IDC: Hiring: Sr. AI/ML Developer @ Austin, TX (Hybrid - Onsite), #The candidates must be local to Austin, TX nearby location, have 13+ years of experience

Monday, June 8, 2026

Hiring: Sr. AI/ML Developer @ Austin, TX (Hybrid - Onsite), #The candidates must be local to Austin, TX nearby location, have 13+ years of experience

Hello All,

Hope you are doing well,

Note: The candidates must be local to Austin, TX nearby location, have 13+ years of experience

We do have the role of Sr. AI/ML Developer with our client. Below I have shared the detailed job description. Let me know if you are interested in discussing this role further.

Title: Sr. AI/ML Developer

Location: Austin, TX (Hybrid - Onsite)

Duration: 12+ Months

Job Description:

Cloud Platforms: Experience with AWS, Azure, GCP, or OCI for deploying and managing ML workloads. We leverage AI/ML tools across all major cloud providers (Azure AI, AWS SageMaker/Bedrock, GCP Vertex AI, OCI AI Services).
DevOps: Ansible, CI/CD, Docker and Kubernetes experience.
Databases: SQL (PostgreSQL, MySQL) and NoSQL/vector databases.
Scripting: Proficient in both Bash and PowerShell for automation.
CI/CD Experience: Azure DevOps, GitHub Actions, Jenkins, or similar automation pipelines.
Python: 3-5+ years production experience, this is your primary language.
NLP/LLMs: Experience with transformers (BERT, GPT, T5), RAG systems, fine-tuning, prompt engineering, or building LLM applications.
Time Series: Forecasting models, anomaly detection, sequential data modeling, or real-time monitoring systems.
Recommender Systems: Collaborative filtering, ranking models, personalization engines, or content recommendations.
MLOps Tools: Production experience with MLflow, Weights & Biases, Kubeflow, Airflow, or similar platforms.
Distributed Training: Large-scale model training, multi-GPU/multi-node setups, efficient data parallelism.
Computer Vision: Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection, segmentation, or real-time inference.
Feature stores (Feast, Tecton) or advanced feature engineering.
Model optimization: quantization, pruning, knowledge distillation.
LLM Models: Ollama, Huggingface, or other non-frontier models
AI/ML Production: Built and deployed 2-3+ ML models serving real users, not just experiments.
Experience with Geospatial Information Systems (GIS) and analyzing spatial data.
Prior experience in the transportation, logistics, or smart city sectors.
Background in Computer Vision (object detection, image segmentation) applied to infrastructure or vehicular data.
Familiarity with public sector data compliance, security, and governance standards.
Experience with the Unreal gaming engine and real world digital twinning
Experience with Google Maps Cesium API
Experience with Polygonflow Dash and its capabilities