Job Description **Salary for this position is between 155-165K depending on years of experience Responsibilities:  · Develop and maintain a data exploration and feature engineering pipeline to enable data readiness for modeling within a secure and compliant infrastructure.  · Implement and manage Databricks, JupyterHub, and other modern tools for exploratory data analysis, AI design, model development, and training.  · Integrate tools with the clients Bitbucket for version control and collaboration.  · Configure AWS S3 buckets for Feature Store, ensuring compliance with governments UNAX rules and separate security contexts for different teams.  · Establish and maintain a model development pipeline utilizing MLflow for experiment tracking and model registry.  · Create AWS Lambda functions and implement AWS Flow for efficient model artifact storage and metadata management.  · Integrate with AWS RDS for robust data management and retrieval.  · Configure SNS notifications for model promotion workflows. Support data science teams in adhering to Responsible AI Principles via the implementation of the Responsible AI Toolbox 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/ . Skills and Requirements · Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field and 7 years experience.  · Proven experience with cloud services, particularly AWS (S3, Lambda, RDS, SNS, etc.).  · Expertise in setting up and managing data science environments with tools such as Databricks, JupyterHub, MLflow, and Bitbucket.  · Strong proficiency in programming languages and tools such as SQL, Python, R, and Spark.  · Familiarity with machine learning frameworks and libraries.  · Deep understanding of data security and privacy, especially in compliance with government standards.  · Experience with CI/CD pipelines and infrastructure as code. · Certifications related to AWS or cloud architecture. Knowledge of Responsible AI practices and principles. null 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 employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to 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 oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to HR@insightglobal.com.