MLOPS Engineer

2 weeks ago

Manila, National Capital Region, Philippines UBX Full time ₱2,000,000 - ₱2,500,000 per year

Overview

The role will entail managing a team of data engineers responsible for implementing machine learning

models and creating highly resilient data pipelines. It will also entail leading various projects including migration activities and POCs.

Job Description


• Manage big data initiatives for the Data Science and AI Group while working closely with the

technology team, vendors, and consultants


• Coordinate with business and technology stakeholders to ensure that requirements are

implemented as expected


• Facilitate implementation of analytical tools


• Recommend and maintain the data model that will support business intelligence, advanced

analytics, and campaign management initiatives


• Implement enhancements in the existing MLOps pipeline


• Establish data quality checks to identify integrity issues and report findings to technology

management for resolutions


• Establish and implement data governance guidelines to ensure delivery of high quality and secure

data to meet regulatory requirements and promote efficiency and revenue growth


• Establish a catalog of commonly used data fields to aid data users in exploring the bank's data,

improve the understanding of data across the bank, and promote consistency of KPI definition


• Conduct best practice research to continuously improve current data management and analytics

processes and ensure data management and analytics tools/processes are at par with global

standards


• Conduct POC on new solutions

Qualifications


• Soft skills:

  1. Communication

  2. Establishes a wide network of contacts across the organization to solicit information

  3. Is proactive and reaches out to gather key information

  4. Is comfortable in communicating with various stakeholders, both from business and technology

  5. Analytical ability

o Looks for the most appropriate way to come to a decision, involves the right

stakeholders in the decision, and consults widely

o Can look at the big picture to see how components are interrelated and plan activities

accordingly

  1. Leadership

o Engages peers and more junior members of the team, offers ideas and advice on how

to do better

o Actively coaches and mentors team members and helps them raise their performance

o Develops coaching and mentoring strategies

  1. Stakeholder Management

o Pre-empts conflict before it arises

o Communicates well with stakeholders to surface issues and resolve early

o Acts as a mediator between stakeholders facilitating compromise

o Knows when more formal approaches are needed and how to use them

  1. Willingness to learn

o Demonstrates a desire to learn new tools, technologies, and processes

o Takes the initiative to research best practices and see how those can be applied to

the team's projects


• Technical skills:

o Proficient in data processing tools (SQL, Python, R)

o Strong knowledge of batch and stream data processing techniques (Spark, Kafka)

o Strong knowledge in MLOps and related concepts

o Experienced in data modelling and data warehousing techniques

o Experienced in using Git for version control and CI/CD

o Experienced in using business intelligence tools (Power BI, Tableau)

o Preferably with experience in Cloudera and Snowflake

o Preferably with experience in the banking and financial services industry

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