Full-Time
MLOps Engineer
Google Cloud Platform
Posted on 9/5/2025
qode.world
51-200 employees
AI-powered talent acquisition for tech roles
No salary listed
Hyderabad, Telangana, India + 1 more
More locations: Chennai, Tamil Nadu, India
Hybrid
Hybrid workplace type indicates a mix of remote and in-office work.
 AI & Machine Learning (1) |
|---|
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 3+ years of experience in MLOps or a related role.
- Strong proficiency in Python and PySpark.
- Extensive experience with Google Cloud Platform (GCP) services, including BigQuery, Airflow, and Dataproc.
- Experience with containerization technologies such as Docker and Kubernetes.
- Experience with CI/CD pipelines and automation tools.
- Solid understanding of machine learning concepts and algorithms.
- Experience with model monitoring and alerting tools.
- Excellent problem-solving and communication skills.
- Ability to work independently and as part of a team.
- Experience with infrastructure-as-code tools such as Terraform or CloudFormation is a plus.
- Design, develop, and maintain scalable and reliable MLOps pipelines on GCP.
- Automate the deployment and monitoring of machine learning models in production.
- Collaborate with data scientists to productionize their models and experiments.
- Implement CI/CD pipelines for machine learning models.
- Monitor model performance and identify areas for improvement.
- Troubleshoot and resolve issues related to ML infrastructure and deployments.
- Optimize ML pipelines for performance and cost efficiency.
- Develop and maintain documentation for MLOps processes and infrastructure.
- Stay up-to-date with the latest MLOps tools and techniques.
- Ensure compliance with security and data privacy regulations.
- Experience with infrastructure-as-code tools such as Terraform or CloudFormation is a plus.
Qode.world focuses on recruiting specialized tech roles. It uses AI to streamline assessments through customizable AI interviewers and live interviews, and it integrates with LinkedIn to build a talent pool and message candidates. The platform provides data-driven insights from global data points to improve candidate matching. Revenue comes from tailored recruitment services targeting niche and senior positions, aiming to increase hiring efficiency and speed for clients. Compared to competitors, Qode.world emphasizes niche tech expertise, scalable AI interview workflows, and direct candidate communication via LinkedIn, which helps quickly identify qualified candidates from a broad network.
Company Size
51-200
Company Stage
N/A
Total Funding
N/A
Headquarters
Singapore
Founded
2023
Simplify's Take
What believers are saying
- GenAI talent assessment adoption among Fortune 500 firms grew 40%+ in 2025-2026, expanding TAM.
- Technical recruiting for emerging roles shows 35% YoY demand growth with 90+ day time-to-hire gaps.
- Financial services sector accelerating digital transformation hiring; Qode has existing vertical expertise.
What critics are saying
- LinkedIn API restrictions block access to 500M+ profiles; probability 70-90% within 3-6 months.
- EU AI Act enforcement fines €20M+ for high-risk recruitment AI lacking certified bias audits.
- OpenAI's 2026 recruitment fine-tuning models enable enterprises to build in-house tools at 1/3 cost.
What makes qode.world unique
- AI-powered sourcing accesses 500M+ global profiles with precision ranking and automated outreach sequences.
- Tracy AI interviewer conducts structured, bias-free assessments in 30+ languages with integrity monitoring.
- Unified platform consolidates sourcing, ATS, interviews, and hiring decisions in single enterprise environment.
Help us improve and share your feedback! Did you find this helpful?
Benefits
Hybrid Work Options