Senior Machine Learning Engineer

2 hours ago

Bangalore, India Visa Full time
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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