohit Chauhan, and I am a Staffing Specialist at Novia Infotech LLC. I am reaching out to you on an exciting job opportunity with one of our clients.

 

Job Title: AI/ML Engineer – GenAI & MLOps

Location: Remote (Candidates must be able to work EST or CST hours)

Position Overview

We are seeking a highly skilled AI/ML Engineer – GenAI & MLOps to design, develop, deploy, and maintain enterprise-scale Artificial Intelligence and Machine Learning solutions. The ideal candidate will possess strong experience in Generative AI, Retrieval-Augmented Generation (RAG), MLOps, cloud-native architectures, and production-grade machine learning systems.

This role focuses on the end-to-end lifecycle of AI solutions—from model development and deployment to monitoring, optimization, and operationalization within cloud environments. The candidate will collaborate closely with engineering, product, and data teams to build scalable AI-powered applications that drive business value.

Key Responsibilities

• Design, develop, deploy, and maintain scalable AI/ML solutions in production environments.
• Build and implement Generative AI applications leveraging Large Language Models (LLMs).
• Architect and develop Retrieval-Augmented Generation (RAG) pipelines to improve contextual AI responses.
• Develop and integrate REST APIs supporting AI/ML services and applications.
• Create workflow orchestration pipelines for model training, deployment, and inference processes.
• Drive end-to-end MLOps initiatives including CI/CD, model versioning, deployment automation, monitoring, and governance.
• Build cloud-native AI solutions using AWS services and containerized infrastructure.
• Optimize model performance, scalability, reliability, and operational efficiency.
• Implement monitoring, logging, observability, and alerting for deployed AI systems.
• Collaborate with data engineers, software developers, product managers, and business stakeholders to operationalize AI use cases.
• Develop and maintain data pipelines supporting machine learning workflows.
• Ensure best practices for security, compliance, and production readiness of AI systems.
• Troubleshoot and resolve production issues related to AI/ML applications and infrastructure.

Required Technical Skills

Artificial Intelligence & Machine Learning

• Machine Learning Model Development & Deployment
• Production AI/ML Systems
• Generative AI (GenAI)
• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• Prompt Engineering
• Model Fine-Tuning
• Vector Databases
• Embedding Models

MLOps & AI Operations

• MLOps Frameworks and Practices
• Model Deployment & Monitoring
• ML CI/CD Pipelines
• Model Lifecycle Management
• Experiment Tracking
• Model Versioning
• Productionization of AI Models

Programming Languages

• Python (Advanced)
• REST API Development

AI/ML Frameworks & Libraries

• LangChain
• PyTorch
• TensorFlow
• Hugging Face
• Transformers
• Scikit-Learn

Cloud Technologies

• AWS SageMaker
• AWS Lambda
• Amazon S3
• Amazon ECS
• Amazon EKS
• AWS AI/ML Services

Containerization & Orchestration

• Docker
• Kubernetes

Workflow Orchestration

• Apache Airflow
• AWS Step Functions
• Workflow Automation

Data Engineering & Distributed Systems

• Data Pipelines
• ETL/ELT Processes
• Distributed Computing
• Streaming & Batch Processing
• Data Integration

DevOps & Automation

• CI/CD Pipelines
• Infrastructure Automation
• Monitoring & Observability
• Logging & Alerting

Preferred Qualifications

• Experience building enterprise-scale AI platforms.
• Hands-on experience with vector databases such as Pinecone, Weaviate, Chroma, or FAISS.
• Experience deploying LLM applications in production environments.
• Knowledge of AI governance, responsible AI, and model security practices.
• Familiarity with microservices architecture and event-driven systems.
• Experience working in Agile/Scrum environments.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field.
• 5+ years of experience in AI/ML Engineering or Machine Learning Platform Engineering.
• Strong hands-on experience deploying machine learning solutions into production.
• Proven experience with Generative AI, LLMs, and RAG architectures.
• Strong expertise in AWS cloud services and cloud-native application development.
• Advanced Python programming skills.
• Experience with containerization and orchestration technologies.
• Strong understanding of software engineering best practices and scalable system design.
• Excellent problem-solving, analytical, and communication skills.

 

Rohit Chauhan IT Recruiter E: rohit.c@noviainfotech.com www.noviainfotech.com A: 4421 Avenida Ln, McKinney, TX, 75070

 

 

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