onsite
Senior AI/ML Engineer - Raas Infotek LLC
ML Engineer
Lead end-to-end design, development, and deployment of production‑grade AI systems, leveraging deep learning, generative models, and MLOps practices on cloud‑native platforms.
About the role
Key Responsibilities
- Architect and implement scalable machine learning pipelines from data ingestion to model serving, ensuring high availability and performance.
- Design and train state‑of‑the‑art deep learning and generative AI models, optimizing for accuracy, inference speed, and resource utilization.
- Lead MLOps initiatives: CI/CD for model lifecycle, automated testing, monitoring, and rollback strategies across cloud environments.
- Collaborate with cross‑functional teams to translate business requirements into robust AI solutions, providing technical guidance and mentorship.
- Evaluate and integrate emerging AI technologies, frameworks, and cloud services to maintain competitive advantage.
Requirements
- 12+ years of professional experience in AI/ML engineering with a proven track record of production deployments.
- Expertise in deep learning frameworks (TensorFlow, PyTorch) and generative AI techniques.
- Strong MLOps background: model versioning, CI/CD pipelines, monitoring, and cloud deployment (AWS, Azure, GCP).
- Proficiency in Python, SQL, and containerization (Docker, Kubernetes).
- Excellent problem‑solving skills, strong communication, and ability to mentor junior engineers.
Skills
machine learningdeep learninggenerative aimlops