AI/ML Engineer
IND - Karnataka - Bengaluru - Corp - Sarjapur Main Rd
PayPal
Verwende dein PayPal-Konto, um zu bezahlen, Geld zu senden und zu verwalten. Oder erstelle dir ein Händlerkonto für dein Unternehmen. Und noch vieles mehr.At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to revolutionize commerce globally to make moving money, selling and shopping, personalized and secure.
Job Description Summary:
What you need to know about the role:You will be part of fast paced team that executes Global functions business strategy and focused on driving efficiency through automation and improve productivity of our employees. We are currently seeking an experienced AI/ML engineer who will collaborate closely with cross-functional teams to develop and deploy AI/ML-powered features and tools that optimize employee experiences and drive business outcomes.
Meet our team:
Our team is responsible for leading digital transformation through simplification of day-to-day moments, task as seamless experience for our workforce. We are also accountable for driving technology strategy for HR, Legal, Insights, Global Safety and Security, and driving operational efficiency productivity and cost saving across the Enterprise.
Job Description:
Your way to impact:
As an AI/ML Engineer, you will be responsible for developing and deploying cutting-edge machine learning and artificial intelligence solutions to solve complex problems and enhance our products and services. The ideal candidate will have a strong background in machine learning algorithms, deep learning frameworks, and software engineering principles.. Your role also impacts product and platform convergence, influencing the total cost of ownership. A successful candidate will possess an established background in developing customer-facing experiences, strong technical abilities, excellent project execution skills, effective communication skills, and the motivation to achieve results in a fast-paced environment.
Your day to day:
Adopting internal methodologies, policies, guidelines, and security standards across all areas
Participation of Agile ceremonies in support of building business/technology capabilities
Responsible for deployment related activities including coordination of changes as applicable.
Aligning duties with company, business, department, individual objectives, and goals
Interaction with cross functional teams and business as needed.
Provide production support as defined.
What do you need to bring:
- Strong programming skills: AI/ML engineers must have strong programming skills in languages such as Python, Java, C++, or R. They should be able to write clean, efficient, and well-documented code.
- Understanding of machine learning algorithms and techniques: AI/ML engineers must have a deep understanding of various machine learning algorithms and techniques, such as supervised and unsupervised learning, neural networks, decision trees, and clustering.
- Experience with machine learning libraries: AI/ML engineers should have experience with popular machine learning libraries such as TensorFlow, Keras, PyTorch, or scikit-learn.
- Knowledge of deep learning architectures and techniques: AI/ML engineers should be familiar with deep learning architectures and techniques, such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and reinforcement learning.
- Experience with big data processing frameworks: AI/ML engineers should have experience with big data processing frameworks such as Hadoop, Spark, or Kafka.
- Hands-on experience with Azure AI, MS Workflow, integrating REST-based APIs
- Strong statistical and mathematical skills: AI/ML engineers should have strong statistical and mathematical skills, including linear algebra, calculus, probability theory, and statistical inference.
- Experience with data preparation and data engineering: AI/ML engineers should have experience with data preparation and data engineering tasks such as data cleaning, feature engineering, and data transformation.
- Strong problem-solving skills: AI/ML engineers should have strong problem-solving skills and the ability to identify and solve complex problems.
- Excellent communication skills: AI/ML engineers should have excellent communication skills and the ability to explain complex technical concepts to non-technical stakeholders.
Additional Job Description:
Subsidiary:
PayPalTravel Percent:
0Our Benefits:
At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.
We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com
Who We Are:
Click Here to learn more about our culture and community.
PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. For more information, visit https://www.paypal.com , https://about.pypl.com and https://investor.pypl.com.
PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.
Any general requests for consideration of your skills, please Join Our Talent Community.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile APIs Architecture Azure Big Data Clustering Deep Learning Engineering Feature engineering Hadoop Java Kafka Keras Linear algebra Machine Learning Probability theory Python PyTorch R Reinforcement Learning Scikit-learn Security Spark Statistics TensorFlow Unsupervised Learning
Perks/benefits: Career development Health care Insurance Team events
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open MLOps Engineer jobs
- Open Data Science Manager jobs
- Open Data Manager jobs
- Open Lead Data Analyst jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open Principal Data Engineer jobs
- Open Power BI Developer jobs
- Open Sr Data Engineer jobs
- Open Data Scientist II jobs
- Open Data Analytics Engineer jobs
- Open Business Intelligence Developer jobs
- Open Product Data Analyst jobs
- Open Junior Data Scientist jobs
- Open Business Data Analyst jobs
- Open Sr. Data Scientist jobs
- Open Data Analyst Intern jobs
- Open Senior Data Architect jobs
- Open Big Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Junior Data Engineer jobs
- Open Azure Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Data Product Manager jobs
- Open Data Quality Analyst jobs
- Open Data quality-related jobs
- Open GCP-related jobs
- Open Business Intelligence-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Data visualization-related jobs
- Open PhD-related jobs
- Open Finance-related jobs
- Open Deep Learning-related jobs
- Open PyTorch-related jobs
- Open APIs-related jobs
- Open TensorFlow-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open LLMs-related jobs
- Open CI/CD-related jobs
- Open Generative AI-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Hadoop-related jobs
- Open Airflow-related jobs
- Open DevOps-related jobs