Machine Learning Engineer 5

Key Skills

Aartificial intelligence, Algorithms, Azure, Caffe, Common data structures, Employee life cycle, Java Programming, Machine learning techniques, Python Programming, Software Development, SPARK Programming, TensorFlow

Job Description

The development engineer will be part of a team working on development, operations and support of Adobe’s Sensei Platform group. He/She will be responsible for development of new features and maintenance of existing features and will be responsible for all phases of development, from early specs and definition to release. He/She is expected to be hands-on problem solver and well conversant in analyzing, architecting and implementing Golang/python/Java based world class high quality software. Recognizing that employees are at the core of our success, Adobe recruits and retains highly qualified and motivated individuals, creates an environment where they can innovate and achieve their best, and rewards them for their performance by giving them an opportunity to share in the company’s success. Prior experience on ML solutions and cloud platform services, workflow orchestrators, data pipeline solutions would be a plus.

Responsibilities

• This is an individual contributor position.
• Hands on product/solution development knowledge are a must.
• The position involves conceptualization of a product, design, development, debugging/triaging, deployment at scale, monitoring, analyzing, etc
• Planning, effort estimation and risk analysis of a project.
• The incumbent will plan, evaluate industry alternatives, design and drive new layers, solutions, workflow, features, etc
• Focus all above for current or future products.
• He should be intelligent to analyze the business constraints and provide competent alternatives and phased approaches
• He should take initiatives to drive frugality though optimizations without compromising stability or resiliency.

Requirements

• Tech / M.Tech degree in Computer Science from a premiere institute.
• Should have 9 - 14 years of experience in software development.
• Should have excellent computer science fundamentals and a good understanding of architecture, design and performance.
• Should have good knowledge of product security domain
• Proficient in Java/Python, data structure and algorithm.
• Should be hands-on in writing code that is reliable, maintainable, secure, performance optimized, multi-platform and world-ready
• Ability to work independently with strong problem solving skills.
• Good understanding of object oriented design and knowledge of product life cycles and associated issues.
• Technical depth in operating systems, computer architecture and OS internals.
• Technical depth in Cloud Computing, Cloud Platforms and Services architecture and design

Good To Have

• Foundational knowledge in, and fundamentals of Machine Learning and Artificial Intelligence
• Experience with ML Lifecycle, AI Ethics, ML Frameworks like TensorFlow, Caffe, Torch, and other similar frameworks
• Experience with Amazon Web Services, Microsoft Azure, Google Compute Engine
• Experience with Apache Spark
• Experience with cluster managers and frameworks like Kubernetes

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