| Software Developer/Python Developer with MLOps Engineer at Pleasanton, California, USA |
| Email: [email protected] |
| Hi Recruiters, I hope you are doing well!!! We have an urgent requirement for the position of Software Developer/Python Developer with MLOps Engineer. Please go through the JD & share your updated resume if you find it interesting. PP no is mandatory for H1B. GC not workable. So please dont share GC candidate Role: Software Developer/Python Developer with MLOps Engineer Location: Pleasanton, CA (Hybrid - candidate should be okay with going into the office for team meetings from time to time.) NOTE: - Please note, the client is looking for a Python Developer with ML Ops experience. Profile we have been receiving so far are MID level candidates, the client is looking for a strong candidate, for this role client is looking for Python Developer with ML Ops experience. Profile We are seeking a versatile DevOps Engineer with a strong foundation in full stack development to join our dynamic team. In addition to your expert-level DevOps skills, we are excited to see candidates who have hands-on experience in full stack development. As a DevOps Engineer at Stanford Healthcare, you'll play a crucial role in bridging the gap between development and operations, ensuring seamless integration, deployment, and automation of our systems. Your proficiency in both areas will empower you to architect solutions that not only optimize our infrastructure but also enhance the end-to-end development lifecycle. If you possess a deep understanding of coding, architecture, and deployment processes, coupled with your proven DevOps expertise, we encourage you to bring your unique perspective and skill set to our team. Your ability to collaborate, adapt, and innovate will contribute to the growth and success of both our DevOps practices and our broader development initiatives. Design, build and maintain scalable and robust infrastructure for AI/ML systems, including cloud-based environments, containerization and orchestration platforms. Develop and implement CI/CD pipelines to automate the deployment, testing and monitoring of AI/ML models and applications. Collaborate with data scientists, data engineers and software engineers to optimize model training, deployment and inference pipelines. Monitor and troubleshoot AI/ML systems to ensure high availability, performance and reliability. Maintain and monitor model training and inference pipelines across multi-cloud tenants especially around Large Language Models (LLMs). Maintain Kubernetes pods, container registry and virtual machine image library and model registry Monitor infrastructure utilization and costs pertaining to model training, inference and GPU utilization Implement best practices for security, data privacy and compliance in AI/ML workflows and infrastructure. Evaluate and integrate new tools, technologies and frameworks to improve the efficiency and effectiveness of our MLOps processes. Mentor and provide technical guidance to junior members of the organization. Stay up-to-date with the latest advancements and trends in MLOps, DevOps and cloud technologies and share them with the team. Education Qualifications Bachelors or higher degree in Computer Science, Engineering or a related field Required Knowledge, Skills and Abilities Proven experience as an MLOps Engineer. Strong knowledge of cloud platforms such as AWS, Azure or Google Cloud and experience with infrastructure-as-code tools like Terraform or CloudFormation. Proficiency in containerization technologies such as Docker and container orchestration platforms like Kubernetes. Experience with CI/CD tools such as GitLab CI/CD, Github Actions or CiricleCI. Solid programming skills in languages such as Python, Rust or Go and experience in scripting and automation. Familiarity with machine learning frameworks and libraries such as PyTorch, Tensorflow and scikit-learn. Deep understanding of DevOps principles, agile methodologies and software development lifecycle. Strong problem-solving and trouble shooting skills, with the ability to analyze and resolve complex technical issues. Excellent communication and collaboration skills with the ability to work effectively in cross-functional teams. Thanks and regards, Rishabh Singh E: [email protected] 2N Market St,Suite # 400, San Jose, CA-95113 USA | CANADA | UK | SINGAPORE | MALAYSIA | INDIA www.e-solutionsinc.com Disclaimer: E-Solutions Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation,gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. We especially invite women, minorities, veterans, and individuals with disabilities to apply. EEO/AA/M/F/Vet/Disability. -- Keywords: continuous integration continuous deployment artificial intelligence machine learning information technology golang green card California |
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| Tue Feb 13 20:01:00 UTC 2024 |