Machine Learning Engineer

Job description

Machine Learning EngineerRemote - United StatesJR012396
**HONESTY, RELIABILITY, COLLABORATION, CURIOSITY, PASSION**
At Ensono, we’re transforming into a **software-first Managed Services Provider** , where AI/ML and automation move us from reactive firefighting to **predictive, zero-touch operations** .

Our **Envision Operating System** is the platform that makes this shift possible, bringing together data, intelligence, and automation across mainframe, distributed, and cloud environments.
As a **Machine Learning Engineer (ML Engineer)** , you’ll be the **builder who takes models from notebooks to production systems** .

You’ll work side-by-side with Data Scientists to translate their predictive insights into scalable, high-performance solutions that can run reliably at enterprise scale.
This is a role for **makers** —people who thrive at the intersection of code, models, and operations.

You’ll design APIs, deploy services, and ensure our AI capabilities integrate seamlessly with systems like **ServiceNow** , Snowflake, and Envision.

Your work ensures that **incident predictions, anomaly detections, and optimization recommendations** don’t just exist in theory, they power real-time operations, reduce downtime, and drive measurable business outcomes for our clients.
If you’re the kind of engineer who loves making AI _actually work in production_ and want to be part of the team that’s **rewiring managed services with intelligent automation** , this role is for you.
**What You Will Do:**
+ **Model Deployment** – Productionize machine learning models built by Data Scientists, ensuring they run reliably, securely, and at scale.
+ **API & Service Development** – Design APIs and services that expose model predictions to EnvisionOS, ServiceNow, and other enterprise systems.
+ **Performance Optimization** – Tune models for latency, throughput, and cost efficiency in real-time environments.
+ **Feature Pipeline Integration** – Collaborate with Data Engineers to ensure robust feature pipelines feed models consistently and with minimal drift.
+ **Automation & Scaling** – Use containers, orchestration, and CI/CD practices to automate deployment and monitoring of models.
+ **Cross-functional Collaboration** – Work with Ops, Data Science, and MLOps to ensure models deliver actionable, explainable outcomes that drive trust and adoption.
**We want all new Associates to succeed in their roles at Ensono.

That’s why we’ve outlined the job requirements below.

To be considered for this role, it’s important that you meet all Required Qualifications.

If you do not meet all of the Preferred Qualifications, we still encourage you to apply.**   
**What You Will Need:**
+ Strong programming skills in **Python** (must-have) plus C, **C++, Java, Javascript** for performance-critical applications.
+ Experience with **ML frameworks** such as TensorFlow, PyTorch, or Scikit-learn.
+ Hands-on experience with **Docker, Kubernetes, or other container orchestration** tools.
+ Familiarity with **Snowflake** and data engineering workflows for integrating feature pipelines.
+ Experience deploying models in production and exposing them through **REST APIs, Flask, or Streamlit** .
+ Knowledge of SnowFlake is beneficial
+ Strong understanding of **model optimization, hyperparameter tuning, and inference performance** .
+ Experience working with **ServiceNow or IT operations datasets** is highly desirable.
**Mindset & Values**
+ **Get Stuff Done** – You take pride in moving models out of slides and into production.
+ **Builder at Heart** – You see APIs, services, and pipelines as products that should be reliable, elegant, and scalable.
+ **Impact-Oriented** – You measure success by **uptime improvements, cost savings, and real-world adoption** of AI-driven workflows.
+ **Collaborative Engineer** – You bridge the gap between Data Scientists and Ops teams, speaking both “ML” and “production.”
+ **Continuous Improver** – Always looking for ways to make models faster, cheaper, and more accurate.
**Success Looks Like**
+ Models running in **production pipelines** , integrated with ServiceNow and EnvisionOS.
+ Predictions that **Ops teams trust and act on** , reducing downtime and improving MTTR.
+ Automated deployment workflows that keep models fresh, monitored, and reliable.
+ AI capabilities that scale across **mainframe, distributed, and cloud infrastructure** seamlessly.
**Why Ensono?**
Ensono is a place where we unleash Associates to Do Great Things – for our clients and for your career.

This could mean achieving a professional goal, collaborating with your team on an innovative idea, learning a new skill, reaching a wellness milestone, or engaging in your community through volunteer programs.

Whatever it means to you, we want Ensono to be the place where you can do great things.
We value flexibility and work-life balance.

Positions that are not required to be onsite to support a client may offer the ability to work remotely or hybrid at an Ensono office location.
+ Unlimited Paid Day Off (PDO) Plan
+ Two robust health plan options through Blue Cross Blue Shield
+ 401(k) with a generous company match
+ Eligibility for dental, vision, short and long-term disability, life and AD&D coverage, and flexible spending accounts
+ Depending on location, ability to take advantage of fitness centers
+ Wellness program
+ Flexible work schedule
As of the date of this posting, a good faith estimate of the current pay scale for this role is$80,000 to $148,000annually based on a full-time schedule.

Please note that placement in the range may vary based on numerous factors including but not limited to skills, experience, internal equity, and business needs.

In addition to base salary, other compensation programs, depending on eligibility, include an annual bonus plan based on company and individual performance, and an equity grant under our Associate Equity Appreciation Program.
Ensono is an Equal Opportunity/Affirmative Action employer.

We are committed to providing equal employment to our Associates and building a diverse and inclusive workforce.

All qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or other legally protected basis, in accordance with applicable law.
Pay transparency nondiscrimination statement/posting OFCCP’s pay transparency policy can be found on OFCCP’s website.
If you need accommodation at any point during the application or interview process, please let your recruiter know or email USTalentAcquisition@ensono.com .
JR012396

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