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maawaabro it solutions pvt ltd

Job Description &ndash; MLOps Engineer (Triton + GPU + Production AI)Immediate joining. Employment Type: Full-time Project: OTRAS &ndash; Next-Gen AI-based Government Exam &amp; Recruitment PlatformMLOps Engineer (Triton + GPU + Production AI)Role: MLOps EngineerExperience: 5&ndash;10 YearsLocation: Andhra PradeshSalary: &#8377;1,00,000 &ndash; &#8377;1,50,000 per monthAbout the RoleWe are building OTRAS, India&rsquo;s largest next-gen AI-based examination platform serving 250M+ candidates per year.We need an experienced MLOps Engineer who can productionize large AI/ML models (OMR, OCR, face recognition, fraud detection) using NVIDIA Triton, ONNX, TensorRT, and GPU pipelines.You will be responsible for deploying, scaling, monitoring, and optimizing AI workloads in a distributed Kubernetes environment.Key ResponsibilitiesModel Deployment &amp; Serving<ul><li>Deploy PyTorch/TensorFlow models on NVIDIA Triton Inference Server</li><li>Convert models to ONNX and optimize using TensorRT</li><li>Implement batching, dynamic batching, and GPU scheduling</li><li>Build scalable inference APIs (HTTP/gRPC)</li></ul>Infrastructure &amp; Automation<ul><li>Deploy and manage AI workloads on Kubernetes (GPU node pools)</li><li>Automate model CI/CD using GitHub Actions + ArgoCD</li><li>Setup model versioning, canary deployments, and rollback workflows</li><li>Manage the Triton model repository &amp; configs</li></ul>Monitoring &amp; Optimization<ul><li>Implement inference metrics (latency, TPS, GPU utilization)</li><li>Setup monitoring using Prometheus + Grafana</li><li>Optimize inference speed and memory with TensorRT</li><li>Run load tests for 10M+ inference events</li></ul>Data &amp; Pipelines<ul><li>Build ETL workflows for AI datasets</li><li>Automate dataset cleaning, preprocessing</li><li>Integrate with ClickHouse / S3 storage</li><li>Create pipelines for:</li><li>&#10004; OMR data ingestion&#10004; ID card OCR&#10004; Face detection &amp; liveness scoringSecurity &amp; Reliability</li><li>Ensure secure model access (token-based + mTLS)</li><li>Handle production failures, logs, distributed tracing</li><li>Implement AI/ML model audit trails</li></ul>Required Skills<ul><li>4+ years experience in MLOps or ML Engineering</li><li>Strong hands-on with:</li><li>&#10004; NVIDIA Triton Inference Server&#10004; ONNX / ONNX Runtime&#10004; TensorRT&#10004; PyTorch or TensorFlow&#10004; CUDA (basic understanding)</li><li>Strong in Docker &amp; Kubernetes</li></ul><ul><li>Experience with CI/CD</li><li>Knowledge of GPU scaling, batching, and memory optimization</li><li>Experience working with large-scale ML systemsBonus Skills</li></ul><ul><li>Experience with Airflow or Kubeflow</li><li>Experience with model quantization</li><li>Familiarity with computer vision</li><li>Knowledge of message queues (Kafka)</li><li>Worked on AI for ID verification / OMR / OCR</li></ul>Why Join OTRAS?<ul><li>Build India&rsquo;s first AI-powered exam infrastructure</li><li>Work with Go microservices + Kubernetes + Triton</li><li>Massive impact (250M candidates)</li><li>Fast-moving, high-performance engineering culture</li><li>High visibility role with strong growth</li></ul>Job Types: Full-time, Permanent, VolunteerPay: &#8377;180,000.00 - &#8377;1,080,070.03 per yearBenefits:<ul><li>Health insurance</li><li>Life insurance</li><li>Provident Fund</li></ul>Ability to commute/relocate:<ul><li>Guntur, Andhra Pradesh: Reliably commute or planning to relocate before starting work (Required)</li></ul>Work Location: In person

MLOps Engineer (Triton + GPU + Production AI)

Job Description &ndash; Go EngineerImmediate joining. Employment Type: Full-time Project: OTRAS &ndash; Next-Gen AI-based Government Exam &amp; Recruitment PlatformSenior Go Backend EngineerRole: Senior Golang Backend EngineerExperience: 5&ndash;10 YearsSalary: &#8377;1,50,000 &ndash; &#8377;2,50,000 per monthAbout the RoleJoin the core engineering team of OTRAS, a massive-scale exam automation platform. You will build highly scalable Go + gRPC microservices for millions of users.Responsibilities<ul><li>Build backend services using Go, gRPC, REST</li><li>Implement proto services &amp; handlers</li><li>Integrate Go services with PostgreSQL and Kafka</li><li>Write clean, maintainable Go code with unit tests</li><li>Optimize performance (latency, memory, RPS)</li><li>Implement caching, rate-limiters, and pagination</li><li>Assist in designing microservice architecture</li><li>Debug production issues with logs &amp; traces</li><li>Collaborate with frontend, DevOps, and AI teams</li></ul>Required Skills<ul><li>Strong Go programming</li><li>Hands-on experience with gRPC / protobuf</li><li>Good with PostgreSQL (queries, joins, indexing)</li><li>Experience with Redis</li><li>Comfortable with Kafka or message queues</li><li>Experience building scalable systems</li><li>Familiarity with Docker, Kubernetes</li></ul>Bonus Points<ul><li>Experience with AI APIs</li><li>Experience with high-performance systems</li><li>Knowledge of clean architecture</li></ul>Job Types: Full-time, Permanent, VolunteerPay: &#8377;180,000.00 - &#8377;1,080,070.03 per yearBenefits:<ul><li>Health insurance</li><li>Life insurance</li><li>Provident Fund</li></ul>Ability to commute/relocate:<ul><li>Guntur, Andhra Pradesh: Reliably commute or planning to relocate before starting work (Required)</li></ul>Work Location: In person

GO Engineer

Join maawaabro it solutions pvt ltd and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

maawaabro it solutions pvt ltd

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MLOps Engineer (Triton + GPU + Production AI)

GO Engineer