| Need of Machine Learning Engineer at Sunnyvale, CA Day 1 OnsiteHybrid at Sunnyvale, California, USA |
| Email: [email protected] |
| From: lokesh, siri info solutions [email protected] Reply to: [email protected] Hello , Hope you are doing well!! Greeting from Siri Info Solutions. I am LOKESH with Siri Info Solutions. We Siri Info Solutions is a global staff augmentation firm providing a wide-range of talent on-demand and total workforce solutions. We have an immediate opening for the below position with one of our premium clients. Role : Machine Learning (ML) Engineer Location : Sunnyvale, CA (Day 1 Onsite/Hybrid) Duration : Long Term Skills : Work closely with the product team to regularly identify new opportunities to apply ML techniques to improve the customer experience. Develop and deploy end to end machine learning and artificial intelligence solutions, including data preprocessing, feature engineering, model training, validation, and deployment. Build ML pipelines end-to-end, including stages such as data pre-processing, model generation, model deployment, cross-validation, and active feedback. Strong expertise on Spark and Java. Develop POCs on to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on. POCs, ensuring alignment with customer requirements and expectations. Develop and deploy high-performance ML API services that are extensible and optimized for efficiency and performance. Should be able to deliver features independently. Build recommendation systems from scratch with various media types (images/ text/video/ gifs/ interactive quizzes) as input & output. Efficiently communicate with business stakeholders to make them understand AI/ML results, and limitations and set the right timeline. Devise metrics to track both engineering efficiency and ML model performance. Build monitoring capabilities for both of them. Stay updated about the latest AI/ML research relevant to our domain. Required Skills, Knowledge, Abilities, and Experience: Strong OOPS and programming development experience in languages like Python. Deep understanding of data structures and algorithms. End to end working knowledge of Life Cycle of ML Model. Proven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, exposure to open source, or similar technologies. Must have extensive knowledge of CV2, TensorFlow, PyTorch, Keras, and other deeplearning libraries. Use of Python as Data Science tool kit. Must have strong mathematical and statistical knowledge. Good knowledge of image classifiers, image captioning, image segmentation, and object detection. Good knowledge in natural language processing (NLP) and text analytics. Must have strong hands-on SQL experience. Experience with MLOps. Familiarity with cloud-based services such as Azure, GCP and AWS Ability to write clean, well-documented code that follows good coding practices. Keywords: artificial intelligence machine learning access management California |
| [email protected] View all |
| Tue Nov 21 01:07:00 UTC 2023 |