Senior Machine Learning Engineer

  • Bengaluru
  • Visa

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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