GyanSys Inc.
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Bengaluru · On-site · 1-3 Yrs · 1 day ago
Information Technology Support Services · 1001 to 5000 Employees · Carmel, US
Founded in 2005, GyanSys is a leading global mid-tier systems integrator and solutions provider supporting enterprise customers worldwide. We specialize in advisory, implementations, managed services, and data analytics spanning SAP, Salesforce, Microsoft, and other prime enterprise platforms. Using a mature blended delivery model with over 2,000 consultants, we support over 250 enterprise customers across the Americas, Europe, and APAC. GyanSys has extensive experience with SAP S/4HANA, IBP, Ariba, SuccessFactors, CX (formerly C/4HANA), and PLM solutions, offering pooled hour, 24x7 global support services employing SAP AMS and PCoE certified delivery centers in North America, India, and the Philippines. Gartner has recognized GyanSys as an S/4HANA reseller and services partner for North America in its “Competitive Landscape: SAP S/4HANA Service Providers” report. Core SAP expertise is augmented by our differentiated Salesforce services for the enterprise, leveraging significant experience in the Sales, Service, Community, Marketing, and Commerce clouds and their integration into complex multi-cloud environments. GyanSys is also a distinguished Microsoft Gold Partner, providing enterprise application development, Azure DevOps, cloud migration, cloud analytics, and Microsoft 365 services.
Hiring: Engineering
What employees say
+ GyanSys provides a collaborative work environment with ample opportunities to learn and grow. I had the opportunity to work on strategic enterprise accounts, interact with senior l
− The workload can be challenging during peak periods, but it contributes to strong professional development.
More reviews on the company profile.
Interview experience · Intern
First they conducted a online test, followed by a Group Discussion. After that we had a technical interview. Those who qualify technical interview they got the chance for HR interaction. Then final screening/ shorting.
Difficult difficulty · India · 82 reports
More interview insightsJob description
Overview
Build and operate the MLOps pipelines that take AI/ML and GenAI models from experimentation to production — packaging, CI/CD delivery, model serving, and monitoring. A hands-on engineering role bridging data science and enterprise deployment.
Responsibilities
- Build end-to-end pipelines — data ingestion, training, evaluation, packaging, versioning, and deployment.
- Develop and maintain Jenkins CI/CD for Dev QA Production promotion with multi-stage gates.
- Deploy model-serving APIs on AKS using FastAPI and vLLM; apply ONNX/TensorRT optimizations.
- Set up observability — drift detection (Evidently AI), Prometheus/Grafana, Azure Monitor.
- Apply DevSecOps practices — Key Vault, Managed Identity, SonarQube, Trivy/Snyk.
- Application Development – REST, WebSocket Frameworks using FastAPI
Qualifications
- 4+ years in ML/AI engineering or DevOps with hands-on production MLOps pipeline experience.
- CI/CD tooling: CI tooling (UV, Ruff, Pyrefly), Jenkins (strong), Azure DevOps, GitOps concepts; Git and pre-commit workflows.
- Databricks ML pipelines (Delta Lake, Workflows, MLflow), Asset Bundles and PySpark for data processing.
- Model serving: FastAPI, Docker, AKS; exposure to vLLM and ONNX/TensorRT optimization.
- Python (strong — FastAPI, Pydantic, async), Bash, YAML/SQL scripting.
- Cloud knowledge – Azure/AWS/GCP Storage, AI related services.
- Databases and storage: PostgreSQL, Redis, ADLS Gen2.
- Understanding of containerization, Helm, and infrastructure automation.
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Job application FAQ
Last updated 19 September 2026
- How do I apply for ML/AI Engineer at GyanSys Inc.?
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- Is ML/AI Engineer remote or on-site in Bengaluru, Karnataka?
- This listing is marked on_site with location Bengaluru, Karnataka. Confirm details on the job description before applying.
- What skills matter for this ML/AI Engineer role at GyanSys Inc.?
- This is a mid-level ML/AI Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.