| Looking for MLOps Engineer - HOUSTON (US:77004), TX - Remote at Houston, Texas, USA |
| Email: [email protected] |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=1147908&uid= 8-10 years of experience required A passport number and LinkedIn is mandatory. Hello, I hope you are doing good, I have the below open position with our client, please find the job description below and let me know if youre interested, please send me a copy of your updated resume ASAP. Title: MLOps Engineer Type: Contract Location: HOUSTON (US:77004), TX - Remote Key Responsibilities: Architect, develop, and maintain advanced ML platforms within an end-to-end MLOps framework. Optimize model development and streamline deployment workflows. Design and implement scalable infrastructure solutions for high-performance computing and large-scale data processing. Establish CI/CD pipelines for automated training, testing, and deployment (end-to-end solutions) . Collaborate with cross-functional teams, including Data Science, DevOps, and Product, synchronizing MLOps strategies with overarching corporate objectives. Create stories and visualizations to describe and communicate technical concepts in a simple manner. Work closely with product management to understand product vision and user engagement strategy for the Managed Insights Team. Provide regular updates to key stakeholders about progress, roadblocks, and risks. Act as subject matter expert through internal training and demonstration of key product functionality for support, sales, onboarding, and other cross-functional teams. Implement quick and effective action plans to meet short-term priorities and emerging opportunities. Influence decision making and problem solving across . Conduct A/B testing and experimentation. Knowledge and Skills: Minimum: Expert knowledge of Python, Spark, and SQL. Strong experience in cloud computing and MLOps, especially tools such as AWS (SageMaker, EMR, Redshift, S3, Lambda), Docker, Airflow, GitHub, Azure DevOps, and Jira. Strong analytical and problem-solving skills. Fluency in structured and unstructured data, its management, and modern ETL methodologies. Deep understanding of current machine learning concepts and tools. Ability to deal with ambiguity and work collaboratively in a fast-paced environment. Ability to work efficiently in both virtual and in-person team environments. Hands-on technical skills with the inquisitiveness to learn products, experiment with them, and provide recommendations to drive continuous improvement. Ability to both works independently and collaborate cross-functionally in a global and multicultural environment. Ability to manage multiple work streams effectively and provide timely updates to leadership. Comfort with working in new areas that require experimentation and rapid problem solving. Preferred : Deep experience using AWS SageMaker tools for MLOps, such as Experiments, Model Registry, Pipelines, Model Monitor, Canvas, and Clarify Experience in one or more machine learning frameworks, such as Tensorflow/Keras, PyTorch, Scala, Spark MLlib, and/or Scikit-Learn Experience with other MLOps and DevOps platforms, such as Azure, Google Cloud, MLflow, KubeFlow, Jenkins, Splunk, Kafka, and Terraform In-depth knowledge of one or more applications of deep learning, such as generative AI (ex. LLMs), recommendation systems, or computer vision. Understanding of security and compliance requirements in ML infrastructure. Experience with Microsoft Graph API. Education and Experience: Masters degree or Ph.D. in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, Physics, etc.). 4+ years of industry experience. -- Thanks and Regards, Aditya Srivastava Technical Recruiter | Talent Junction LLC 2060 Walsh Avenue,Suite 122, Santa Clara, CA 95050 Direct #: | E-mail Id: [email protected] -- Keywords: continuous integration continuous deployment artificial intelligence machine learning sthree information technology California Idaho Texas http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=1147908&uid= |
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| 11:23 PM 22-Feb-24 |