Auriga IT
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Information Technology Support Services · 201 to 500 Employees · Jaipur, India
Who We Are: Founded in 2010, Auriga began when a few friends from IIT Roorkee realised they weren't ready to stop working together. We enjoyed the curiosity, collaboration, freedom and the simple fact that hard problems were more fun when you had the right people around you. So we kept building together. There was no funding, no business plan and very little experience to fall back on. What we did have was curiosity, trust, the hunger to learn and the confidence that we could figure things out. That spirit still defines Auriga today. What We Do: Over the last 16 years, Auriga has grown into a technology company building AI, Data & Analytics, ERP and Digital Products & Software. Our teams work on everything from digital products for ambitious startups to enterprise platforms that thousands of people depend on every day and public infrastructure operating at national scale. We have worked with organisations including WhatsApp, YES Bank, NHAI, Meesho, UltraTech Cement, ICICI Prudential, Pine Labs, Zomato, Ola and Practo across Financial Services, Manufacturing, Supply Chain, Infrastructure, Healthcare, Government and Technology. Our work spans Artificial Intelligence, Data & Analytics, Digital Products & Software, ERP Solutions, User Experience & Design, and Cloud & DevOps. We Learn by Building: Learning has always been part of how Auriga works. In our early years, a client would ask us to work with a technology we had never used before. Our response was often simple: let's figure it out. That mindset helped us grow from websites and e-commerce platforms to mobile applications, enterprise systems, AI and data platforms. We have also built products of our own—and learned some hard lessons along the way. Our early products didn't always scale the way we hoped. But they taught us something important: great engineering alone doesn't make a great product. You also need to understand the problem and the industry deeply. That learning eventually led to products such as Cygnus Alpha, STITCH MES, InstaDigin, SAFIRA and Cirqlar. Life at Auriga: Auriga was built around people before it was built around scale. From the beginning, we wanted to create a place where friends could work together, learn together, challenge each other and genuinely enjoy the journey. Some of our earliest team members are still with us today. A few have become leaders and co-founders. We believe great work and a great workplace don't have to be opposites. Our culture is built around four simple values: Trust — We believe in transparency, honesty and trusting people to do the right thing. Happiness — We believe work should add to life, not take it away. Fun, friendships and shared experiences matter here. Human — We try to stay simple, caring, passionate and empathetic in how we work with each other. Excellence — We give our best shot, keep learning and care about getting the details right. We value freedom, but also ownership. We encourage people to explore, challenge ideas and learn beyond their role. We believe multidisciplinary teams create better solutions because different perspectives make us think differently. Auriga Today: Today, Auriga is a team of 275+ professionals working with 500+ clients across India, the US, Canada, the Middle East and Asia. We are headquartered in Jaipur, with a presence in Vancouver and Gurugram, and are ISO 9001 and ISO/IEC 27001 certified. But in many ways, the intent remains the same as it was in 2010: bring good people together, solve interesting problems, keep learning and build meaningful things. The next chapter? We don't know everything it will look like yet. But we'll figure it out together. We always have. Execution That Works.
Hiring: Engineering
What employees say
+ - Friendly and good org, helpful seniors
− - no cons it's an good organisation to start you carrer with
More reviews on the company profile.
Interview experience · Senior DevOps Engineer
Interview was very deep deving specially the last round you can't expect the depth of the interview it would be. You must be aware of what you are saying in interview otherwise your interview will be over.
Very_difficult difficulty · Jaipur, Rajasthan · 36 reports
More interview insightsJob description
Overview
We re seeking a hands-on GenAI & Computer Vision Engineer with 3-5 years of experience delivering production-grade AI solutions.
Responsibilities
- Fine-tune and evaluate LLMs (Hugging Face Transformers, Ollama, LLaMA) for specialized tasks
- Deploy high-throughput inference pipelines using vLLM or Triton Inference Server
- Design agent-based workflows with LangChain or LangGraph, integrating vector databases (Pinecone, Weaviate) for retrieval-augmented generation
- Build scalable inference APIs with FastAPI or Flask, managing batching, concurrency, and rate-limiting
- Develop and optimize CV models (YOLOv8, Mask R-CNN, ResNet, EfficientNet, ByteTrack) for detection, segmentation, classification, and tracking
- Implement real-time pipelines using NVIDIA DeepStream or OpenCV (cv2); optimize with TensorRT or ONNX Runtime for edge and cloud deployments
- Handle data challenges augmentation, domain adaptation, semi-supervised learning and mitigate model drift in production
- Containerize models and services with Docker; orchestrate with Kubernetes (KServe) or AWS SageMaker Pipelines
- Implement CI/CD for model/version management (MLflow, DVC), automated testing, and performance monitoring (Prometheus + Grafana)
- Manage scalability and cost by leveraging cloud autoscaling on AWS (EC2/EKS), GCP (Vertex AI), or Azure ML (AKS)
- Define SLAs for latency, accuracy, and throughput alongside product and DevOps teams
- Evangelize best practices in prompt engineering, model governance, data privacy, and interpretability
- Mentor junior engineers on reproducible research, code reviews, and end-to-end AI delivery
Qualifications
- LLM Frameworks & Tooling:
- Agent & Retrieval Tools:
- Inference Serving:
- Computer Vision Frameworks & Libraries:
- Model Optimization:
- MLOps & Versioning:
- Monitoring & Observability:
- Cloud Platforms:
- Programming Languages:
- Bachelor s or Master s in Computer Science, Electrical Engineering, AI/ML, or a related field
- 3-5 years of professional experience shipping both generative and vision-based AI models in production
- Strong problem-solving mindset; ability to debug issues like LLM drift, vector index staleness, and model degradation
- Excellent verbal and written communication skills
- LLM Hallucination & Safety: Implement grounding, filtering, and classifier layers to reduce false or unsafe outputs
- Vector DB Scaling: Maintain low-latency, high-throughput similarity search as embeddings grow to millions
- Inference Latency: Balance batch sizing and concurrency to meet real-time SLAs on cloud and edge hardware
- Concept & Data Drift: Automate drift detection and retraining triggers in vision and language pipelines
- Multi-Modal Coordination: Seamlessly orchestrate data flow between vision models and LLM agents in complex workflows
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Job application FAQ
Last updated 23 October 2026
- How do I apply for ML/AI Engineer at Auriga IT?
- 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. Auriga IT may attach structured assessments to interview rounds after you apply.
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- 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 ML/AI Engineer remote or on-site in Jaipur, Rajasthan?
- This listing is marked on_site with location Jaipur, Rajasthan. Confirm details on the job description before applying.
- What skills matter for this ML/AI Engineer role at Auriga IT?
- 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.