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Urgent! Sr. Machine Learning & AI Engineer Job Opening In Bengaluru – Now Hiring PayPal

Sr. Machine Learning & AI Engineer



Job description

Description

:

Essential Responsibilities:

  • 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.

  • Minimum Qualifications:

  • 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.

  • Preferred Qualification:

    Responsibilities :


    • Write clean, high-performance, high-quality, maintainable code
    • Discovering, analyzing, structuring and mining data
    • Be a key engineer contributing to the design, development of the new ML and Gen AI based solutions, improving and maintaining the same.
    • Work with data scientists and backend engineers to implement scalable AI and ML solutions to solve complex problems.
    • Maintain and enhance the existing architectural documentations and create the new one as needed
    • Highly effective at working in cross-functional groups and getting results in matrix organizations
    • Highly analytical, innovative, and able to think strategically and to develop comprehensive detailed specifications

    Qualifications and skills :
     

  • B.S./B.E/B.Tech in computer sciences with 5+ years of experience or equivalent
  • Experience in building production grade Gen AI applications including Prompt Engineering and RAG fine-tuning techniques and usage of Agentic frameworks like Langraph, Langchain, CrewAI etc.

  • Experience in Fine Tuning LLMs is a plus
  • Experience with cloud technologies (GCP/AWS/Azure.) is recommended.

  • Experience on building shallow learning and deep learning applications, using TensorFlow, PyTorch, H2O, SciKit-Learn, Keras, Spark MLlib, XGBoost, LightGBM etc.

  • ML Design pattern, algorithm and the data structure skills
  • Worked in development environments following agile principles and methodology
  • Experience in working with GPU, profiling/low-level optimizations, Cuda/CuDNN is a plus
  • Experience with one or more Container-ecosystem (Docker, Mesos, Kubernetes) is a plus
  • Experience with Big Data Platform and data processing frameworks (Hadoop, Hive, Map Reduce, Spark, etc.) and professional skill in writing optimal production grade SQL queries is a plus
  • Experience on data mining, feature engineering, and distributed data programming
  • Excellent communication skill to global business and technical partners
  • Highly motivated, goal driven, can-do attitude
  • Innovative, entrepreneurial, team player, ability to multi-task
  • Flexible in learning new tools and technologies and quickly on boarding solutions using solutions using them.

  • Subsidiary:

    PayPal

    Travel Percent:

    0

    PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding.

    Any such request is a red flag and likely part of a scam.

    To learn more about how to identify and avoid recruitment fraud please visit .

    For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.

    Our 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 .

    Who We Are:

    to learn more about our culture and community.

    Commitment to Diversity and Inclusion

    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 .

    Belonging at PayPal:  

    Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging.

    Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued.

    We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.

    Any general requests for consideration of your skills, please .

    We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates.

    Please don’t hesitate to apply.


    Required Skill Profession

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