Skip to main content
Tallo logoTallo logo
Apply for this opportunity

This job application is on an outside website. Be sure to review the job posting there to verify it's the same.

Senior AI/ML Engineer

Job

PROLIM Global Corporation

Austin, TX (In Person)

Full-Time

Posted 4 days ago (Updated 1 day ago) • Actively hiring

Expires 7/8/2026

Review key factors to help you decide if the role fits your goals.
Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
100
out of 100
Average of individual scores

Were these scores useful?

Skill Insights

Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.

Job Description

Job Description:
Cloud Platforms:
Experience with AWS, Azure, Google Cloud Platform, or OCI for deploying and managing ML workloads. We leverage AI/ML tools across all major cloud providers (Azure AI, AWS SageMaker/Bedrock, Google Cloud Platform 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