AI/ML Software Developer Specialist
Role details
Job location
Tech stack
Job description
Join a high-impact AI engineering team focused on building next-generation machine learning and intelligent automation solutions. This role offers the opportunity to develop production-grade AI applications, deploy advanced machine learning models, and help drive enterprise AI adoption through cloud-native architecture, MLOps, and modern software engineering practices. Ideal for experienced developers with strong AI/ML, cloud, and DevOps expertise who are passionate about transforming innovative concepts into scalable business solutions., * Design, develop, and deploy production-ready AI and machine learning applications
- Transform AI proof-of-concept solutions into scalable enterprise web applications
- Build secure, user-friendly web interfaces for AI-powered engineering workflows
- Develop and maintain CI/CD pipelines and automated deployment processes
- Deploy and manage AI/ML workloads across cloud platforms
- Implement MLOps best practices for model training, deployment, monitoring, and governance
- Build and optimize machine learning models for real-world production use
- Develop solutions involving NLP, large language models, computer vision, and predictive analytics
- Integrate AI services with enterprise applications and data platforms
- Collaborate with technical and business stakeholders to deliver innovative AI solutions
- Support model performance tuning, optimization, and scalability initiatives
Requirements
8+ years of experience with cloud platforms including AWS, Azure, Google Cloud Platform, or OCI
8+ years of DevOps experience with Docker, Kubernetes, Ansible, and CI/CD automation
8+ years of experience with SQL and NoSQL database technologies
8+ years of scripting experience using Bash and PowerShell
8+ years of experience with Azure DevOps, GitHub Actions, Jenkins, or similar CI/CD platforms
3+ years of production Python development experience
3+ years of experience with NLP, LLMs, transformers, RAG systems, prompt engineering, or AI application development
3+ years of experience with time-series forecasting, anomaly detection, or real-time monitoring systems
3+ years of experience developing recommender systems or personalization engines
3+ years of MLOps experience using tools such as MLflow, Kubeflow, Airflow, or Weights & Biases
3+ years of experience with distributed model training and scalable ML architectures
3+ years of computer vision experience using technologies such as PyTorch, TensorFlow, OpenCV, or YOLO
Experience with feature engineering, feature stores, and model optimization techniques
Experience deploying AI/ML solutions that serve real-world users in production environments
Preferred Qualifications
Experience with GIS and spatial data analysis
Transportation, logistics, smart city, or infrastructure industry experience
Computer vision experience applied to infrastructure or vehicle-related data
Knowledge of public sector security, compliance, and governance requirements
Experience with digital twin technologies and Unreal Engine
Familiarity with Google Maps, Cesium APIs, or geospatial visualization platforms
Experience with Polygonflow Dash or similar visualization technologies
Experience working with Hugging Face, Ollama, and open-source LLM frameworks