Sr Machine Learning Engineer

2 weeks ago

Bengaluru, Karnataka, India PayPal Full time US$ 1,50,000 - US$ 2,00,000 per year
The Company
Job Description:Your day-to-day
  • Develop and optimize machine learning models for various applications.
  • Preprocess and analyze large datasets to extract meaningful insights.
  • Deploy ML solutions into production environments using appropriate tools and frameworks.
  • Collaborate with cross-functional teams to integrate ML models into products and services.
  • Monitor and evaluate the performance of deployed models.
What do you need to bring
  • Minimum of 5 years of relevant work experience and a bachelor's degree or equivalent experience.
  • Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
  • Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.
  • Several years of experience in designing, implementing, and deploying machine learning models and scaling ML Systems
  • MSc or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.) or a bachelor's degree in engineering, science, statistics or mathematics with a strong technical background in machine learning.
  • Hands-on experience with Python or Java, along with relevant technologies such as Spark, Hadoop, Big-Query, SQL, is required.
  • Candidates must possess a comprehensive understanding of machine learning algorithms and explainable AI techniques. Additionally, expertise in at least one of the following specialized areas is required: Computer Vision, Graph Mining, Natural Language Processing (NLP), or Generative AI (GenAI).
  • Experience with Cloud frameworks such as GCP, AWS is preferred.
  • Experience with developing machine learning models at scale from inception to business impact
  • Experience in designing ML pipelines, including model versioning, model deployment, model testing, and monitoring
  • Experience in mentoring and supporting junior data scientists or engineers.
  • Experience working in a multi-cultural and multi-location organization – an advantage.
  • Team player, responsible, delivery-oriented, details-oriented, outstanding communication skills.
Good to Have:
  • Experience with applying LLMs, prompt design, and fine-tuning methods
  • Experience with developing Gen AI applications/services for sophisticated business use cases and large amounts of unstructured data.
  • Knowledge of Payments industry, transaction risk domain
  • Publications in prominent journals or conferences in the field of AI or successful AI/ML-related patent applications.
Preferred Qualification:Our Benefits:Who We Are:Commitment to Diversity and Inclusion

PayPal

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