| Senior Machine Learning, MLOps, and Generative AI Engineer at Atlanta, Georgia, USA |
| Email: ryan@nityainc.com |
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https://jobs.nvoids.com/job_details.jsp?id=2170872&uid= From: Nitya, Nitya software solution ryan@nityainc.com Reply to: ryan@nityainc.com Role: Senior Machine Learning, MLOps, and Generative AI Engineer Location: Atlanta, GA 30342 (100% Onsite) _ No flexibility in location, share email confirmation from candidate along with submission C2C Job Description : Senior Machine Learning, MLOps, and Generative AI Engineer with hands-on experience in end-to-end development, deployment, and optimization of ML models in AWS environments. Deep understanding of AWS machine learning services, MLOps best practices, and generative AI frameworks (e.g., LangChain, LLMs), along with expertise in API design and optimization. Lead architecture, deployment, and monitoring of scalable ML systems while driving innovation in AI-driven solutions Key Responsibilities End-to-End ML Development & Deployment: Design, build, and deploy machine learning models on AWS (SageMaker, ECR, Lambda, etc.) for production-grade systems. Implement CI/CD pipelines for ML workflows using tools like AWS Code Pipeline, GitHub Actions, or Jenkins. MLOps & Model Lifecycle Management: Monitor and mitigate model drift using techniques like A/B testing, retraining pipelines, and performance metrics. Optimize model inference latency and scalability using AWS services (e.g., SageMaker Endpoints, ECS/Fargate). Generative AI & LLM Solutions: Develop and fine-tune Large Language Models (LLMs) for chatbots, content generation, and other NLP tasks. Leverage frameworks like LangChain to build context-aware, chain-based AI applications. Architect retrieval-augmented generation (RAG) pipelines for enterprise use cases. API Development & Optimization: Design and deploy REST/GraphQL APIs for ML models using FastAPI, Flask, or AWS API Gateway. Optimize API performance (latency, throughput) and ensure seamless integration with downstream systems. Cross-Functional Collaboration: Partner with data engineers, DevOps, and product teams to ensure alignment on architecture, security, and scalability. Mentor junior engineers and lead technical discussions on ML/AI best practices. Documentation & Innovation: Document architectures, deployment processes, and model governance policies. Stay ahead of industry trends (e.g., vector databases, RLHF, multi-modal AI) and prototype innovative solutions. Technical Skills: AWS: SageMaker, ECR, Lambda, CloudFormation, IAM, S3, and monitoring tools (CloudWatch, SageMaker Model Monitor). MLOps: Model versioning (MLflow), orchestration (TFX, Kubeflow), and drift detection (Evidently, AWS SageMaker Model Monitor). Generative AI: Hands-on experience with LangChain, LLMs (GPT, Claude, Llama), and vector databases (Pinecone, FAISS). APIs: FastAPI/Flask, API Gateway, and optimization techniques (caching, async processing, load balancing). Programming: Python (PyTorch, TensorFlow), infrastructure-as-code (Terraform, CDK), and containerization (Docker, Kubernetes) Soft Skills: Strong problem-solving, communication, and leadership abilities Keywords: continuous integration continuous deployment artificial intelligence machine learning sthree Georgia Senior Machine Learning, MLOps, and Generative AI Engineer ryan@nityainc.com https://jobs.nvoids.com/job_details.jsp?id=2170872&uid= |
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| 04:10 AM 13-Feb-25 |