Job description
Join NovaTech AI Labs, a leading innovator in practical AI solutions across industries. We are seeking a Senior AI Engineer to design, implement, and scale high-impact AI systems. You will work with cross-functional teams to translate complex business problems into reliable AI products and services.
In this role, you will build state-of-the-art machine learning models, deploy scalable pipelines, and contribute to product strategy through rigorous evaluation and experimentation. We value collaboration, curiosity, and a bias for shipping high-quality code.
At NovaTech AI Labs, you will have the opportunity to influence product direction, mentor teammates, and stay at the forefront of AI technology in a fast-paced, collaborative environment.
Responsibility
- Lead design, development, and deployment of large-scale ML models and AI systems in production.
- Collaborate with data scientists, engineers, and product teams to translate business problems into AI solutions.
- Build robust data pipelines, feature stores, model training workflows, evaluation, and versioning.
- Implement MLOps practices including CI/CD, monitoring, alerting, model drift detection, and governance.
- Optimize models for latency, scalability, and cost; perform profiling and performance tuning.
- Mentor junior engineers, contribute to code reviews, architecture decisions, and best practices.
- Drive experimentation strategy; design A/B tests and measurement plans; communicate results to stakeholders.
Qualification
- Bachelor's degree in CS, Data Science, or related field; 5+ years of hands-on AI/ML experience.
- Deep expertise in Python and ML frameworks such as PyTorch and TensorFlow; strong data science foundation.
- Proficiency with cloud platforms (AWS, GCP, Azure) and MLOps tooling (Kubeflow, MLflow, Seldon).
- Experience with NLP or computer vision projects, including working with LLMs and prompt engineering.
- Strong data engineering skills including SQL, data warehouses, and feature store concepts.
- Solid software engineering practices: version control, testing, documentation, CI/CD.
- Excellent communication and collaboration skills; comfortable working in cross-functional teams.
- Track record delivering production AI systems and influencing product decisions.