AI ML Engineer
Morgan Stanley's Entitlement Analytics Teamis looking for a machine learning engineerwith 4 to 6 years of relevant experience,to build efficient, data-driven artificial intelligence systems that advance our predictive automation capabilities. The candidate should be highly skilled in statistics and programming, with the ability to confidently assess, analyze, and organize large amounts of data. The candidate should also be able to execute tests and optimize the existing machine learning models and algorithms.
Objectives of this role
Design and develop machine learning algorithms and deep learning applications and systems
Solve complex problems with multilayered data sets, and optimize existing machine learning libraries and frameworks
Collaborate with data scientists, administrators, data analysts, data engineers, and data architects on production systems and applications
Identify differences in data distribution that could potentially affect model performance in real-world applications
Ensure algorithms generate accurate user recommendations
Stay up to date with developments in the machine learning industry
Responsibilities
Study and transform data science prototypes and apply appropriate machine learning algorithms and tools
Run machine learning tests and experiments, and document findings and results
Train, retrain, and monitor machine learning systems and models as needed
Construct optimized data pipelines to feed machine learning models
Consult with managers to determine and refine machine learning objectives
Extend existing machine learning libraries and frameworks
Preferred Skills
Impeccable analytical and problem-solving skills
Extensive math and computer skills, with a deep understanding of probability, statistics, and algorithms
In-depth knowledge of machine learning frameworks, like Keras or PyTorch
Familiarity with data structures, data modelling, and software architecture
Excellent time management and organizational skills
Desire to learn
Required Skills
Proven experience as a machine learning engineer or similar role with Python
At least 2 years of relevant experience with Java
Experience working in an agile environment
Excellent communication and collaboration skills
Innovative mind with a passion for continuous learning
General knowledge of building machine learning systems
Bachelor's degree (or equivalent) in computer science, mathematics, or related field
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.