• United States Of America, Usa

Job Description:

Machine Learning (ML) Solutions Engineer - 76331 Location Austin, Texas, US

Company Advanced Micro Devices

What you do at AMD changes everything

At AMD, we push the boundaries of what is possible We believe in changing the world for the better by driving innovation in high-performance computing, graphics, and visualization technologies building blocks for gaming, immersive platforms, and the data center

Developing great technology takes more than talent it takes amazing people who understand collaboration, respect, and who will go the extra mile to achieve unthinkable results It takes people who have the passion and desire to disrupt the status quo, push boundaries, deliver innovation, and change the world If you have this type of passion, we invite you to take a look at the opportunities available to come join our team

THE ROLE

AMD is in the process of deploying Machine Learning pervasively for all their internal workflows The Advanced Analytics and Machine Learning team is an internal AMD team chartered to drive the Machine Learning (ML) deployment across AMD globally We are in need a strong engineering player to deliver the Data Science and Machine Learning (ML) solutions to end-customers within AMDs large Design and Engineering teams that are involved in VLSI, SW, Manufacturing spaces

THE PERSON

The person will work closely with other Central teams for IT/Infra, Electronic Design Automation (EDA) vendor and inhouse tools For Commercial applications the person is expected to work with SAP or SalesForce for Sales/Mktg/Operations to design and deliver the ML predictions The person will become the expert in one or more for ML modeling, consulting and trouble shooting within the Company while working with SW or Engg Architects to craft long term solutions

IDEAL CANDIDATE WILL HAVE

Coding/scripting experience in a product setting or a large SW system written in modern languages
In-depth knowledge of software development lifecycle, Quality, SW practices including debug, test, version control, documentation, and bug tracking
Data Modeling and Database formats and schemas
Familiarity with Machine-Learning foundations (Frameworks, Datasets, Models and Model management)
Familiarity with Supervised Learning, Model evaluation metrics, and cross-validation
Familiarity and use of different ML/DL/RL algorithms, deep neural network machine learning technologies and modern machine learning programming frameworks
Build ML solutions that require minimal maintenance overhead Automating where possible and driving process owners to provide necessary inputs
Elaborate and build upon established dashboard, data nomenclature, and modeling standards to enable a more cohesive delivery mechanism for analysis across the entire organization Work closely with other Central teams
Time Series and Forecasting analysis in any discipline
Exposure to VLSI Design practices and SW/Driver releases and Games
Knowledge of Natural Language Processing techniques

LANGUAGES AND CODING

Hands-on experience with modern programming languages (Python, C/C , Perl, Scala, Java, Unix)
Hands-on experience with one or more major machine learning framework (TensorFlow, PyTorch, Scikit, Spark-ML etc)
Hands-on experience with Data Mining Tools such as Knime, Alteryx, PowerBI, Pandas, etc
Knowledge of Perforce, github, bitbucket, and other DevOps tool chain
Knowledge/use of SQL, DAX, JSON, Parquet
Knowledge/use of common APIs REST, Flask, etc
Modeling MS Tabular, others

SOFT SKILLS

Ability to work independently, define project goals and scope, and lead your own development effort
Proven interpersonal skill, technical leadership and collaborative teamwork required ; strong in Analytical skills
Must demonstrate excellent problem-solving skills and the ability to manage complex problems involving multi-disciplined, cross-functional teams
Good written and oral communication skills
Ability to work well with geographically dispersed teams in APAC and NA
Eager to share information and knowledge with other team members and level up the team

EDUCATION & EXPERIENCE

Bachelors, Masters, or PhD or equivalent experience in Computer Science, EE/Computer Engineering or any related physical field
Specialization in Maths, Statistics and Optimization based solutions

PLUS

Understanding of Cloud technologies of IaaS, PaaS and other subscription based services
Knowledge of Parallel-Computing, GPUs, and High-Performance-Computing GPU acceleration (OpenCL, CUDA, etc)
Ability to understand and document customer machine learning needs and propose solutions
Collaborate with Business Partners as well as Data Architects to deliver an accurate and understandable self-service data model
Experience working with and developing virtualization containers and package managers for code deployment and or distributed computing using Docker, Singularity etc
As a senior member of the team, you will also be responsible for code reviews, creating unit tests, authoring detailed documentation related to your work, and working with on-site and off-shore teams to deliver the software solutions on schedule
As a senior member in the team, you will be required to play a key role in all phases of the software development including system requirements analysis, coordinating feature design and development across functional and organization boundaries
Evangelize AMD machine learning solutions through presentations to customers, partners and the community seminars

#LI-LS1

Requisition Number 76331
Country United States State Texas City Austin
Job Function Information Technology

AMD does not accept unsolicited resumes from headhunters, recruitment agencies or fee based recruitment services AMD and its subsidiaries are equal opportunity employers We consider candidates regardless of age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status Please click here for more information

Profile Summary:

Employment Type : Full Time
Eligibility : Any Graduate
Industry : IT-Hardware/Networking
Functional Area : IT Software : Software Products & Services
Role : Software Engineer
Salary : As per Industry Standards
Deadline : 18th Apr 2020

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