We, Salderz Inc, a reputable staffing and consulting firm, are actively seeking a talented UI/UX Designer (Axure & Figma) for our esteemed client based in Dallas, TX. Your profile showcases a strong alignment with the requirements of this role, and we are confident that you would be an excellent addition to our client's team. Kindly review the job details provided below and share your updated resume if you are interested in exploring this opportunity further.

Job Title: Machine Learning Operations Engineer (Dataiku Expertise)

Location: Reading, PA (Remote/Hybrid)

Duration: 12-Month Contract

Employment Type: Contract (C2C or W2)

Job Description:

Our direct client in Reading, PA is seeking a skilled Machine Learning Operations Engineer with expertise in Dataiku to join their team on a remote/hybrid basis for a 12-month contract. This role is ideal for a professional who excels in managing and optimizing machine learning models and pipelines, and is looking for an opportunity to work in a dynamic and collaborative environment.

Key Responsibilities:

Develop, deploy, and maintain machine learning models and pipelines using Dataiku.
Collaborate with data scientists, data engineers, and business stakeholders to understand requirements and deliver solutions.
Implement MLOps best practices to ensure scalable and reliable model deployment.
Monitor and optimize the performance of machine learning models in production.
Troubleshoot and resolve issues related to model deployment and operations.
Automate workflows and improve efficiency through scripting and tools.
Ensure compliance with data governance and security policies.

Qualifications:

Proven experience as a Machine Learning Operations Engineer or in a similar role.
Strong expertise in Dataiku, including its deployment and operational aspects.
Proficiency in programming languages such as Python or R.
Experience with cloud platforms (AWS, Azure, or Google Cloud).
Familiarity with CI/CD pipelines and version control systems (e.g., Git).
Solid understanding of machine learning concepts and techniques.
Excellent problem-solving and troubleshooting skills.
Strong communication and collaboration abilities.

Preferred Qualifications:

Experience with other MLOps tools and frameworks.
Background in data engineering or software engineering.
Familiarity with Kubernetes and Docker for containerization.
Knowledge of big data technologies like Hadoop or Spark.

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