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Framingham

    Software Engineer III - Framingham, United States - Staples

    Staples
    Staples Framingham, United States

    Found in: beBee S2 US - 2 weeks ago

    Default job background
    Paid Work
    Description

    Staples is business to business. You're what binds us together.

    Our digital solutions team is more than a traditional IT organization. We are a team of passionate, collaborative, agile, inventive, customer-centric, results-oriented problem solvers. We are intellectually curious, love advancements in technology and seek to adapt technologies to drive Staples forward. We anticipate the needs of our customers and business partners and deliver reliable, customer-centric technology services.

    Staples' Order Management and Supply Chain Systems team enables scalable, efficient, and intelligent order and delivery solutions, and exceptional customer experience through our expertise in business domains and technologies. We are taking a platform re-engineering approach to consolidate, modernize, and simplify legacy applications by standardizing interfaces, building micro-services, and/or integrating with 3rd party software that'll effectively reduce tech debt and vendor footprint, and improve time to market and service levels.

    What you'll be doing:

    We are looking for dedicated machine learning engineer to help reimagine our systems from the ground up. We need talented people to help design the next generation of technology applications. You are hands-on and will be developing predictive algorithms producing high-level architecture designs, building, and operating services at scale. You will be partnering with a team Software/Data/ML/Applied engineers for building high performing applications that interact with large scale distributed systems.

    What you bring to the table:

    • Instill best practices in development of algorithms, design, build, and maintain systems that deals with streaming big data for analytics and Machine learning use cases.
    • Experience in working in teams in a Dev/ML Ops culture
    • Experience with machine learning fundamentals.
    • Participate in all phases of software development including concept, design, prototyping, and production release
    • Experience with Big Data solutions and knowledge of machine learning fundamentals.

    What's needed- Basic Qualifications

    • BS in Computer Science, Computer Engineering, Industrial Engineering/OR or related field
    • 5 years of professional software engineering experience with the following experience:
    • Development and design of large-scale big data systems that perform complex event processing, machine learning and/or data mining
    • Reinforcement Learning and Combinatorial Optimization
    • Diagnostic, debugging, and troubleshooting skills
    • Building applications on one or more public Cloud Platform (e.g. Azure, AWS)
    • Designing and implementing highly reliable, fault-tolerant distributed ML applications with focus on ML Operations

    What's needed- Preferred Qualifications

    • Strong scripting skills in a Linux/Unix environment (e.g.: Bash, Python, Perl)
    • Experience working with RDBMS and NoSQL data stores on-premise and in the Cloud (e.g. SQL Server/Azure, PostgreSQL/Azure, MongoDB, MySQL, Cosmos DB/Azure, Aurora/AWS, Teradata, Oracle)
    • Experience working with data processing frameworks (e.g. Hadoop, Spark, Kafka) a plus
    • Prior experience building demand forecasting platforms
    • Any involvement of hands-on work doing applied research a plus

    We Offer:

    • Flexible PTO (22 days) and Holiday Schedule (7 observed paid holidays)
    • Online and Retail Discounts, Company Match 401(k), Physical and Mental Health Wellness programs, and more

    We Offer:

    • Inclusive culture with associate-led Business Resource Groups
    • Flexible PTO (22 days) and Holiday Schedule (7 observed paid holidays)
    • Online and Retail Discounts, Company Match 401(k), Physical and Mental Health Wellness programs, and more

    Staples is an Equal Opportunity Employer.

    All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender idenity, sexual orientation, age, national origin, protected veteran status, disability, or any other basis protected by federal, state, or local law.

    For individuals with disabilities that need additional assistance at any point in the process, please call for more information.


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