Job DescriptionAs an MLOps Engineer, you will be responsible for bridging the gap between data science and IT, ensuring that machine learning models are deployed effectively and efficiently. You will collaborate with cross-functional teams to design, implement, and maintain scalable machine learning pipelines and infrastructure.Responsibilities"· Design, implement, and maintain end-to-end machine learning pipelines for model training, validation, and deployment.· Collaborate with data scientists, software engineers, and DevOps engineers to integrate machine learning models into production systems.· Develop automation tools and frameworks to streamline the machine learning workflow, including data preprocessing, feature engineering, model training, and evaluation.· Optimize model performance and scalability by leveraging cloud computing resources and distributed computing techniques.· Implement monitoring and logging solutions to track model performance, data quality, and system health in production.· Manage model versioning, experimentation, and reproducibility using version control systems and experiment tracking tools.· Stay up-to-date with the latest trends and technologies in machine learning, cloud computing, and software engineering, and incorporate them into the MLOps workflow.· Provide technical guidance and mentorship to junior team members on best practices for MLOps.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- Bachelor's degree or higher in computer science, engineering, mathematics, or related field.- Strong programming skills: Python, Java, or Scala- Proficiency in automation tools like JIRA, Ansible, Jenkins, Docker compose, Artifactory, etc.- Experience with version control systems such as Git and collaboration tools like GitLab or GitHub- 3+ years of US based enterprise level professional experience in:o Machine Learning Engineeringo Data Scienceo CICD Pipelineo Jenkinso Gito Pythono Azure - Certification in cloud computing (e.g., AWS Certified Machine Learning Specialty, Google Professional Machine Learning Engineer). nullWe 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.
