Globant - GCP Data Scientist

Total Experience : 5-12 years

GCP Exp - min 3 years and its services (VertexAI, BigQuery) - Mandate

We are looking for a Data Scientist with strong expertise in Machine Learning, Statistical Modeling, and Google Cloud Platform. The candidate will be responsible for developing advanced analytics solutions, building AI/ML models, and supporting conversational AI initiatives using GCP-native Skills & Experience

Data Science & Machine Learning:

- Strong foundation in statistical analysis and predictive modeling.

- Hands-on experience with machine learning algorithms, including decision trees, neural networks, and other commonly used supervised and unsupervised learning techniques.

- Expertise in data wrangling, preprocessing, feature engineering, and model development.

- Experience in experimentation frameworks and A/B testing methodologies.

- Ability to build, evaluate, and optimize machine learning models for business applications.

- Experience with data visualization and communicating insights to Strong programming skills in Python and/or R.

- Experience developing scalable data science solutions and analytical workflows.

NLP & Conversational AI:

- Experience in Natural Language Processing (NLP).

- Hands-on experience developing conversational AI solutions and chatbots.

- Understanding of language models and conversational workflows.

- Experience with LangChain and ADK Skills & Experience:

- Statistical analysis and modeling

- Machine learning algorithms (trees, NN, other basic algorithms)

- Data visualization

- Programming (Python, R)

- Data wrangling and preprocessing

- Experimentation and A/B testing

- Natural Language Processing (NLP)

- Conversational AI Development

- Chatbots Development

- GitOps

- Google BigQuery

- Google AI Platform (Vertex AI)

- Vertex AI Notebooks

- Google Cloud Dataflow

- Google Cloud Functions

- Google Cloud Storage (GCS)

- Google Cloud AutoML

- Google Cloud Pub/Sub

- Vertex AI Workbench

- Google Cloud Natural Language API: For NLP tasks.

- CCAI (CES)

- Langchain / ADK

Must-Have Skills (Required):

- Core Platform Expertise: hands-on experience with Google Cloud Platform (GCP), specificallyCX Agent Studio and Dialogflow CX.

- Conversational AI Logic: Strong understanding of NLU concepts (Intents, Entities, Parameters) and state management in conversational flows.

- Backend Development: Proficiency in Python for writing webhooks and server-side logic (Google Cloud Functions).

- API Integration: Deep experience designing and consuming RESTful APIs and handling JSON data structures to fetch user profiles, order status, etc.

- Prompt Engineering: Demonstrated ability to write and refine system instructions/prompts to control LLM behavior (grounding, tone, safety).

Good-to-Have Skills (Preferred):

- Vector Search & Embeddings: Experience with vector databases specifically Datastores

- Contact Center AI (CCAI): Familiarity with CCAI architecture, including integration with telephony providers (Genesys, Avaya, Twilio).

- Frontend Integration: Basic knowledge of UI design to assist with embedding agents into web or mobile client applications.

- Data Analysis: Experience using BigQuery to analyze conversation logs and extract actionable insights.

- Multilingual Support: Experience designing agents that support multiple languages and localization standards

(ref:iimjobs.com)