What are the responsibilities and job description for the Senior AI/ML Engineer position at PROLIM Global Corporation?
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
Salary : $120,000 - $140,000