Machine Learning Engineer

EVOCS OVERVIEW

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 Machine Learning Engineer, you will play a key role in the design, implementation, and operation of a large-scale, enterprise AI platform and its applications. You will work closely with a senior Technical Product Manager and other senior engineers, contributing hands-on ML engineering expertise to build reliable, scalable, and production-ready AI systems. This role is deeply technical and delivery-focused, with direct impact on real-world systems used in critical business contexts.

🧩 What you will do

In this role, you will:

• Design, build, and maintain machine learning models used in production environments.
• Implement end-to-end ML pipelines, including data ingestion, feature processing, training, evaluation, and deployment.
• Develop and maintain robust Python-based ML services and components.
• Collaborate closely with the Technical Product Manager to translate technical requirements into working ML solutions.
• Work with other engineers to define and implement scalable AI architectures.
• Deploy, monitor, and operate ML models in live environments, ensuring performance, reliability, and traceability.
• Contribute to MLOps practices, including CI/CD for ML, model versioning, monitoring, and automated retraining.
• Troubleshoot and resolve issues related to data quality, model performance, and system behavior.
• Produce clear technical documentation covering ML pipelines, model behavior, and operational processes.
• Participate in technical reviews and architecture discussions with senior stakeholders.

🧠 What you will bring

The top candidate will have the following skills:

• 5+ years of hands-on experience as a Machine Learning Engineer or in a similar applied ML role.
• Strong proficiency in Python for machine learning and data-intensive systems.
• Solid experience building, deploying, and operating ML models in production.
• Practical understanding of MLOps concepts and tools (deployment, monitoring, retraining, automation).
• Experience working with structured and unstructured data at scale.
• Ability to reason about system-level trade-offs, not just model performance.
• Strong problem-solving skills and attention to technical detail.
• Fluent in English (written and spoken).

Ideally you have…

• Experience working on enterprise-grade or mission-critical AI systems.
• Exposure to cloud-based ML platforms and distributed systems.
• Experience collaborating with product managers and architects on complex systems.
• Comfort working in fast-paced, high-expectation technical environments.

👥 Our Values

We are privileged to serve our loyal customer base in our mission to build lasting relationships with our clients based on trust and mutual success. We strive to deliver exceptional quality and consistency through a white-glove approach. By empowering businesses with tailored solutions and insights, we help them achieve their goals and navigate the ever-evolving tech landscape.

The values we live by:

• Customer-centric Solutions
• Innovation & Excellence
• Integrity & Transparency
• Data-driven Decision Making