Machine Learning Engineer

Insight Global is looking for a Senior Machine Learning Engineer to join the team with one of our largest HCM clients on a full-time basis. This team is responsible for developing AI solutions with high-visibility and high-impact products. The successful candidate will be responsible for the following:

- Lead the iterative development, validation, and deployment of AI/ML models
- Collaborate on end-to-end automation efforts required to bring models to production
- Work with structured and unstructured raw data to design and develop innovative predictive models, metrics, and dashboards to uncover actionable insights
- Visualize and report data findings creatively in a variety of visual formats that provide insights to the organization
- Build and maintain a strong engagement with key stakeholders to understand business needs and priorities.
- Contribute to the engineering process and culture

We may use artificial intelligence tools to assist with the screening, assessment, or selection of potential applicants for this position.

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.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

- 4+ years of hands-on experience in Machine Learning and Data Science, specializing in classification, clustering, time series analysis, encoder based transformer models, explainability and optimization
- Advanced familiarity with SQL and spark/pyspark
- 2+ years experience and knowledge in MLOps, in deploying, operationalizing, and maintaining and monitoring scalable AI/ML-solutions in production
- Advanced proficiency in Python and machine learning frameworks (e.g., PyTorch, TensorFlow, MLFlow, etc.) and libraries commonly used in NLP and Generative AI
- Advanced proficiency in data cleaning and data transformation
- Proven ability to debug, analyze, and profile existing code
- Excellent collaboration and communication skills
- Strong analytical and problem-solving abilities

- Experience with infrastructure design and deployment utilizing Azure, cloud offerings for the implementation of data pipelines (Azure SQL, Function/Logic Apps, Key Vault, Storage Accounts, Virtual Machines, Azure Monitor, Log Analytics)
- Experience with Databricks

Benefit packages for this role will start on the 1st 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.