EVOCS’s journey began with a mission to empower businesses with advisory
expertise, empowered with idealtechnologies to provide them with comprehensive
solutions to grow and prosper.
Founded by a team of passionate experts, EVOCS has grown into a trusted partner
to a growing number of leaders across their respective industries. Our roots in
employee-managed operations reflect our commitment to quality, consistency, and
client success.
If you enjoy working in a hyper-fast-growing company, are eager to be part of an
agile team, and want to be part of our success story, then let’s talk
? Role Overview
As a Senior Machine Learning Engineer, you will be the person we trust with the
training side of our AI work. You’ll decide what to build, how to build it, and
whether to build it at all. You will be responsible for the quality of the
models we ship: the data they learn from, the pipelines that produce them, and
the judgment calls that separate a useful model from an expensive one. You’ll be
mentoring engineers who’ve never watched a loss curve diverge and felt
something.
? What you will do
In this role, you will:
* Be the primary person responsible for the data piece of our AI initiatives.
This could be called the unglamorous stuff that decides whether the model
works, but this is your passion. You put the enthusiast in MLE.
* Build and maintain training and retraining pipelines in Azure AI Foundry.
We’re talking working on the model catalog, fine-tuning workflows,
deployment, drift monitoring, and closing the loop when production data
reveals the eval set was lying to you.
* Make the real model design calls because you know best which way to go: full
fine-tune vs. LoRA/QLoRA vs. DPO vs. “better prompting would save us three
weeks.” Know when not to train.
* Run hyperparameter work that isn’t a grid search copied from a 2021 Medium
post.
* Operate distributed training setups and know what breaks at scale. Pick your
poison: FSDP, DeepSpeed, Megatron