| Urgent hiring for MLOps Engineer || Location: Plano, TX (Onsite) || Client: BNSF || No /CPT Visa.!! at Plano, Texas, USA |
| Email: [email protected] |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=995657&uid= Title: MLOps Engineer Location: Plano, TX (ONSITE) Duration: 12-24+ months Contract NOTE: Experience Required: 10+ years Skills: TensorFlow, PyTorch, Keras, Databricks, Vertex AI, RapidMiner, MLFlow, Driver H20, Azure Cloud Ecosystem Job Description: Skills and Experience: 2+ years of experience with Cloud Engineering / Services. 3+ years of work experience as a backend software engineer in Python with exceptional software engineering knowledge. Experience with ML workflow orchestration tools: Airflow, Kubeflow etc. Advanced working knowledge of object-oriented/object function programming languages: Python, C/C++, Julia. Experience in DevOps: Jenkins/Tekton etc. Experience with cloud services, preferably Google Cloud Platform Services like Vertex AI, Cloud Function, BigQuery etc. Experience in container management solution: Kubernetes, Docker Experience in scripting language: Bash, Power etc. Experience with Infrastructure as code: Terraform etc. Familiarity with Databricks, ML Flow, Driver H20 and Azure cloud ecosystem. Strong expertise in generative AI techniques, such as GANs, VAEs, and Transformer models. Proficiency in popular AI/ML frameworks and libraries, such as TensorFlow, PyTorch, Keras, and scikit-learn. Experience in designing, developing, and implementing end-to-end AI solutions for real-world applications. Excellent communication and interpersonal skills, with the ability to work effectively with diverse stakeholders. Strong decision-making and problem-solving abilities, with a focus on pragmatic and efficient solutions. Experience in consulting, with a proven track record of providing actionable advice and guidance to customers. 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. Hands-on experience with advanced machine learning, data mining, statistical inference, mathematical modeling and deep learning techniques. Communicate effectively with both technical and non-technical stakeholders, translating complex AI concepts into clear, understandable language. Provide expert guidance and advice as a consultant to help customers maximize the value of their generative AI investments. Monitor and evaluate the performance of generative AI models, identify areas for improvement, and implement strategies to optimize solutions. Stay current with the latest advancements in generative AI, machine learning, and related technologies, and incorporate new ideas and techniques into the team's work. Mentor and guide junior team members in adopting generative AI technologies and best practices. Regards, Sucheta Chauhan Direct Voice: (201) 484 7129 [email protected] LinkedIn: linkedin.com/in/sucheta23 Voto Consulting LLC | http://www.votoconsulting.com 1549 Finnegan Lane, 2nd floor, North Brunswick, NJ 08902 Keywords: cprogramm cplusplus artificial intelligence machine learning New Jersey Texas http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=995657&uid= |
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| 08:42 PM 09-Jan-24 |