Senior Platform Engineer (MLOps) - VP

We're seeking someone to Partner with the Data engineering, Advanced analytics, Strats and Platform team(s), across multiple project areas, and work in collaboration with team(s) in Hungary, India & USA. The individual would be response for end-to-end development and operationalization of cross-system data flows, data stores and distributed applications for Banking DRM squads. The person would also be part of the overall cloud adoption and engineering roadmap and ensure scalable, agile, and robust architecture and implementation. Additionally, should be able to work in a dynamic environment with limited or no supervision and should be able to knowledge-share across other team members. Should be comfortable and manage time working with global team on multiple initiatives.

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 Senior Platform Engineering position at VP level focusing on Machine Learning Platforms, which is part of the job family responsible for developing and maintaining software solutions that support business needs.

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 that’s eager to create, innovate and make an impact on the world? Read on.

What you’ll do in the role:

• Design, Implement and Operationalize distributed, scalable, and reliable data flows that ingest, process, store, and access data at scale in batch / real-time.
• Develop distributed applications on-prem as well as on Cloud that scale to serve analytics, rules, web-applications, models, and Visualizations for end-users.
• Partner with stakeholders to develop and analyze features at scale. Provide SME level interface for team members to optimize their workflows, streamline operationalization and reduce time-to-market.
• Contribute to metadata management, Data modelling and documentation.
• Contribute to adoption of CI/CD and Data Ops practices.
• Define and Implement metrics to monitor data flow performance as well as optimize when necessary.
• Evaluate state-of-art data platforms and technologies and prototype solutions.
• Take part in building the organisation, including hiring and performance management.
• Take part in defining goals and priorities in your scope, ensuring alignment with business objectives.
• Collaborate with stakeholders to understand priorities and ensure proper delivery and quality of delivery.
• Take part on defining strategic direction for MLOps initiatives and roadmap.
• Communicate progress, challenges, and milestones to senior leadership.
• Ensure compliance with data security, privacy, and regulatory requirements.
• Foster a collaborative and inclusive team environment to drive innovation and high performance.

What you'll bring to the role:

• Experienced professional with 5+ years of experience working towards design, architecture, development, and operationalization of data flows across Hadoop eco-system, Spark (Databricks or otherwise), Snowflake and Cloud platform(s)
• Experience working on cloud platforms - Azure (Databricks, Snowflake), AWS, and their respective offerings.
• Experience in developing large scale Distributed data-driven applications leveraging technologies defined above
• Experience and understanding across key SQL and NoSQL datastores - HDFS, S3, Snowflake, MongoDB, Splunk as well as In-memory datastores.
• Experience and understanding of machine learning and advanced analytics models.
• Proven understanding of the overall Data and Model deployment lifecycle and processing pipelines including orchestration, workflow scheduling tools, monitoring, optimization
• Programming Languages - Expertise in Python, Advanced SQL, and Shell (Scripting)
• Expertise in Data analytics and Data wrangling through complex and optimized Python / Spark / SQL
• Ability to work in Fast paced and Dynamic environment.
• Good written and verbal communication skills
• Strong understanding of the importance of data governance, metadata management, and data lineage around feature engineering.

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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 - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll 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. There’s also ample opportunity to move about the business for those who show passion and grit in their work.

Certified Persons Regulatory Requirements:
If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks.

Flexible work statement
Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.