Job Description

10+ years of experience in cloud architecture / solution engineering, with at least 3 years in the telecommunications domain.

5+ years of experience in AI/ML engineering, with at least 2+ years specifically focused on Generative AI (LLMs, diffusion models, etc.).

Hands-on expertise in vector similarity search systems such as ScaNN, FAISS, Pinecone, or Vespa.

Experience designing intelligent agent frameworks using tools like Dialogflow, LangChain, or custom orchestration pipelines.

Solid understanding of telecom OSS/BSS systems, 5G architecture, and network data processing.

Strong hands-on experience with Google Cloud Platform (GCP) AI/ML services, especially Vertex AI (Workbench, Training, Prediction, Pipelines, Feature Store).

Proficiency in Python and strong experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, JAX, Hugging Face Transformers).

Experience with data engineering and building robust data pipelines for AI/ML workloads on GCP (e.g., BigQuery, Dataflow).

Solid understanding of core AI/ML concepts, including deep learning, neural networks, NLP, and machine learning algorithms.

Familiarity with MLOps principles and tools for deploying, managing, and monitoring ML models in production.

Strong experience designing and deploying GCP-based solutions, including use of Vertex AI, BigQuery, Dataflow, and GKE.

Fluency in infrastructure-as-code tools like Terraform, Deployment Manager, or equivalent.

Excellent problem-solving skills, with a passion for building innovative and impactful AI solutions.

Job Type: Contract

Pay: 450.00 per day

Experience:

Cloud architecture: 10 years (required) AI/ML : 5 years (required)
Licence/Certification:

* Google Professional Cloud Architect (required)