Consultant Conversion Infra Prod Mgmt & RE III Director

In the Technology division we leverage innovation to build the connections and capabilities that power our Firm enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Infrastructure Production Management & Reliability Engineering position at the Director level which is part of the job family responsible for maintaining the stability and reliability of the organizations infrastructure systems ensuring optimal performance and availability to support business operations.

Morgan Stanley is an industry leader in financial services known for mobilizing capital to help governments corporations institutions and individuals around the world achieve their financial goals.

Interested in joining a team thats eager to create innovate and make an impact on the world Read on.

MS Wealth Management (MSWM) Technology

Morgan Stanley Wealth Management (MSWM) Technology is the global technology department responsible for the design development delivery and support of the technical solutions behind the products and services used by the Morgan Stanley Wealth Management (MSWM) business. The department is comprised of 10 organizations: Sales Banking & Corporate-Client Technology Investment Products & Markets Technology Client Reporting Core Processing Private and International Wealth Management Technology Technology Integration Office Enterprise Infrastructure & Production Management Capital Markets Application & Data Services Deployment Planning & Release Management and the Chief Operating Office.

Department Profile

Wealth Managements Core Platform Services group provides horizontal services to all Wealth management Development Teams. Our mission is to provide stable and scalable infrastructure and technology solutions for entire Wealth Management. We serve as a centralized interface through which Wealth Management teams can obtain infrastructure solutions and project support by working closely with application owners throughout the SDLC process to ensure that established products/services are leveraged and new requirements are fulfilled.

Position Description

This position is for Machine Learning engineer for Morgan Stanley Wealth Management Databricks platform team at Morgan Stanleys Alpharetta platform engineering team is responsible to architect optimize and PoC on new features.

We are looking for colleagues with strong sense of ownership and ability to drive solutions. The role is primarily responsible to lead initiations/Proof of concepts in Databricks data platform and bring new ideas and innovation.

The candidate is expected to code conduct code reviews and test framework as needed along with participating in application architecture and design and other phases of the innovation. The ideal candidate will be a self-motivated team player committed to delivering on time and should be able to work with or without minimal supervision.

What youll do in the role:

• Design develop and optimize machine learning models to improve efficiency scalability and performance.

• Implement innovative MLOps practices to streamline model deployment monitoring and maintenance.

• Collaborate with cross-functional teams to integrate ML solutions into business processes.

• Develop and enforce governance frameworks for ML systems ensuring compliance with ethical and regulatory standards.

• Stay updated on the latest advancements in ML technologies and incorporate them into existing workflows.

• Conduct research and experimentation to identify new approaches for improving model performance and efficiency.

• Document and communicate technical concepts and solutions to both technical and non-technical stakeholders.

• Mentor and guide junior team members fostering a culture of continuous learning and innovation.

What youll bring to the role:

• Must be strong in UNIX Shell Python scripting knowledge

• Must be strong in Databricks

• Must have strong knowledge of SQL

• Strong in logical reasoning capabilities

• Should have working knowledge of Github DevOps CICD/ Enterprise code management tools

• Strong collaboration and communication skills

• Must possess strong team-player skills and should have excellent written and verbal communication skills

• Ability to create and maintain a positive environment of shared success.

• Ability to execute and prioritize a tasks and resolve issues without aid from direct manager or project sponsor.

• Good to have working experience on Databricks & any data integration tool etc

Primary skills

• Databricks

• Snowflake

• Azure

• Machine Learning

Good to have skills:

• Unix Shell scripting

• Python

• SQL

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first doing the right thing leading with exceptional ideas committing to diversity and inclusion and giving back - arent just beliefs they guide the decisions we make every day to do whats best for our clients communities and more than 80000 employees in 1200 offices across 42 countries. At Morgan Stanley youll find an opportunity to work alongside the best and the brightest in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey offering some of the most attractive and comprehensive employee benefits and perks in the industry. Theres also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe please copy and paste into your browser.

Expected base pay rates for the role will be between $95000 and $135000 per year at the commencement of employment. However base pay if hired will be determined on an individualized basis and is only part of the total compensation package which depending on the position may also include commission earnings incentive compensation discretionary bonuses other short and long-term incentive packages and other Morgan Stanley sponsored benefit programs.

Morgan Stanleys goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees.

It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race color religion creed age sex sex stereotype gender gender identity or expression transgender sexual orientation national origin citizenship disability marital and civil partnership/union status pregnancy veteran or military service status genetic information or any other characteristic protected by law.

Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).