| ML Engineer - Remote at Remote, Remote, USA |
| Email: [email protected] |
| From: Arthideepa Mohan, Exaways [email protected] Reply to: [email protected] Please share linkedin Along with resume. 1. C2C Exp: 10+Yrs Job Role: ML Ops Engineer Job Description: The MLOps engineer should have 5+ years of experience in Python Pandas, Spark and will have experience building large-scale data pipelines Experience in Seldon, Triton, Jenkin CI/CD One year of experience in Big data technologies such as BigQuery, Hadoop, SQL, Hive, GCP/Azure, Java, REST (nice to have) In your day-to-day responsibilities: 1. Design & create the data pipelines and engineering infrastructure to support our clients enterprise machine learning systems at scale 2. Take models that data scientists built and turn them into a machine learning production system 3. Develop and deploy scalable tools and services for our clients to handle machine learning training and inference 4. Identify and evaluate new technologies to improve the performance, maintainability, and reliability of our clients machine learning systems 5. Apply software engineering rigor and best practices to machine learning, including CI/CD, automation, etc. 6. Support model development with an emphasis on auditability, versioning, model measurement and data security 7. Interpret the results of the models, read data on a fundamental level, and understand how it relates to the problem being solved by the model. 8. Monitor the performance of your models, and need to be able to troubleshoot any errors or bugs that may occur. 2. C2C Exp: 12+Yrs ML Engineer Lead Job Description: We are seeking a talented Technical Lead to drive development and adoption of AI Solutions. In this role you will contribute to product roadmap, product design , development and onboarding of users to the platform. Your primary responsibility will be to lead development & adoption of Generative AI solutions that focus on technology improvements such as Technology Assistants & Data Management Efficiencies. Responsibilities: - Collaborate with cross-functional teams such as Data Scientists, Core Development Team and Partner Team Developers to identify requirements and orchestrate development work across team(s) by contributing to design, development and testing. - Design and develop Engineering Solutions & generative AI Applications for above ensuring scalability, efficiency, and maintainability of such solutions. - Assist for Product Roadmap creation & define product requirements. - Assist for adoption and promotion of the platform such as conducting open office hours, white-gloving team(s)onboarding etc - Write clean, high-performance, high-quality, maintainable code. - Implement prompt engineering techniques to fine-tune and enhance LLMs for better performance and application-specific needs. - Stay abreast of the latest advancements in the field of Generative AI Application Development and actively contribute to the research and development of new Generative AI Applications. Requirements: - A Master's or Ph.D. degree in Computer Science or a related field. - Proven experience working for a startup or Product leading development and adoption of the product or a platform. - Strong proficiency in programming languages such as Java, Python, ML Platforms, LLMs, Machine Learning etc - Experience in development of technical products or platforms for large enterprises. - Solid knowledge of software engineering best practices, including version control systems (e.g., Git), code reviews, and testing methodologies. - Experience with large language models (LLMs) & prompt engineering techniques, vector DB's ( Nice to have ) - Strong communication skills to effectively collaborate and present findings to both technical and non-technical stakeholders. - Proven ability to adapt and learn new technologies and frameworks quickly. - A proactive mindset with a passion for continuous learning and research. Keywords: continuous integration continuous deployment artificial intelligence machine learning database information technology ML Engineer - Remote [email protected] |
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| Tue Jun 18 02:31:00 UTC 2024 |