An MLOps or LLMOps engineer keeps AI running smoothly after launch. They automate how models are trained, tested and deployed, track every version, and watch for problems such as falling accuracy, slow responses or rising costs.
Hire an MLOps engineer from Ekansha Technologies when your AI works in a notebook but not reliably in production, or when cloud bills for AI are growing faster than usage.
Automated pipelines that test and release models and prompts safely.
Dashboards and alerts for accuracy drift, errors, response time and cost.
Track every model, dataset and prompt version so you can roll back quickly.
Fast, scalable APIs for ML models and LLMs, with autoscaling on GPUs.
Caching, routing and right-sized hardware to keep AI spending in check.
Trace each LLM call and agent step to find slow or wrong answers.
We match you with developers whose experience fits your stack. Tell us the tools you already use and we will find the right fit.
Pick the model that fits your work and budget. You can switch between models as your needs change. Prices depend on the role, experience and model, so ask us for a quote.
A developer who works only on your project, about 160 hours a month (8 hours a day, 5 days a week).
A developer who works on your project for about 80 hours a month (4 hours a day, 5 days a week).
Pay only for the hours you use. Buy a block of hours and use them when you need them.
Tell us the role, skills, hiring model and start date. A short call helps us understand the work.
We send you profiles of developers from our team who match your needs.
Talk to the developers, ask technical questions and give a small test task if you like.
Your developer starts work. Add people, change hours or switch models whenever you need.
Can't find your answer? Read all our FAQs or ask us on WhatsApp.
MLOps covers the full life cycle of trained models: data, training, deployment and monitoring. LLMOps adds work specific to large language models, such as prompt versioning, tracing agent steps and controlling token costs. Our engineers cover both.
Yes. Our MLOps engineers fit into your current cloud setup and CI/CD tools and work alongside your DevOps team.
It depends on the role, the experience level and the hiring model you choose. Send us your requirements and we will reply with a clear monthly or hourly quote, with no hidden costs.
Yes. We share profiles first, and you can interview the developers and give them a small test task before you decide.
You do. All code, models, prompts and documents made for your project belong to you. We sign an NDA before you share project details, and an IP assignment if you need one.
Share the role, the skills you need, your preferred hiring model and when you want to start. We will reply with matching developer profiles and a quote.
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