Software Developer Specialist AIML & Computer Vision

Hello There

My name is Himanshu and I serve as the Recruitment Manager at Nexiva INC. I am reaching out to share an excellent career opportunity for the role of Senior AI/ML Engineer with our esteemed client. If you are interested then please share your updated resume at

Job Description

Position : Senior AI/ML Engineer (Generative AI & MLOps Focus)

Location : Austin TX Hybrid
Duration : 12 Months Extension Options

Position Overview

We are seeking a Senior Software Developer Specialist to design develop and deploy enterprise-scale Artificial Intelligence and Machine Learning solutions. This role will focus on transforming AI proof-of-concept initiatives into secure scalable and production-ready applications that support engineering infrastructure and digital transformation initiatives.

The ideal candidate will possess strong expertise in AI/ML engineering Large Language Models (LLMs) Computer Vision MLOps Cloud Platforms and DevOps automation with a proven track record of deploying machine learning solutions in production environments.

Key Responsibilities

• Design and develop enterprise AI/ML applications and services.
• Build and deploy Large Language Model (LLM) solutions Retrieval-Augmented Generation (RAG) systems and Generative AI applications.
• Develop Computer Vision solutions for object detection image segmentation and automated analysis.
• Create scalable machine learning pipelines and automate model deployment using MLOps best practices.
• Implement cloud-native AI solutions across AWS Azure GCP and OCI environments.
• Develop and maintain CI/CD pipelines for automated deployment and monitoring.
• Manage structured unstructured and vector-based data platforms.
• Optimize machine learning models for performance scalability and production readiness.
• Collaborate with cross-functional teams to deliver innovative AI-driven business solutions.

Required Qualifications

Software Engineering & Cloud

• 8 years of experience with cloud platforms including AWS Azure GCP or OCI.
• 8 years of experience with DevOps technologies including Docker Kubernetes Ansible and CI/CD pipelines.
• 8 years of experience with SQL and NoSQL databases.
• 8 years of experience with Bash and PowerShell scripting.
• Experience with Azure DevOps GitHub Actions Jenkins or similar automation tools.

Artificial Intelligence & Machine Learning

• 3 years of hands-on Python development experience in production environments.
• Experience developing and deploying machine learning models serving real-world users.
• Strong understanding of Large Language Models (GPT BERT T5 Hugging Face Ollama).
• Experience with Prompt Engineering Fine-Tuning and Retrieval-Augmented Generation (RAG).
• Experience with Time Series Forecasting Anomaly Detection and Sequential Data Modeling.
• Experience building Recommender Systems and Personalization Engines.

MLOps & Model Deployment

• Experience with MLflow Kubeflow Airflow Weights & Biases or similar platforms.
• Experience with distributed training multi-GPU environments and scalable ML infrastructure.
• Experience with feature stores and advanced feature engineering techniques.
• Experience optimizing models through quantization pruning and knowledge distillation.

Computer Vision

• Experience developing Computer Vision solutions using PyTorch TensorFlow OpenCV and YOLO.
• Experience with object detection segmentation and real-time inference systems.

Preferred Qualifications

• Experience with GIS and geospatial data analysis.
• Transportation logistics smart city or infrastructure domain experience.
• Experience with digital twin technologies and Unreal Engine.
• Familiarity with Cesium Google Maps APIs or geospatial visualization platforms.
• Experience working within government or public-sector environments.
• Knowledge of public-sector security compliance and governance standards.

Ideal Candidate

The ideal candidate is a senior AI/ML professional who combines strong software engineering fundamentals with expertise in Machine Learning Computer Vision MLOps and Generative AI technologies. They should have experience delivering production-grade AI solutions and be comfortable working in a highly collaborative fast-paced environment.

Work Environment

• Hybrid work schedule.
• Minimum four days onsite per week in Austin TX.
• Occasional evening or weekend work may be required to support project deadlines.