Job description
NovaMind AI Labs is seeking a seasoned Senior AI Engineer to join our San Francisco team. You will design and deploy cutting-edge AI/ML solutions that power product experiences across industries. This is a hands-on, leadership-focused role with opportunities to influence architecture, data strategy, and model governance.
What you'll do as part of the team: contribute to architecture decisions, collaborate cross-functionally, and push the boundaries of applied AI. We offer a competitive compensation package, equity, and comprehensive benefits.
Responsibility
- Lead the design, development, and deployment of scalable AI/ML models, including large language models and multimodal systems.
- Collaborate with data scientists, data engineers, and product teams to define data features and success criteria.
- Build end-to-end ML pipelines from data ingestion and preprocessing to model training, evaluation, and deployment (MLOps).
- Implement monitoring, alerting, and governance to ensure model reliability, fairness, and privacy compliance in production.
- Optimize models for latency, throughput, and cost across cloud environments (AWS/GCP/Azure).
- Mentor and grow the AI/ML engineering team; perform code reviews and contribute to architecture decisions.
- Drive experimentation culture with repeatable experiments, versioning, and rigorous evaluation against business metrics.
- Partner with product managers and stakeholders to translate business requirements into AI solutions.
Qualification
- Master’s or PhD in Computer Science, Electrical Engineering, Mathematics, or related field; or equivalent practical experience.
- 5+ years of hands-on AI/ML engineering experience with production systems.
- Strong programming skills in Python; experience with PyTorch or TensorFlow (preferably both).
- Experience with MLOps tools (MLflow, Kubeflow, Seldon) and CI/CD for ML deployments.
- Proficiency with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
- Solid foundation in statistics, data structures, algorithms, and model evaluation; strong problem-solving and communication skills.
- Experience with data pipelines, Spark, SQL, and data processing frameworks.
- Demonstrated ability to mentor teammates and work effectively with cross-functional teams; track record of delivering impact.