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Practical experience with GenAI technologies including:
LLMs such as OpenAI, Azure OpenAI, Anthropic
Prompt engineering and RAG
Vector databases such as Pinecone, FAISS, Weaviate, Elastic Vector Search
Model deployment and inference using tools such as Transformers, LangChain, LlamaIndex
Hands-on experience with Python for ML or AI workflows.
Familiarity with MLOps, feature stores, and model monitoring is a plus.
Cloud and DevOps
Experience building cloud-ready applications and containerized deployments using Docker and Kubernetes.
Knowledge of CI or CD pipelines, automated testing, and observability tools such as Grafana, Splunk, and Prometheus.
Soft Skills
Strong analytical and problem-solving ability.
Excellent written and verbal communication skills.
Ability to work effectively in a global and fast-paced environment.
Strong stakeholder management and leadership skills.
Preferred Skills
Background in fraud, cybersecurity, risk technology, or financial services.
Understanding of reactive programming.
Experience working in Agile or Scrum environments.
Hands-on experience with distributed systems, event-driven architectures, and API-first design.
At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 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.
Expected base pay rates for the role will be between $150,000 and $210,000 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 Stanley's 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).
Global financial services firm providing investment and banking solutions.
Visit company websiteJobs and hiring trendsUSD 150000-210000 yearly / year
Full-time
Senior · 10+ years experience
Onsite
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