We are seeking a highly skilled Senior Machine Learning Engineer to join our AI/ML Engineering GSI IT Team. In this role, you will tackle complex NLP, AI and machine learning challenges, driving forward our ML engineering capabilities. You will be responsible for deploying, implementing, and maintaining advanced machine learning models that enhance our technological solutions and improve decision-making processes.
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
[email protected].
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Masters degree in Computer Science, Engineering, Mathematics, with 5+ years of ML implementation experience or Ph.D. with 2+ years of hands-on ML Project experience.
Experience with Big Data: Strong proficiency with big data technologies such as Azure Databricks and Spark.
Leadership Experience: Previous experience leading a team of data scientists or engineers.
Strong proficiency in Python and relevant scripting languages, with experience in software development and scripting for Machine Learning
Expertise with ML libraries and frameworks (e.g., Pandas, Numpy, Scikit-Learn, TensorFlow, PyTorch, Databricks, MLFlow, dvc, dbt) and the ability to select the right tools for the use case.
Experience building inference endpoints (APIs) and managing compute architecture for efficient model inference and data handling.
Databricks / Spark, Azure Datalake Store, Azure AI Search, Azure ML, Dataiku
Skilled in cloud platforms (Azure, AWS) - CI/CD pipelines for ML, using tools such as Azure Pipelines, or similar
cloud deployment experience (Azure), containerization (Docker), vector search engines (Azure AI Search), knowledge graphs, ML publications, or competition participation.
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.