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Job Description:

Senior Engineer II Locations Bangalore, India

Categories Digital Commerce Categories Technology

Job Description

The Commercial Salesforce team is part of the new Enterprise Platform COE team Core to our purpose is reimagining the platform solution-delivery model to dramatically improve our strategic agility, speed to market, effectiveness of delivery and transparency

We work closely with our sales and account development organization selling to new clients and helping grow business with existing clients New times bring new challenges and we need to drive huge productivity gains in our field organization We need to do more with the people we have sell more, retain higher numbers of clients, and drive higher satisfaction amongst our clients Salesforcecom is the platform that will drive enhanced productivity in our field teams We are building and delivering a single, global salesforcecom platform -- a command-center for everything our field teams need to do, see and act-on

We are on a journey to create a best-in-class Product & Engineering Organization Our Product and Engineering team not only understand how technology works, but how that technology intersects with the people who count on it every day Today, innovative ideas, insight and new perspectives are at the core of how we create a more powerful, personal and fulfilling experience for all our customers So if youre interested in a career creating breakthrough products and making an impact on our sales teams, account development organization and customers, look no further

You wont just keep up, youll break new ground

Youll be challenged everyday as our ONEforce team works to create the Commercial Salesforce Platform of tomorrow Heres just some of what youll be doing

As a Senior Engineer in our Machine Learning team you will be responsible for creating and delivering technical solutions and capabilities on the platform primarily focused on Sales , Account Development and Marketing domain You will be challenged with identifying innovative ideas and proof of concepts to deliver against the existing and future needs of our customers As a Senior Engineer the successful candidate will play a key role in the understanding of product owner strategy and collaborate with peers and technology partners to translate complex user stories into successful product releases If you have the talent and desire to deliver innovative products and services at a rapid pace, serving our customers seamlessly across through cognitive solutions, this would be the right fit for you!


More than 70 PERCENT of the time spent on coding and/or hands-on technical implementation of Machine Learning models

Leading your own project Suggest, collect and synthesize requirements Create an effective roadmap towards the deployment of a production-level machine learning application

Architecting, estimating and planning technical solutions to problems

Implement new, highly scalable platform components and tools leveraging machine learning and deep learning models to solve real-world problems in areas such as Speech Recognition, Natural Language Processing and Time Series predictions

Actively participate in team and company-wide architecture and engineering discussions and forums

Identifying opportunities and providing input on product vision, strategy, roadmap, and features, including external benchmarking and keeping a pulse on artificial intelligence, big data, machine learning, natural language processing and customer preferences

Qualifications To be successful in the role, the following experience is required

At least 5 years of progressive experience with a broad set of tech stacks, hands-on Machine Learning and Big Data is mandatory as part of the job
Deep expertise in building scalable Machine Learning powered applications
Experience with production grade applications preferred Ideally with an application that leverages Machine Learning to power its decisions
Highly motivated, individual contributor who can manage relationships in a cross-functional environment Proven track record of working with multiple stakeholders
Experience in creating and managing capabilities and solutions for
Marketing Analytics

Quantitative and Software Development Skills

Master of Science or higher in a quantitative discipline, eg Data Science, Statistics, Mathematics, Computer Sciences or similar Bachelor of Science with 5 years of experience in a highly quantitative position
High proficiency with the following technologies
Spark, SparkML
Big Data
Web Frameworks Flask, Django
Git and GitHub

Modeling proficiency
Linear models & descriptive statistics
Natural Language Processing
Bayesian Inference
Decision Tree Models & Boosting
Advanced time series forecasting
Linear Algebra & Spectral Methods
Deep Learning / Tensorflow / Keras
Reinforcement Learning

Must have the ability to design or evaluate intrinsic and extrinsic metrics of your models performance which are aligned with business goals
Performing hands-on software and strategy development, typically spending most of the time actually writing code, doing proof of concepts and conducting code reviews
Developing deep understanding of integrations with other systems and platforms within the supported domains
Working with technical product managers contributing to blueprints, and assisting needs and predicting of feature sets
Quickly generate and updating prototypes from concept to testing while soliciting feedback
Finalizing prototypes into functional ML components and deploy on our cloud platform
Embrace emerging standards and promoting best practices

Profile Summary:

Employment Type : Full Time
Eligibility : Any Graduate
Industry : Banking
Functional Area : IT Software : Software Products & Services
Role : Software Engineer
Salary : As per Industry Standards
Deadline : 11th Mar 2020

Key Skills:

Company Profile:

American Express Banking Corporationarfix

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