The Role
Designs, deploys, and optimizes AI and machine learning models on Google Cloud Platform. Performs data analysis, predictive modeling, SQL-based ETL, and Python development for data pipelines and ML workflows. Monitors production model performance, improves algorithms, documents technical processes, and collaborates with cross-functional teams to deliver AI-driven solutions and communicate insights to non-technical stakeholders.
Summary Generated by Built In
Summary
We are seeking an experienced Data Scientist specializing in Artificial Intelligence and Machine Learning to drive innovation within our IT Services sector. In this pivotal role, the successful candidate will leverage advanced analytics and predictive modeling to solve complex business challenges. The position demands a deep understanding of modern data ecosystems and the ability to translate raw data into actionable strategic insights that enhance operational efficiency and customer value.
Responsibilities
- Design, develop, and deploy scalable machine learning models and AI solutions utilizing Google Cloud Platform (GCP) infrastructure.
- Conduct comprehensive data analysis and exploratory research to identify patterns, trends, and opportunities for algorithmic improvement.
- Collaborate with cross-functional teams to define project scope, objectives, and deliverables for AI-driven initiatives.
- Write efficient, maintainable, and optimized code in Python to implement data pipelines and machine learning workflows.
- Perform complex data extraction, transformation, and loading (ETL) processes using SQL to ensure data integrity and accessibility.
- Monitor model performance in production environments and iterate on algorithms to maximize accuracy and reliability.
- Document technical processes, methodologies, and findings to facilitate knowledge sharing and future development.
Requirements
Requirements:
- Possess a minimum of 6 to 9 years of professional experience in data science, machine learning, or a related technical field.
- Demonstrate expert-level proficiency in Python programming for data analysis and model development.
- Show proven hands-on experience with Artificial Intelligence and Machine Learning concepts, algorithms, and frameworks.
- Have extensive practical knowledge of Google Cloud Platform (GCP) services and tools for cloud-based data engineering and AI deployment.
- Exhibit strong command of SQL for querying databases and managing large-scale datasets.
- Hold a relevant degree in Computer Science, Statistics, Mathematics, or a comparable discipline.
- Ability to work independently and communicate complex technical concepts to non-technical stakeholders effectively.
Skills Required
- 6 to 9 years of professional experience in data science, machine learning, or a related technical field
- Expert-level proficiency in Python for data analysis and model development
- Hands-on experience with artificial intelligence and machine learning concepts, algorithms, and frameworks
- Extensive practical knowledge of Google Cloud Platform services and tools for cloud-based data engineering and AI deployment
- Strong command of SQL for querying databases and managing large-scale datasets
- Relevant degree in Computer Science, Statistics, Mathematics, or a comparable discipline
- Ability to work independently and communicate complex technical concepts effectively to non-technical stakeholders
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
Vrinda International is a Chandigarh-based recruitment and education consultancy connecting job seekers and employers through domestic and international IT and non-IT hiring. It also supports students with overseas university admissions, visa applications, education guidance, and test preparation for IELTS, PTE, and other programs. Its tech-enabled talent portal provides job matching and career pathways across India and global markets, alongside staffing partnerships.
