Sr. Machine Learning & AI Engineer at PayPal

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

14 Jan, 26

Salary

0.0

Posted On

16 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, AI Engineering, Data Analysis, Model Deployment, Cloud Platforms, TensorFlow, PyTorch, Gen AI Applications, SQL, Feature Engineering, Agile Methodology, CUDA, Docker, Big Data, Data Mining, Cross-Functional Collaboration

Industry

Software Development

Description

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. 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 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. 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.

Responsibilities

Develop and optimize machine learning models for various applications and deploy ML solutions into production environments. Collaborate with cross-functional teams to integrate ML models into products and services while monitoring their performance.