High Salary Software Engineer

Software Engineer - Data Scientist AI ML This role has been designed as Hybrid with an expectation that you will work on average 2 days per week from an HPE office Who We Are Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work We help companies connect protect analyze and act on their data and applications wherever they live from edge to cloud so they can turn insights into outcomes at the speed required to thrive in today s complex world Our culture thrives on finding new and better ways to accelerate what s next We know varied backgrounds are valued and succeed here We have the flexibility to manage our work and personal needs We make bold moves together and are a force for good If you are looking to stretch and grow your career our culture will embrace you Open up opportunities with HPE What you ll do BS MS in Computer Science or Data Science Electrical Engineering Statistics Applied Math or equivalent fields with strong mathematical background General understanding of machine learning techniques and algorithms including clustering anomaly detection optimization Neural network Graph ML etc Experience building data science-driven solutions including data collection feature selection model training post-deployment validation Strong hands-on coding skills preferably in Python processing large-scale data set and developing machine learning models Familiar with one or more machine learning or statistical modeling tools such as Numpy ScikitLearn MLlib Tensorflow Works well in a team setting and is self-driven What you need to bring Desired Experience Experience with some equivalent AWS Flink Spark Kafka Elastic Search Kubeflow Knowledge with NLP technology Demonstrable problem-solving ability Conceptual understanding of system design concepts Responsibilities Collaborate with team to understand feature work with domain experts to identify relevant signals during feature engineering deliver generic and performant ML solutions Keep up to date with newest technology trends Communicate results and ideas to key decision makers Implement new statistical or other mathematical methodologies as needed for specific models or analysis Optimize joint development efforts through appropriate database use and project design Additional Skills Cloud Architectures Cross Domain Knowledge Design Thinking Development Fundamentals DevOps Distributed Computing Microservices Fluency Full Stack Development Security-First Mindset Solutions Design Testing Automation User Experience UX What We Can Offer You Health Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical financial and emotional wellbeing Personal Professional Development We also invest in your career because the better you are the better we all are We have specific programs catered to helping you reach any career goals you have whether you want to become a knowledge expert in your field or apply your skills to another division Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness We know varied backgrounds are valued and succeed here We have the flexibility to manage our work and personal needs We make bold moves together and are a force for good Let s Stay Connected Follow on Instagram to see the latest on people culture and tech at HPE india networking Job Engineering Job Level TCP 02 HPE is an Equal Employment Opportunity Veterans Disabled LGBT employer We do not discriminate on the basis of race gender or any other protected category and all decisions we make are made on the basis of qualifications merit and business need Our goal is to be one global team that is representative of our customers in an inclusive environment where we can continue to innovate and grow together Please click here Hewlett Packard Enterprise is EEO Protected Veteran Individual with Disabilities HPE will comply with all applicable laws related to employer use of arrest and conviction records including laws requiring employers to consider for employment qualified applicants with criminal histories