Senior Machine Learning Engineer

Skills and Competencies 

• Excellent written and verbal communication skills, with the ability to understand and articulate business requirements and objectives to both technical and non-technical stakeholders. 

• Expertise in supervised and unsupervised machine learning algorithms and their implementations, including advanced concepts such as active learning, computer vision, and deployments in complex setups, beyond the standard approaches.  

• Expertise in Python programming, including machine learning-relevant libraries such as NumPy, Pandas, and PyTorch . 

• Experience in machine learning operations (ML Ops) practices, including CI/CD pipelines for ML models, model monitoring, and maintenance, is a plus. 

• Expertise with tools in the modern machine learning stack, including Jupyter, Docker, Git, and cloud computing platforms such as AWS or GCP . 

• Expertise in building data tools for ETL, extracting data from SQL and NoSQL databases, and data analysis.  

• Experience with GIS systems is preferred.    

• Minimum 5+ years of hands-on industry experience

 
Education  

Successful candidates will typically hold a PhD in a STEM field, a master's degree with 5+ years of hands-on industry experience, or a bachelor's degree with 7+ years of hands-on industry experience in a STEM field . 

Responsibilities 

You will work independently within a small team of highly skilled - and lovely - individuals, building practical, robust, and scalable machine learning solutions. You will be responsible for improving and extending our core product offering and contribute to product research, meeting high standards while delivering maximum value to our clients

Data Exploration:  

• You collect, clean, and preprocess data for data analysis and machine learning and maximize the value of that data. 

• You conduct data analysis to understand distributions, patterns, and issues.  

• You create visual representations of data to make complex findings more understandable. 

• You identify and explore new and existing data sources to optimize and validate our models. 

• You leverage data from internal and external sources to generate structured knowledge about our space. 

Model Development and Improvement: 

• You train and refine machine learning models based on business objectives. 

• You improve model performance by identifying and correcting failure modes.  

• You support us in maintaining a robust and secure computing environment for machine learning applications in coordination with DevOps and IT. 

• You contribute to the design, implementation, and automation of large-scale model training, model integration, and evaluation pipelines. 

• You consider the ethical implications of data use to ensure responsible and fair practices. 

• You design and conduct experiments to test hypotheses, validate assumptions, and draw relevant conclusions. 

• You make a pragmatic choice of the appropriate machine learning algorithms based on the characteristics of the data, the problem, and the business constraints. 

• You ensure that the projects you lead follow our governance processes. 

Coordination, Planning, and Communication:  

• You collaborate with cross-functional teams, including CAPE by Moody’s machine learning, software engineering, product development, and sales teams. 

• You communicate technical findings to non-technical stakeholders. 

• You contribute to the knowledge base and ongoing skill transfer throughout the engineering organization. 

• You defend your methodology and incorporate feedback from internal teams and clients. 

• You participate in project planning and prioritization discussions. 

• You think holistically about inefficiencies and take ownership in resolving them. 

• You objectively weigh the pros and cons of changes to the design or implementation of our systems, demonstrating a balanced understanding of the implications of these decisions. 

• You contribute to quarterly planning by proposing projects and reviewing others' ideas. 

• You document complex findings in an easily accessible manner suitable for technical and non-technical audiences. 

• Other duties and responsibilities as assigned.  

Within 3 month's you will:

• Conduct Advanced Analysis: Analyse data to uncover deeper insights, create compelling visualizations, and translate findings into actionable recommendations.
• Refine Models: Begin improving and fine-tuning machine learning models based on identified business needs and existing performance benchmarks.
• Explore New Data Sources: Identify, assess, and validate new internal or external data sources to enhance models or analyses.
• Lead Smaller Projects: Take ownership of smaller initiatives, ensuring alignment with CAPE at Moody’s priorities and governance standards.

Within 6 month's you will:

• Deliver Impactful Results: Lead or co-lead the development and deployment of complex models or systems that drive measurable improvements in CAPE at Moody’s analytics capabilities.
• Create Accessible Documentation: Create comprehensive, accessible documentation of findings, methodologies, and systems for both technical and non-technical audiences.
• Share Knowledge: Actively share expertise with team members, contributing to the organization’s knowledge base.
• Address Systemic Challenges: Identify inefficiencies in processes, workflows, or systems, and implement solutions with long-term impact.
• Drive Innovation: Design, validate, and implement new approaches, algorithms, or models to solve complex business challenges.
• Influence Planning: Contribute meaningfully to quarterly and strategic planning by proposing projects and reviewing others’ ideas.
  
  

About the team

Our Machine Learning Technology team is responsible for the core technology behind our award-winning property intelligence solutions.

We leverage machine learning, geospatial imagery, and computer vision to measure and monitor the built environment. By joining our team, you will be part of exciting work in property intelligence and help to better understand how our homes and workplaces can withstand the changing climate and economic risks of the 21st century.

 #LI-ER1