Senior Machine Learning Engineer
2 months ago
Job Description
Strategic and Functional Excellence
- Good business acumen to orient data analysis to business needs of clients, including experience in the payments space.
- Ability to detail out the assigned user stories with relevant implementation details and ensuring the sprint based Agile best practices are followed.
- Should have strong problem-solving capabilities and ability to quickly propose feasible solutions and effectively communicate to stakeholders.
- Good communication and presentation skills with ability to interact with different cross-functional team members at varying levels
- Ability to learn new tools and paradigms as data science continues to evolve at Visa and elsewhere.
- Intellectually curious and continuously striving to learn.
Technical skills
- Experience with machine learning model implementation, deployment and management.
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
- Strong programming skills in building data pipelines using PySpark, Hive, Airflow.
- Experience working with scheduling tools (Airflow, Oozie) or building data processing orchestration workflows.
- Hands-on experience working with large scale data ingestion, processing, and storage in the Hadoop ecosystem
- Experience in writing and optimizing SQL queries in Big data environment.
- Experience working in Linux/Unix environment and exposure to command line utilities.
- Experience working in building and integrating the code in the defined CI/CD framework using git.
- Experience in managing the operations of ML models, de-bugging issues and providing fixes.
People Leadership and Stakeholder Management
- Strong interpersonal and leadership skills to influence and build credibility with senior leaders across a federated organization
- Team-oriented, collaborative, diplomatic, and flexible, with proven ability to build strong working relationships with internal and external clients at all levels of management and work on complex issues within cross-functional teams
- Self-starter who can responsibly advance work and is comfortable making sound, well-informed judgement calls for progress, without needless delays
- An individual who is known for building deep and trusted relationships despite sometimes competing priorities
- Open-minded and willing to listen to ideas and opinions from others. Able to look for new solutions when current processes don't work
Qualifications
• 4+ years of relevant work experience with a Bachelor’s Degree with specialization in Computer science, Information science, Machine Learning, Data Engineering and Analytics or relevant area.
• 2+ years of experience leading Data/ML projects and related skills
• Fundamental and broad knowledge of common data tools and methodologies
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