Senior Platform Engineer - Machine Learning Platforms

• Participate in and prototype new technologies and establish repeatable patterns.

• Champion CI/CD, DataOps and MLOps best practices: automated testing, release pipelines, orchestration, monitoring, rollback and disaster recovery.

• Define and implement metrics and observability for data flows, model performance and platform health; proactively optimize for throughput, latency and cost.

• Lead metadata management, data modeling, lineage and governance to ensure reproducibility, auditability and regulatory compliance.

• Collaborate with stakeholders (data engineering, strats, ML scientists, product owners, compliance) to translate priorities into deliverables and communicate progress to senior leadership.

• Take part in growing the team: Participate in hiring, mentor and grow engineering talent across multiple continents; set team standards for quality, documentation and secure coding.

• We are counting on you to own strategic direction and roadmap for MLOps and platform capabilities within your domain.

What you'll bring to the role:

• 5+ years building and operating production data platforms: distributed data-driven applications using Spark (Databricks or equivalent), SQL and cloud services.

• Familiarity with ML workflows, feature engineering, model lifecycle and deployment practices.

• Hands-on experience with data ingestion, transformation and storage patterns for batch and streaming.

• Strong proficiency in Python (PySpark), advanced SQL and shell scripting.

• Practical experience with orchestration and workflow tools, CI/CD for data/model pipelines and operational monitoring.

• Solid knowledge of key datastores (HDFS, S3, Snowflake, MongoDB, Splunk or equivalents) and in-memory stores.

• Proven ability to lead technical delivery and work independently

• Excellent written and verbal communication skills for cross-functional stakeholder management.

Nice to have:

• Strong knowledge of Snowflake as SQL platform

• Experience in regulated financial services environments.

• Hands-on experience with feature stores, MLFlow or similar model registries and advanced observability tooling.

• Knowledge of cloud cost optimization, security frameworks and data privacy regulations.

#LI-FT1 #BPTECH #LI-hybrid

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.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.

Certified Persons Regulatory Requirements:
If t his 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.

Client-provided location(s): Budapest, Hungary

Job ID: Morgan-PT-JR012068

Employment Type: FULL_TIME

Posted: 2025-10-16T18:36:20