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Senior AI / ML Engineer (Tech Lead - AI / ML)

Senior AI / ML Engineer (Tech Lead - AI / ML)

Spurring Ventures IndiaBengaluru, Karnataka, India
3 days ago
Job description

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 Administrator
  • Programming 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.
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