Machine Learning Engineer

Insight Global is looking for a Machine Learning Engineer to support one of our largest clients. The candidate must have experience and fundamental knowledge in machine learning, experience in deploying models in Azure or AWS, and programming skills to develop and deliver novel solutions in an industry setting. They will be responsible for deploying 20 machine learning models.

* Partner with R&D scientists to develop and prototype rigorous machine learning solutions aligned to project needs

* Design and implement scalable data pipelines for processing high-complexity datasets such as high-throughput bioassays or large-scale agriculture datasets

* Partner with data scientists, data engineers, and production teams to deploy and maintain data products at scale

* Communicate and train research partners on models and products to facilitate data-driven decisions

* Communicate insights derived from complex data analysis into simple conclusions that empower leadership to drive action; communicate results in internal and external forums; and contribute to scientific articles as needed

* Steward data product life cycle and partner with other scientists to continuously improve underlying models and optimize data architecture

* Stay abreast of emerging technologies in big data, machine learning, and agriculture tech and advocate for their adoption where beneficial



We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.

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Educational Qualifications

M.S. or above in Applied Statistics, Artificial Intelligence, Biostatistics, Computer Science, Data Engineering, Data Science, Engineering, Machine Learning, Physics, Software Engineering, or related highly quantitative fields. Ph.D or additional years of experience preferred but not required.

Required Qualifications

* Strong expertise in R or Python programming languages and their application to data wrangling, machine learning (e.g., TensorFlow, PyTorch), and data visualization

* Experience and fundamental understanding of machine learning techniques (e.g., logistic regression, random forest, XGBoost, SVMs, K-means, neural networks)

* Solid understanding of variable selection; dimensionality reduction; model diagnostics; and model training, testing, and validation

* Experience deploying machine learning models in production (e.g., CI/CD pipeline development; containerization using tools such as docker, podman, or Kubernetes; Git)

* Experience designing a roadmap for machine learning deployments as this strategy and solution has not already been planned and this would remain this resources responsibility

Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.