onsite
Lead AI/ML Engineer - Apex Systems
ML Engineer
Lead AI/ML Engineer responsible for architecting, designing, and delivering large‑scale AI‑assisted solutions, automating rule extraction from legacy systems, and building next‑generation AI platforms on cloud infrastructure.
About the role
Key Responsibilities
- Architect and design end‑to‑end AI/ML solutions that modernize legacy business processes and enable automated rule extraction.
- Lead the development of scalable AI platforms using Python, deep‑learning frameworks, and cloud services (AWS, Azure).
- Collaborate with cross‑functional teams to integrate AI models into production pipelines, ensuring reliability and performance.
- Implement containerized deployments with Docker and orchestrate workloads using Kubernetes.
- Mentor junior engineers, establish best practices, and drive continuous improvement of AI/ML workflows.
Requirements
- 5+ years of professional experience in AI/ML engineering, including model development, training, and deployment.
- Strong proficiency in Python and deep‑learning libraries such as TensorFlow or PyTorch.
- Hands‑on experience with cloud platforms (AWS, Azure) and infrastructure‑as‑code tools.
- Expertise in containerization (Docker) and orchestration (Kubernetes) for scalable AI services.
- Proven ability to lead technical projects, communicate complex concepts, and mentor team members.
Skills
pythonmachine learningdeep learningawsdockerkubernetes