Ignatiuz
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Information Technology Support Services · 51 to 200 Employees · Exton, US
Ignatiuz is a forward-thinking technology solutions provider committed to driving digital transformation and empowering businesses across industries to thrive in the modern digital landscape. With a wide range of expertise, including AI & ML model development, cloud consulting, business intelligence, and robotic process automation, we deliver innovative and scalable solutions tailored to meet the unique needs of our clients. Our mission is to help organizations embrace cutting-edge technologies, optimize operations, and achieve sustainable growth. At Ignatiuz, we prioritize building long-term partnerships by focusing on excellence, collaboration, and delivering measurable results. Backed by a team of highly skilled professionals, we combine strategic vision with technical expertise to solve complex business challenges and propel our clients toward success. Whether it’s transforming existing systems or creating entirely new digital experiences, we are dedicated to helping businesses stay competitive and drive future growth.
Hiring: Engineering
What employees say
+ Good teammates only for personal level. Professionally everyone are frauds
− Owners are family members. They do fraud with clients. Everything is fake, owner say fake it, if you can't make it. Management is liar.
More reviews on the company profile.
Interview experience · Project Manager
First round is an HR round followed by Technical Round. Basic question has been asked based on the profile you have applied for. However, the interview isn't difficult to crack.
Easy difficulty · Indore · 4 reports
More interview insightsJob description
Overview
We are looking for an MLOps Developer to own the model lifecycle, deployment pipelines, and operational health of this AI system.
Responsibilities
- Optimize and deploy PyTorch models (detection + video classification) to TensorRT and ONNX for real-time GPU inference across both server and edge hardware.
- Build and maintain reproducible model training and evaluation pipelines with experiment tracking and dataset versioning
- Design CI/CD workflows for model validation, packaging, and rollout to remotely deployed devices.
- Monitor production inference pipelines — GPU utilization, latency, frame throughput, and model performance drift
- Manage cloud storage (AWS S3) for model artifacts, video clips, and deployment assets
- Containerize services (Docker) and investigate Kubernetes-based orchestration for multi-site deployments for edge hardware environments
- Collaborate with ML and CV engineers to operationalize new model versions and document deployment runbooks
Qualifications
- 2–4 years of MLOps or ML engineering experience in production.
- Strong Python; hands-on with PyTorch, ONNX, and TensorRT
- Familiarity with experiment tracking (MLflow, ClearML, W&B, or similar)
- AWS or Azure cloud experience with exposure to ML-specific services such as:
- AWS: SageMaker (training jobs, model registry, endpoints), ECR, S3, Lambda, CloudWatch
- Azure: Azure Machine Learning (pipelines, model registry, compute clusters), Azure Container Registry, Blob Storage, Azure Monitor
Nice to have
- NVIDIA Jetson edge device deployment experience (JetPack/aarch64)
- Real-time video processing (OpenCV, GStreamer, RTSP)
- Dataset versioning tools (DVC or similar)
- WebRTC or WebSocket-based streaming experience
- Exposure to Docker / Kubernetes for model serving at scale
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Job application FAQ
Last updated 19 September 2026
- How do I apply for MLOps Engineer at Ignatiuz?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Ignatiuz may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this MLOps Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is MLOps Engineer remote or on-site in Indore, Madhya Pradesh?
- This listing is marked on_site with location Indore, Madhya Pradesh. Confirm details on the job description before applying.
- What skills matter for this MLOps Engineer role at Ignatiuz?
- This is a mid-level MLOps Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.