| AI/ML Engineer :::: (Hybrid - Dallas, TX) at Dallas, Texas, USA |
| Email: [email protected] |
|
http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=959361&uid= Title: AI/ML Engineer Visa: NO H1B and CPT Location: Hybrid - Dallas, TX Duration: 12+ Months MOI -- Job Details Skills: Python, Data Science, Data Engineering, MLOPS, FastAPI, Pandas, TensorFlow, xgBoost, PySpark, Big Query, CI/CD, ML Frameworks, Google Cloud Eco System Client is looking for an experienced AI/ML Engineer, to design, develop, and implement generative AI architectures, models, and solutions that meet customer needs and align with industry best practices. Skills and Experience_ Experience as a ML Engineer, with fluency and experience in Python, Data Science, Data Engineering & MLOPS Knowledge in RESTful API design and implementation Experience of Web framework like FastAPI/Tornado/Flask etc. Data Science knowledge and familiarity with ML libraries such as Pandas, Scikit, TensorFlow, xgboost, time series frameworks like prophet/or equivalent frameworks In-depth of big data frameworks like Pyspark & Google Cloud Platform tools like data proc, data proc serverless Experience designing, building and operating productions grade ML applications Knowledge of design patterns and architecture, data science, and machine learning best practices Experience with relational databases like Big Query, cloud environments, and a good understanding of optimizing storage cost/query cost while designing data engineering workflows Good knowledge of Kubernetes, container technologies, docker registries, and applying them in the context of machine learning systems Working knowledge of ML frameworks, such as Vertex, Kubeflow, MLflow, CloudRun etc. Experience in designing post-deployment model management framework e.g. model monitoring tools, workflows for feature drift, error analysis of models Proficiency with CI/CD tools, especially Jenkins Experience in designing CI/CD pipelines (Jenkins) for deployment of Data Engineering and ML jobs workflow Hands-on experience in orchestration frameworks like Airflow, Cloud Composer, DataProc Serverless for Pyspark jobs etc. In-depth understanding of Google Cloud ecosystem for Data Engineering & MLOps - cloud composer, dataproc, dataproc serverless, big query, cloudrun, vertex, vertex pipelines, GKE Experience in designing MLOps platforms and architect big data systems on Google Cloud Platform cloud Responsibilities_ Collaborate closely with customer stakeholders to understand their requirements, goals, and expectations for generative AI solutions. Design, develop, and implement generative AI architectures, models, and solutions that meet customer needs and align with industry best practices. Work cross-functionally with other teams, including data engineers, software developers, and project managers, to ensure the successful delivery of end-to-end AI projects. Lead the decision-making process for technical and architectural choices, ensuring that solutions are scalable, maintainable, and cost-effective. Balraj Singh, Technical Recruiter Jersey City, NJ 07307 Email: [email protected] Web: www.votoconsulting.com This e-mail and any files transmitted with it are for the sole use of the intended recipient(s) and may contain confidential and privileged information. If you are not the intended recipient(s), please reply to the sender and destroy all copies of the original message. Any unauthorized review, use, disclosure, dissemination, forwarding, printing or copying of this email, and/or any action taken in reliance on the contents of this e-mail is strictly prohibited and may be unlawful. Where permitted by applicable law, this e-mail and other e-mail communications sent to and from Voto LLC e-mail addresses may be monitored. Keywords: continuous integration continuous deployment artificial intelligence machine learning information technology New Jersey Texas http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=959361&uid= |
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| 10:31 PM 21-Dec-23 |