- Architect, develop, and optimize machine learning and deep learning models for production systems
- Research and apply state-of-the-art AI methodologies, including LLMs, transformers, and reinforcement learning
- Lead AI strategy by identifying opportunities for innovation and model optimization
- Develop scalable training and inference pipelines for AI-powered applications
- Work closely with engineering, data, and product teams to integrate AI/ML into business solutions
- Optimize ML models for efficiency, accuracy, and scalability in real-world deployments
- Ensure robust MLOps practices, including model monitoring, retraining, and deployment automation
- Collaborate on AI/ML research publications, patents, and open-source contributions
Requirements
- 8+ years of experience in AI/ML, deep learning, or applied AI
- Expertise in Python and ML frameworks including TensorFlow, PyTorch, JAX, and Hugging Face Transformers
- Strong background in computer vision, NLP, generative AI, or reinforcement learning
- Experience developing scalable AI pipelines, data processing workflows, and distributed training systems
- Familiarity with big data tools including Apache Spark, Kafka, and Hadoop
- Familiarity with MLOps platforms including MLflow, TFX, and SageMaker
- Deep understanding of LLMs, transformer architectures, and retrieval-augmented generation (RAG) pipelines
- Experience with model quantization, fine-tuning, and performance optimization
- Strong knowledge of AWS, GCP, Azure, Docker, and Kubernetes
- Track record of technical leadership, mentoring, and driving AI innovation
- LinkedIn URL and resume/CV required for the Talent Network submission
Core Competencies
Demonstrates expertise in architecting and optimizing machine learning and deep learning models, with a strong focus on developing scalable AI pipelines and implementing robust MLOps practices. Proven ability to lead AI strategy and collaborate effectively with cross-functional teams to drive innovation.
Highest-signal resume keywords
- Machine Learning Model Optimization
- Deep Learning Expertise
- Python Programming
- MLOps Practices
- AI Strategy Leadership
ATS Optimization Keywords
Hard Skills
- Machine Learning
- Deep Learning
- Computer Vision
- Natural Language Processing
- Generative AI
- Reinforcement Learning
- Model Quantization
- Performance Optimization
- Data Processing Workflows
- Distributed Training Systems
Soft Skills
- Technical Leadership
- Mentoring
- Collaboration
Industry Keywords
- AI Methodologies
- LLMs
- Transformers
- Retrieval-Augmented Generation
- Cloud Platforms
- AWS
- GCP
- Azure
- Docker
- Kubernetes
Tools & Technologies
- TensorFlow
- PyTorch
- JAX
- Hugging Face Transformers
- Apache Spark
- Kafka
- Hadoop
- MLflow
- TFX
- SageMaker