Posted on: 06/05/2026
Roles & Responsibilities :
- Develop, train, and deploy machine learning and deep learning models to solve complex business problems
- Design and build scalable ML solutions using Google Cloud Platform (GCP)
- Work extensively with Vertex AI for model training, deployment, and lifecycle management
- Build and manage end-to-end ML pipelines on GCP (data ingestion training deployment monitoring)
- Work with large structured and unstructured datasets to extract actionable insights
- Design and implement NLP models for text analytics and information extraction
- Perform feature engineering, data preprocessing, and statistical analysis
- Optimize model performance and ensure scalability in production environments
- Monitor, maintain, and continuously improve deployed models
- Collaborate with cross-functional teams (data engineers, analysts, product teams)
- Use frameworks like TensorFlow and PyTorch for model development
Preferred Candidate Profile :
- 5 - 12 years of experience in Data Science / Machine Learning
- Strong hands-on experience with Google Cloud Platform (GCP) - MUST HAVE
- Strong Python programming skills for ML and data science
- Hands-on experience in Machine Learning and Deep Learning algorithms
- Expertise in Natural Language Processing (NLP)
- Good understanding of statistics, predictive modeling, and data analysis
- Experience with SQL and large-scale data processing
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Posted by
Pratish Martolia
Last Active: NA as recruiter has posted this job through third party tool.
Posted in
AI/ML
Functional Area
Data Science
Job Code
1633620