> Markdown version of [/jobs/ext/2843124-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/2843124-machine-learning-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Machine Learning Engineer

- **Company:** Mai Placement
- **Location:** Newark, NJ, United States
- **Salary:** $150,000.0 - $200,000.0
- **Contract:** Permanent contract
- **Skills:** Python (Programming Language), Machine Learning, Large Language Models, Deep Learning, Xgboost, Machine Learning Operations, Data Pipelines
- **Published:** September 11, 2026
- **Apply:** https://www.thejobnetwork.com/job/a0b80318-bcfa-4fb3-a7f3-f89adbe6c8ef/machine-learning-engineer-forecasting-production-systems

## About the Role

* Proven experience building time series, temporal, forecasting, or other time-dependent predictive models.
 * Experience deploying machine learning models into production.
 * Strong Python and machine learning/statistical modeling skills.
 * Experience working with large transactional or operational datasets.
 * Experience building or supporting production ML data pipelines.
 * Ability to connect model performance to real business outcomes.

Especially Relevant Experience

Experience predicting outcomes such as:

 * Demand
 * Sales
 * Inventory requirements
 * Purchasing needs
 * Capacity
 * Production volume
 * Customer behavior over time
 * Other future operational or business outcomes

Experience with methods such as gradient boosting, regression, tree-based models, classical statistical forecasting, probabilistic forecasting, or deep-learning approaches to temporal data is relevant.

The important requirement is not a specific algorithm. It is evidence that you have successfully built predictive models where time-dependent data was central to the problem.

## Description

We are looking for a Machine Learning Engineer who has built predictive models around time-dependent data and deployed them into real production environments.

The primary focus is forecasting and predictive analytics used to improve decisions around demand, sales, inventory, purchasing, and operational planning.

This is not an LLM or generative AI role. We are specifically looking for experience building predictive models where time, historical patterns, seasonality, trends, and future outcomes matter.

What You Will Own

 * Build and improve production-grade forecasting and predictive models using time-dependent data.
 * Develop SKU-level, demand, sales, inventory, or other operational forecasting systems.
 * Own models from development through deployment, monitoring, retraining, and ongoing improvement.
 * Build and optimize data pipelines supporting predictive ML systems.
 * Measure model performance and continuously improve forecast accuracy.
 * Partner with business and operational teams to turn model outputs into better decisions.

What Success Looks Like

 * Forecasting accuracy improves measurably over time.
 * Predictive outputs are trusted and actively used by business teams.
 * Models perform reliably in production at meaningful data scale.
 * Forecasts improve purchasing, inventory, capacity, or operational decision-making.
 * Models can be iterated and deployed quickly as business conditions change.


## Related Videos

- [The pitfalls of Deep Learning - When Neural Networks are not the solution](https://www.wearedevelopers.com/videos/14-the-pitfalls-of-deep-learning-when-neural-networks-are-not-the-solution)
- [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions)
- [Shoot for the moon - machine learning for automated online ad detection](https://www.wearedevelopers.com/videos/502-shoot-for-the-moon-machine-learning-for-automated-online-ad-detection)
- [DevOps for Machine Learning](https://www.wearedevelopers.com/videos/179-devops-for-machine-learning)
- [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning)
- [Effective Machine Learning - Managing Complexity with MLOps](https://www.wearedevelopers.com/videos/185-effective-machine-learning-managing-complexity-with-mlops)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production)
- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)
- [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)