Senior AlMl Engineer
Job Location:
Austin, TX - USA
Monthly Salary:
Posted:
Application Deadline:
Vacancies:
Job Summary
| Hi
This is Aditya Staffing Expert from Nexiva Inc . Im reaching out regarding a Role that aligns well with your experience. Let me know if youre open to discuss . Please check below role and share me your updated Resume with contact details or You can share me a References if any one your known looking an Opportunity! |
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| Job Description Title: Senior Al/Ml Engineer Location: Austin TX (Hybrid) Need Local/Within 100 Miles Duration: Long Term MOI: Though Microsoft Teams Need LinkedIn and State Exp (Transportation logistics smart city or infrastructure industry) Position Overview seeking an experienced Software Developer Specialist to support and expand the agencys Artificial Intelligence and Machine Learning initiatives. This role will focus on transforming AI proof-of-concept solutions into scalable enterprise-grade web applications that enhance transportation engineering operations. The selected consultant will develop and deploy advanced AI/ML solutions supporting plan review automation roadway asset detection digital delivery systems intelligent transportation workflows and engineering-related software services. The ideal candidate possesses deep expertise in cloud-based AI platforms MLOps computer vision large language models (LLMs) and production-grade machine learning systems. Key Responsibilities Design develop and deploy production-ready AI/ML applications supporting transportation engineering workflows. Transform existing AI proof-of-concept solutions into scalable enterprise web applications. Build and maintain machine learning pipelines for model training deployment monitoring and optimization. Develop computer vision solutions for roadway asset detection image analysis and infrastructure monitoring. Implement and optimize Large Language Model (LLM) applications utilizing Retrieval-Augmented Generation (RAG) prompt engineering and model fine-tuning. Develop automated quantity extraction and plan conformance verification solutions. Build and maintain CI/CD pipelines for AI and software deployment. Deploy AI workloads across cloud platforms including AWS Azure Google Cloud Platform and Oracle Cloud Infrastructure. Manage containerized environments using Docker and Kubernetes. Implement model monitoring governance performance optimization and lifecycle management. Collaborate with engineering GIS data science and business stakeholders to deliver innovative solutions. Support MLOps frameworks and automation for model deployment and maintenance. Ensure solutions comply with security governance and public-sector technology standards. Required Qualifications Cloud & Infrastructure 8 years of experience deploying and managing AI/ML workloads in cloud environments: o Microsoft Azure AI Services o AWS SageMaker and Bedrock o Google Vertex AI o Oracle Cloud AI Services DevOps & Automation 8 years of experience with: o Docker o Kubernetes o Ansible o CI/CD methodologies Databases 8 years working with: o PostgreSQL o MySQL o NoSQL databases o Vector databases Scripting & Development 8 years of Bash and PowerShell scripting. 3 years of production Python development as primary programming language. AI / Machine Learning 3 years of experience with: o NLP and Large Language Models o GPT BERT T5 Transformers o RAG architectures o Prompt engineering o Fine-tuning LLMs Machine Learning Specializations Time series forecasting and anomaly detection. Recommender systems and personalization engines. Distributed model training environments. Advanced feature engineering and feature stores (Feast Tecton). Model optimization techniques including: o Quantization o Pruning o Knowledge Distillation MLOps Experience with: MLflow Kubeflow Airflow Weights & Biases Similar MLOps platforms Computer Vision Production experience with: PyTorch TensorFlow OpenCV YOLO Object Detection Image Segmentation Real-Time Inference Systems AI Production Experience Successfully built and deployed multiple ML models serving production users. Experience operating AI systems beyond experimental or research environments. Qualifications:
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Best Regards
Aditya Shrivastava
Lead Technical Recruiter
Nexiva Inc
