Last date
22/06/2026
Openings
1 or more
Qualification
Scikit-learn;Model Monitori...
Post
Full Time
Overview
Roles & Responsibilities:Design, develop, and deploy machine learning models using TensorFlow, PyTorch, and scikit-learn.Implement model serving and APIs using Python and FastAPI.Build, manage, and utilize ML pipelines on GCP, including Vertex AI, Bi...
- Company
- Powered by Monster
- Location
- Ganganagar; Rajasthan; Uttar Pradesh
- Salary
- 1200000 - 2350000 (per annum)
- Skill Required
- Scikit-learn;Model Monitoring;Vertex AI / BigQuery ML
- Duration
- Not specified
- Posted On
- 26/4/2026
- Company Client
- (On behalf of Cerebra IT Services Private Limited)
- External Apply URL
- True
Detail Fields
Sector: Other Service Activities Functional Area: Human Resources Functional Role: Fresher Total Experience In Years: 5 - 10 Nature Of Job: Full Time Gender Preferences: Any Ex Servicemen Preferred: No
Eligibility
Criteria Education: Job Requirement as per Employer posting Label Criteria Skill: Job Requirement as per Employer posting Criteria Experience: Job Requirement as per Employer posting Criteria Location: Job Requirement as per Employer posting Yes: No
Full Detail Text
Company Name: Powered by Monster (On behalf of Cerebra IT Services Private Limited) Click here for more details Job Title Ai Ml Engineer Organisation Type Sector Other Service Activities Functional Area Human Resources Functional Role Fresher Job Description Roles & Responsibilities:Design, develop, and deploy machine learning models using TensorFlow, PyTorch, and scikit-learn.Implement model serving and APIs using Python and FastAPI.Build, manage, and utilize ML pipelines on GCP, including Vertex AI, BigQuery ML, and Feature Store.Monitor ML model performance, detect drift, and implement retraining workflows.Work on AI/ML projects involving GenAI tools and frameworks.Ensure best practices in ML model development, deployment, and monitoring.Maintain documentation and reproducibility of ML experiments and models.Preferred Candidate Profile:Strong hands-on experience with Python and ML frameworks (TensorFlow, PyTorch, scikit-learn).Proficient with GCP ML services like Vertex AI, BigQuery ML, and Feature Store.Experience in building ML APIs using Fas
