PayPal Senior Software Engineer India, Karnataka, Bengaluru 161158805
We are hiring talented and creative ML engineer for AIML platform team based in Bangalore IND, you will be customer-centric, strategic & analytical in decision making and laser-focused on executing at scale. You will have a chance to work on solving real world problems and gain practical experience in end-to-end Machine Learning life cycle. You will gain domain expertise in a variety of industries, working with data scientists, researchers, and engineers to build ML models used across all PayPal domains.
Essential Responsibilities:
- Delivers complete solutions spanning all phases of the Software Development Lifecycle (SDLC) (design, implementation, testing, delivery and operations), based on definitions from more senior roles.
- Advises immediate management on project-level issues
- Guides junior engineers
- Operates with little day-to-day supervision, making technical decisions based on knowledge of internal conventions and industry best practices
- Applies knowledge of technical best practices in making decisions
Expected Qualifications:
- 3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
Preferred Qualification:
Your way toimpact
Strong critical thinking and problem-solving skills with the ability to address complex technical and non-technical challenges.
Ability to influence at all levels of the organization and across multiple domains.
Ability to lead complex technical and data science discussions and engagements that involve multiple personas including data scientists, data engineers,analystsand developers.
Your day to day
Design and develophighlyscalable and efficient platform that enables data scientists to build, deploy, andmonitormachine learning solutions end-to-end.
Ensure high code quality, performance, and reliability through rigorous testing, code reviews, and adherence to software development best practices.
Drive innovation by researching and incorporatingstate-of-the-artmachine learning techniques, tools, and frameworks into the platform.
Effective communication, listening, interpersonal, influencing, and alignment driving skills; able to convey important messages in a clear and compelling manner
provide
state-of-the-artdeep learning techniques andPartner
scientistsand architecture leaders to drive optimized platform product delivery
What do you need to bring
+ year experience for MS;8+ year experience for BS.
track recordof over-achieving engineering and platform delivery and scaling targets in high volume, innovative and fast-paced high-pressure environment; proven results in delivery on platform products.
Masters / bachelor’s in computer science, Computer engineering, Machine Learning, Data Mining, Information Systems, or related disciplines, with technicalexpertisein one or more of the above-mentioned areas or equivalent practical experience.
proficiencyin machine learning concepts, algorithms, and techniques, with hands-on experience in developing and deploying machine learning models.
in programming languages such as Python,Go,Java, andproficiencyin machine learning libraries/frameworks such as TensorFlow,PyTorch, scikit-learn, etc.
Stay up to date with the latest advancements in AI/ML technology and industry trends andleveragethis knowledge to enhance the platform's capabilities.
Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
Strong communication, listening, interpersonal, influencing, and alignment driving skills; able to convey important messages in a clear and compelling manner.
Demonstrated leadership abilities, including the ability to inspire, mentor, and empower team members to achieve their full potential.
Experience withJupyterNotebook, Kubeflow, Airflow, Argo,GPUand HPC
Experience building ML infrastructure orMLOpsplatformsand Bigdata platforms technologies such as Hadoop,BigQuery, Spark, Hive and HDFS
Our Benefits:
Any general requests for consideration of your skills, please
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