Design, deploy, and maintain scalable machine learning systems on GCP. Build training and inference pipelines, automate CI/CD and model deployment with Vertex AI, manage model versioning and rollouts, monitor drift and performance, and support production troubleshooting. Collaborate with data scientists, engineers, and stakeholders to operationalize models, improve platform reliability, and document production-ready workflows.
Job Summary
We are looking for an experienced Machine Learning Engineer / MLOps Engineer to design, deploy, and maintain scalable machine learning solutions on Google Cloud Platform (GCP). The ideal candidate will have strong expertise in production ML systems, CI/CD automation, Vertex AI, and model lifecycle management while collaborating closely with cross-functional teams to operationalize machine learning models.
Key Responsibilities:
- Design, build, and maintain training and inference pipelines for storm outage prediction workflows.
- Implement CI/CD, orchestration, and automation for machine learning workflows using Vertex AI and related GCP services.
- Deploy machine learning models into production environments and manage model lifecycle processes, including versioning and rollout support.
- Set up and maintain baseline monitoring for model drift, performance, reliability, and alerting.
- Create scalable, production-ready ML workflows and supporting technical documentation.
- Collaborate with data scientists, engineers, and project stakeholders to operationalize models and align deployment architecture with project needs.
- Support troubleshooting, performance tuning, and continuous improvement of ML platform components.
- Contribute to engineering best practices across code quality, release processes, and environment stability.
Required Qualifications:
- 5–10 years of experience in machine learning engineering, MLOps, or related production ML engineering roles.
- Strong proficiency in Python and experience developing scalable data and ML workflows.
- Hands-on experience with Google Cloud Platform, including Vertex AI, BigQuery, Cloud Storage, Cloud Run, Cloud Functions, or comparable services.
- Experience with GitHub Actions or similar CI/CD tooling.
- Demonstrated experience building CI/CD pipelines and automating ML model deployment and orchestration.
- Experience with model monitoring, observability, and production support for machine learning systems.
- Strong understanding of software engineering best practices, including version control, testing, and documentation.
- Ability to work effectively across distributed teams and communicate clearly with technical and non-technical stakeholders.
Preferred Qualifications:
- Experience supporting forecasting, outage prediction, or other data-intensive operational use cases.
- Familiarity with utility, energy, weather, or geospatial data domains.
- Exposure to model registry, retraining automation, and ML lifecycle governance practices.
- Prior experience working in offshore or globally distributed delivery models.
Similar Jobs
Aerospace • Artificial Intelligence • Cloud • Machine Learning • Software • Cybersecurity • Defense
Leads multiple aerospace datalink product development teams in Bangalore, overseeing avionics system and software design, program execution, budgets, quality, delivery, and customer support. Drives Agile transformation, cost and cycle-time reduction, digital engineering initiatives, innovation, common avionics products, strategic planning, talent development, and performance culture. Requires deep avionics expertise, aerospace software development experience, knowledge of DO-178B/C and ARP4754A, and substantial people and technical leadership.
Top Skills:
AgileAIArp4754AAutomationAvionicsDigital ThreadDigital TwinHoneywell Operating SystemLean Product DevelopmentModel-Based Systems Engineering (Mbse)Rtca Do-178B/C
Fintech • Financial Services
Leads complex commercial loan servicing activities, including researching inquiries, interpreting loan documents, reconciling advances and payments, processing letters of credit, and supporting loan trading and assignments. Provides training, mentorship, work direction, and subject-matter expertise while resolving cross-functional customer issues. Supports process initiatives, operational controls, risk mitigation, compliance requirements, and accurate, timely business outcomes.
Top Skills:
AlteryxPower BITableau
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Leads a team responsible for designing, building, and maintaining scalable data pipelines, architectures, warehouses, lakes, and streaming platforms. Oversees end-to-end analytics data product delivery, data security, governance, quality, optimization, and production support. Partners with business and engineering stakeholders to enable BI, advanced analytics, and machine learning. Mentors data engineers and drives technical standards and continuous improvement.
Top Skills:
Apache AirflowApache KafkaSparkAws RedshiftAzureCi/CdDatabricksEltETLGitJavaLinuxPythonScalaShell ScriptingSnowflakeSQL
What you need to know about the Hyderabad Tech Scene
Because of its proximity to leading research institutions and a government committed to the city's growth, Hyderabad's tech scene is booming. With plans to establish India's first "AI city," the city is on track to become one of the world's most anticipated tech hubs, with companies like TransUnion, Schrödinger and Freshworks, among others, already calling the city home.
