<br><br> Role: Engineer Machine Learning <br><br> Job Locations: IN-MH-Pune <br><br> Requisition ID: 2023-38495 <br><br> Category: Data Science & Analytics <br><br> Position Type: Regular <br><br> Full-Time: Workplace Flexibility <br><br> Option: In-Office few days a week and Work from Home <br><br> Job Business Unit: Corporate <br><br> Job Description Purpose <br>- Provide leaders and employees with information about the functions and requirements needed to perform the job. This must be read in conjunction with individual goals or competencies. This job description is used to evaluate the job and provide information for external interviews and internal postings. <br><br> Job Purpose <br>- Provides a general summary of the job. <br>- Understand the business problem, the data science solutions and operationalize it to deliver outcomes at level of scale/efficiency, integrate with other systems. <br><br> This role is mainly comprised of: Data acquisition with a focus on CI/CD (continuous integration/continuous deployment), Model orchestration & deployment, Governance and operational support. <br><br> Essential Functions: <br>- Lists major actions performed in the job. Describes what occurs and the reason the action is taken. Provides impact of each action by indicating percentage of time spent performing the functions. Regular and predictable attendance is a required function of this position. <br><br> Description % of Time Spent: <br>• Data Acquisition: Work with Data Engineering team to understand and help to develop build-as-per-need infrastructure for Data collection and ETL processes, automate steps in ETL & develop system to manage, deploy and maintain Data Engineering code. Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader. Work with data and analytics experts to strive for greater functionality in our data systems (including feature engineering) <br>• Model orchestration & deployment: Assist in the development of systems to manage, deploy and maintain ML code. Work closely with the Data Sciences team to: Develop infrastructure in order for Machine Learning models to be deployed, Take over newly developed models into production, Develop systems for integrating AI/ML components using orchestration services. Build CI-CD pipelines interconnecting Data services and ML services for the project with an aim to achieve MLOps. Assist in development and implementation of ML toolchains and data platforms to scale ML solutions in production. <br>• Governance and operational support: Enable the agility in data science delivery through automation across build, validation, deployment and monitoring of Data Science models. Monitor quality parameters for ML models in production. Shape and operate best practices for managing models in production. Contribute to solutions that accelerate the task of Production issue analysis by Data Scientists by enabling log viewing tracing and debugging of data science features in production. <br><br> Qualifications <br>- Describes the minimum education and experience, certifications, licenses, physical demands, working conditions and skill sets needed to perform the job. <br>- Provide prompt, courteous and excellent service at an acceptable cost to all customers; operate in an ethical manner in accordance with all applicable laws and regulations, the company's Corporate Code of <br>- Ethics, employee handbook, applicable compliance and operations policies and procedures, and other policies of the company. Possess a high degree of integrity and actively cooperate and interact with all entities of the Principal Financial Group. <br>- Bachelor’s Degree in Computer Science/Engineering, Informatics, or a related technical discipline <br>- 0-2 years of experience in below mentioned tools/technology <br>- Exposure to orchestration of machine learning services <br>- Exposure to building of CI/CD pipelines, data architecture and ML deployment <br>- Familiarity with machine learning frameworks (like TensorFlow, Keras, PyTorch, pyspark) and libraries (like scikit-learn) <br>- Exposure to data solutions and cloud technology like Azure/AWS: Redshift, RDS, S3, Glue, Athena, EMR, Spark, Hive, etc.) <br>- Knowledge of object-oriented/object function and scripting languages: Python, R, shell scripting, Java, C++, Scala, etc <br>- Exposure to Cloud computing platform (AWS preferred) <br><br> Reporting Relationships <br>This job reports to: Asst. Dir or Director - Machine Learning Engineer <br>Direct Reports: none <br><br> About Company: Principal Global Services is a Global In-house Center, dedicated to supporting Principal Financial Group achieve our common purpose of empowering and enabling our customers across the globe by protecting and advancing their financial well-being through retirement, insurance and asset management solutions. Since our inception in 2006, our continued focus has been to take our services to the next level of providing solutions, which has been further reinforced with stimulating results and a clear strategic direction. Over the last decade, we have assimilated the right mix of talent and competencies to build a center of excellence that delivers quality, innovation and strategic value. We offer right over best opportunities for a holistic growth, because we believe that engagement is directly proportional to the right opportunities, fostered by cultural pillars of empowerment and enablement. Principal Global Services has offices in Hyderabad (India), Manila (Philippines) and Pune (India). To find out more, visit us at www.principal.com
