Dear Partner,
Good Morning ,
Greetings from Nukasani group Inc !, We have below urgent long term contract project immediately available for Senior Engineer – Generative AI & MLOps (AWS), Atlanta, GA – Remote need submissions you please review the below role, if you are available, could you please send me updated word resume, and below candidate submission format details, immediately. If you are not available, any referrals would be greatly appreciated.
Interviews are in progress, urgent response is appreciated. Looking forward for your immediate response and working with you.
**Candidate Submission Format - needed from you**
Full Legal Name
Personal Cell No ( Not google phone number)
Email Id
Skype Id
Interview Availability
Availability to start, if selected
Current Location
Open to Relocate
Work Authorization
Total Relevant Experience
Education./ Year of graduation
University Name, Location
Last 5 digits of SSN
Country of Birth
Contractor Type
DOB: (dd/mm) mm/dd
Home Zip Code
LinkedIn ID
Assigned Job Details
Job Title : Senior Engineer – Generative AI & MLOps (AWS)
Location: Atlanta, GA – Remote
Rate : Best competitive rate
**Role Summary**
The client is seeking a highly skilled Senior Generative AI & MLOps Engineer to design, deploy, and scale production-grade AI and ML solutions on AWS. This role focuses on building robust MLOps pipelines, operationalizing large language models (LLMs), enabling scalable AI services, and ensuring adherence to governance, security, and compliance standards. The ideal candidate combines deep technical expertise in Generative AI, cloud-based ML deployments, and DevOps practices.
**Key Responsibilities**
Design, implement, and manage end-to-end MLOps pipelines for training, deployment, monitoring, and automated retraining.
Deploy and optimize Generative AI/LLM applications, including Retrieval-Augmented Generation (RAG) frameworks.
Productionize ML models and enable scalable inference services for enterprise workloads.
Implement CI/CD automation for ML workflows, including versioning, testing, and deployment.
Monitor model performance, detect drift, and establish automated retraining processes.
Enforce AI/ML governance, security, compliance, and responsible AI controls.
Collaborate with data science, DevOps, and engineering teams to integrate AI solutions into production systems.
Stay current with emerging AI/ML technologies, tools, and cloud practices.
**Required Skills & Expertise**
Generative AI & ML
Strong experience with LLMs, Generative AI, Prompt Engineering, and RAG frameworks
Proficiency in MLOps and end-to-end ML lifecycle management
Cloud & Infrastructure (AWS)
AWS services: SageMaker, Bedrock, Lambda, EKS/ECS, S3, Step Functions, API Gateway, CloudWatch, IAM, AWS Organizations & governance controls
Infrastructure as code: Terraform, CloudFormation
Containerization & orchestration: Docker, Kubernetes
Programming & Frameworks
Python, PyTorch, TensorFlow
ML frameworks: LangChain, LlamaIndex
API development: FastAPI, Flask
CI/CD & Automation
CI/CD tools: Jenkins, GitHub Actions
Monitoring, logging, and automated deployment best practices
**Governance & Security**
Knowledge of model governance, access control, data security, and compliance practices
**Experience**
8+ years in software engineering or ML engineering
Proven experience with cloud-based ML deployments, including model operationalization and governance
Hands-on expertise in production-grade Generative AI applications
Remote & Onsite Requirements
Atlanta, GA – Remote work with onsite presence twice a month
Candidates must be local to Atlanta or able to commute as required
Preferred Qualifications
Experience in financial services or regulated environments
Exposure to AI-driven automation, LLM fine-tuning, or enterprise-grade RAG solutions
AWS certifications or equivalent cloud qualifications
Thanks and Regards
Nancy || Recruitment Consultant || Nukasani Group ||
1001 E Chicago Ave, Unit B 111, Naperville IL 60540.
Email: || Direct:
People, Process, Technology Integrator.
An E-Verified Company.
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