We’re Hiring: AI Specialist (Senior / Junior) – Data & Analytics
2 Open Positions: 1 Senior + 1 Junior
We are looking for two AI Specialists to join our Data & Analytics team. Together they will build and deliver ML/DL, GenAI and agentic AI solutions on GCP that solve real business problems, taking each one from use case to production.
🔹 Position 1: AI Specialist (Senior)
Experience: 8+ years | Openings: 1
Role Purpose
Builds and delivers ML/DL, GenAI and agentic AI solutions on GCP that solve real business problems. Works closely with business stakeholders, data engineers and BI teams from use case to production.
Key Responsibilities:
- Translate business problems into ML/DL and GenAI use cases with clear success metrics
- Build, train, tune and evaluate ML/DL models (classification, forecasting, churn, NLP) using Python and SQL
- Develop GenAI solutions on Vertex AI, including RAG pipelines, prompt design and LLM evaluation
- Build document intelligence solutions for extraction, classification and summarization of business documents
- Design and build AI agents that use tools, APIs and enterprise data to complete multi-step tasks
- Implement agent workflows with function calling, memory, guardrails and human-in-the-loop approval steps
- Use DataRobot for automated modeling, model comparison, deployment and monitoring
- Prepare and validate training data from the data warehouse and data lake with data engineers
- Deploy models and agents to production and monitor accuracy, drift, latency and cost
- Present results and model insights to business users in clear, non-technical language
- Document models, prompts, datasets, experiments and agent designs
- Follow data privacy, security and responsible AI policies, including bias and hallucination testing
- Track tasks and progress in Jira and deliver against agreed sprint plans
Required Technical Skills & Tools:
- 3+ years of hands-on experience in ML/DL and SQL with business-facing delivery
- Strong Python skills (pandas, NumPy, scikit-learn, PyTorch or TensorFlow)
- Practical experience with GenAI, including RAG, embeddings, vector search and document intelligence
- Strong proficiency in GCP, especially Vertex AI and its LLM models (Gemini), BigQuery and Cloud Storage
- Agentic AI: hands-on experience with at least one agent framework (Google ADK / Vertex AI Agent Builder, LangChain / LangGraph, CrewAI or similar)
- Agentic AI: tool / function calling, multi-step planning, agent memory and Model Context Protocol (MCP) concepts
- Agentic AI: evaluating and testing agents (task success, accuracy, safety guardrails, cost per run)
- Basic MLOps / LLMOps: model versioning, CI/CD, monitoring (Vertex AI Pipelines, Git)
- DataRobot experience: highly recommended
- Telco industry exposure (churn, network, customer experience, revenue assurance use cases): highly recommended
- Familiarity with DWH / data lakes: a plus
- Working knowledge of Jira and Agile delivery
🔹 Position 2: AI Specialist (Junior)
- Experience: 3+ years | Openings: 1
Role Purpose
- Supports the delivery of ML/DL, GenAI and agentic AI solutions on GCP under the guidance of the Senior AI Specialist. Builds and tests solution components, prepares data and monitors models in production.
- Support the translation of business problems into ML/DL and GenAI use cases, working from requirements defined with the Senior AI Specialist
- Prepare, clean and validate training datasets from the data warehouse and data lake with data engineers
- Build, train and evaluate ML/DL models (classification, forecasting, churn, NLP) using Python and SQL under guidance
- Develop components of GenAI solutions on Vertex AI, such as RAG pipeline steps, prompt variants and LLM evaluation runs
- Assist in building and testing AI agents and tool integrations designed by senior team members
- Use DataRobot to run automated modeling and model comparison, and document the results
- Support model and agent deployment, and monitor accuracy, drift, latency and cost in production
- Prepare results and visualizations for business users and review them with the Senior AI Specialist
- Document models, prompts, datasets and experiments
- Follow data privacy, security and responsible AI policies, including bias and hallucination testing
- Track assigned tasks in Jira and deliver against agreed sprint plans
Required Technical Skills & Tools:
- Hands-on experience in ML/DL and SQL (2–3 years), including project delivery
- Good Python skills (pandas, NumPy, scikit-learn; PyTorch or TensorFlow is a plus)
- Working knowledge of GenAI concepts: RAG, embeddings, vector search and prompt design
- Working knowledge of GCP, especially Vertex AI, BigQuery and Cloud Storage
- Awareness of agentic AI concepts (tool / function calling, agent memory, Model Context Protocol) and exposure to at least one agent framework
- Basic MLOps / LLMOps: Git, model versioning and monitoring
- DataRobot experience: a plus
- Telco industry exposure (churn, network, customer experience use cases): a plus
- Familiarity with DWH / data lakes: a plus
- Working knowledge of Jira and Agile delivery
