onsite
AI Developer - Steampunk
Software Engineer
Senior AI Developer building end‑to‑end AI solutions—from data ingestion to production deployment—using Python, deep learning frameworks, LLMOps, and cloud services like AWS, Docker, and Kubernetes.
About the role
Key Responsibilities
- Design, prototype, and deploy predictive, generative, and autonomous AI models using Python and deep learning frameworks.
- Engineer data pipelines for ingestion, preprocessing, and feature engineering at scale.
- Collaborate with product, design, and LLMOps teams to integrate models into production applications.
- Implement CI/CD workflows with Docker, Kubernetes, and AWS services to ensure reliable, scalable deployments.
- Monitor model performance, conduct A/B testing, and iterate on model improvements.
Requirements
- 5+ years of experience in AI/ML engineering with a strong portfolio of production‑ready models.
- Proficiency in Python, TensorFlow/PyTorch, and experience with LLMOps practices.
- Hands‑on expertise in cloud platforms (AWS), containerization (Docker), and orchestration (Kubernetes).
- Excellent problem‑solving skills and ability to translate business needs into technical solutions.
- Strong communication skills and experience working cross‑functionally with product and design teams.
Skills
pythonmachine learningdeep learningawsdockerkubernetes