We are looking for a Senior AI / ML Engineer to lead our AI / ML development efforts and shape the technical direction of our AI-driven products. You will be responsible for designing, building, and deploying scalable AI / ML solutions and mentoring the team in best practices.
Responsibilities
- Develop AI / ML Models : Design and build advanced AI / ML models.
- Scale ML Models : Optimize for production using FastAPI, TensorFlow, PyTorch.
- Deploy on Cloud : Build and deploy on AWS, GCP, or Azure with Kubernetes, Terraform.
- Lead AI Research : Drive R&D in deep learning, NLP, computer vision.
- Implement CI / CD : Create pipelines for AI deployment (Podman, Jenkins).
- Ensure Data Security : Manage governance, security, and compliance.
- Collaborate with Stakeholders : Align AI with business goals.
- Mentor Engineers : Train and guide junior team members.
Requirements
Strong expertise in AI / ML frameworks : TensorFlow, PyTorch, Scikit-learn.Proficiency in cloud platforms : AWS, GCP, Azure (experience with Kubernetes, Terraform).Any one of these Certifications is mandatory for the application to be accepted :
DP-100 : Azure Data Scientist Associate (Microsoft)AI-102 : Azure AI Engineer Associate (Microsoft)AZ-305 : Azure Solutions Architect Expert (Microsoft)Machine Learning- Specialty (Amazon AWS)Solutions Architect-Associate / Professional (Amazon AWS)IBM AI Engineering (Coursera)CKA : Certified Kubernetes AdministratorProgramming skills : Python, FastAPI, SQL, Shell Scripting.MLOps experience : CI / CD, Podman, Jenkins, Model Deployment & Scaling.Security & DevOps knowledge : TLS, SSH, Vault, IAM roles, certificates.Proven track record of leading AI / ML projects from research to production.Experience with Hugging Face models, transformer architectures, and fine-tuning NLP / CV models.Supplementary Skills :
Experience with reinforcement learning and generative AI.Contribution to open-source AI / ML projects.Research papers, patents, or prior experience in AI product start-ups.