What are the responsibilities and job description for the Software Developer Specialist (8244) position at Connect Tech+Talent?
Software Developer Specialist (8244)
Austin, TX (Hybrid - On Site and Telework)
12 Months Contract
Required
8 Years - 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).
8 Years - DevOps: Ansible, CI/CD, Docker and Kubernetes experience.
8 Years - Databases: SQL (PostgreSQL, MySQL) and NoSQL/vector databases.
8 Years - Scripting: Proficient in both Bash and PowerShell for automation.
8 Years - CI/CD Experience: Azure DevOps, GitHub Actions, Jenkins, or similar automation pipelines.
3 Years - Python: 3-5 years production experience, this is your primary language.
3 Years - NLP/LLMs: Experience with transformers (BERT, GPT, T5), RAG systems, fine-tuning, prompt engineering, or building LLM applications.
3 Years - Time Series: Forecasting models, anomaly detection, sequential data modeling, or real-time monitoring systems.
3 Years - Recommender Systems: Collaborative filtering, ranking models, personalization engines, or content recommendations.
3 Years - MLOps Tools: Production experience with MLflow, Weights & Biases, Kubeflow, Airflow, or similar platforms.
3 Years - Distributed Training: Large-scale model training, multi-GPU/multi-node setups, efficient data parallelism.
3 Years - Computer Vision: Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection, segmentation, or real-time inference.
3 Years - Feature stores (Feast, Tecton) or advanced feature engineering.
3 Years - Model optimization: quantization, pruning, knowledge distillation.
3 Years - LLM Models: Ollama, Huggingface, or other non-frontier models
2 Years - AI/ML Production: Built and deployed 2-3 ML models serving real users, not just experiments.
Preferred
1 Year - Experience with Geospatial Information Systems (GIS) and analyzing spatial data.
1 Year - Prior experience in the transportation, logistics, or smart city sectors.
1 Year - Background in Computer Vision (object detection, image segmentation) applied to infrastructure or vehicular data.
1 Year - Familiarity with public sector data compliance, security, and governance standards.
1 Year - Experience with the Unreal gaming engine and real world digital twinning
1 Year - Experience with Google Maps Cesium API
1 Year - Experience with Polygonflow Dash and its capabilities