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    Machine Learning Engineer/Architect AWS - Stuttgart, Deutschland - Devoteam

    Devoteam
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    Beschreibung

    Unternehmensbeschreibung

    We promote your personal growth, joint success and new innovations.

    We are an international consulting firm with over 25 years of experience and over 10,000 tech and business experts. Our focus is on digital strategy, platform technologies, cybersecurity and business transformation. As a strategic partner of leading cloud providers such as AWS, Google, Microsoft, ServiceNow and SAP, we bring digital visions to life together with you.

    We offer you the opportunity to develop personally and become part of a successful team. We create an inspiring, modern working environment in which innovation and your creativity are encouraged.

    Discover the world of Devoteam and apply today

    Creative Tech For Better Change

    #Consulting #AWS #Cloud #ML

    Your benefits: In addition to our revolutionary work culture of New Way of Work:

    • Modern offices in top locations in Munich, Frankfurt and Stuttgart
    • Flexible remote or hybrid working with the possibility to adapt your working hours and locations to your individual needs.
    • Our Devoteam Academy offers you a wide range of certified training and language courses
    • International development opportunities for your career boost at Devoteam
    • Gaming lounge for your creative break between meetings and calls
    • Get-together parties and team events for regular exchange and fun with your colleagues
    • Employee bonuses for recruiting new employees
    • Modern IT equipment - choose the right product for you from a wide range of options
    • Corporate benefits with a large selection of numerous offers for almost every area
    • Job bike offers with attractive tax advantages for you
    • Company pension scheme, direct insurance and capital-forming benefits are available to you as additional benefits
    • Integration Day incl. mentoring programmes for your perfect start at Devoteam

    Stellenbeschreibung

    Are you eager to lead in the Machine Learning and AI space? Does the prospect of utilizing state-of-the-art Generative AI algorithms to tackle real-world challenges with profound impact excite you?

    As a Machine Learning Engineer or Architect (m/w/d) , you will be responsible for providing expert guidance and technical leadership to customers as they navigate the complexities of ML solutions on AWS . You will collaborate with cross-functional teams, including engineers, data scientists, and product managers, to design and implement cutting-edge ML solutions that address the unique needs of our customers. We are dedicated to assisting customers in deploying ML and Generative AI solutions to unlock transformative business possibilities. We help customers in envisioning and defining the use cases that will deliver the highest value to their enterprises, selecting, training, and refining the appropriate models, identifying solutions for technical or business hurdles, creating proof-of-concepts, and strategizing the deployment of solutions on a large scale. Our team offers expert advice on best practices for applying generative AI in a responsible and cost-effective manner.

    In this role, you will engage directly with clients and innovate within a dynamic organization that is making significant contributions to revolutionary projects and technologies. Your role will involve advising clients on best practices, troubleshooting technical issues, and delivering exceptional consulting services. We are on the lookout for exceptional architects, system, and software engineers proficient in ML, Generative AI, and other methodologies to design, advocate, execute, and refine cutting-edge solutions for unprecedented challenges.

    What awaits you:

    • Use ML and Generative AI tools, such as Amazon SageMaker, Amazon Bedrock and Amazon Q, to provide a scalable cloud environment for our customers to label data, build, train, tune and deploy their models
    • Collaboration with an international team of experts to develop, design, implement and refine scalable AI/ML and Generative AI solutions for business issues using AWS technologies.
    • Directly engage with customers to comprehend their business problems, assisting them in the implementation of their ML ecosystem.
    • Opportunity to advise customers in building scalable ML pipelines AWS and how to set up MLOps.
    • Troubleshoot technical issues and optimize system performance.
    • Deliver workshops and presentations to educate customers on AI/ML concepts and AWS capabilities.

    Qualifikationen

    • Bachelor's or Master's degree in Computer Science, Engineering, or related fields.
    • Experience designing and implementing AI/ML solutions using AWS technologies.
    • Proven experience in AI/ML consulting or similar roles, preferably in cloud-based solutions.
    • Proficiency in Python and familiarity with ML frameworks (TensorFlow, PyTorch, etc.).
    • AWS certifications (e.g., AWS Certified - Solutions Architect Associate, Developer Associate, Data Engineer Associate, Machine Learning - Specialty).
    • Strong problem-solving and analytical skills.
    • Stay up to date with the latest advancements in AI/ML and AWS.
    • Excellent communication and interpersonal skills.

    If you are passionate about using cutting-edge technologies to solve complex data challenges and enjoy working with customers to deliver solutions that meet their business needs, we encourage you to apply for this exciting opportunity as a Senior Data Consultant in our AWS team.

    Zusätzliche Informationen

    Get in touch with our recruiting team

    Through our open corporate culture, we place great emphasis on giving people the chance to apply, even if they don't meet all the specific skills in the job description. We are convinced that each individual can develop his or her full potential with our support and a motivated team.

    We look forward to receiving your application

    Recruiting Team
    Devoteam Germany

    [email protected]

    You can find further job offers on:

    #J-18808-Ljbffr


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