| Data Scientist Remote 10 YOE at Remote, Remote, USA |
| Email: [email protected] |
| From: Balaji, TTDATAS [email protected] Reply to: [email protected] Hi ALL, Greetings from TTData LLC..!! I hope you are doing well. I do have a job opening for Data Scientist position for our client based out at Remote. Please find the below requirement kindly share me updated profile along with contact details asap. Role: Data Scientist Location: Remote Job Summary: Building artificial intelligence (AI) systems that leverage huge data sets to generate and develop algorithms capable of learning and eventually making predictions. Strong understanding of Natural Language Processing (NLP) concepts including text classification, sentiment analysis, entity resolution etc. Experience working on large databases using SQL and have strong working experience in Machine Language with Advance ML knowledge. Excellent communication skills and Ability to work in a team Roles & Responsibilities: Developing algorithms and models that enable computers to learn and make predictions or decisions autonomously. Researching, building, and designing the artificial intelligence responsible for machine learning and maintaining and improving existing artificial intelligence systems. Strong Onshore lead should work independently with business stakeholders and Al/ML consumers. Coordinate with Business and gather requirement and assign task to offshore and monitor the project health. To research, modify, and apply data science and data analytics prototypes. To create and construct methods and plans for machine learning. Employing test findings to do statistical analysis and improve models. To search internet for training datasets that are readily available. ML systems and models should be trained and retrained as necessary. To improve and broaden current ML frameworks and libraries. To create machine learning applications in accordance with client or customer needs. To investigate, test, and put into practice appropriate ML tools and algorithms. To evaluate the application cases and problem-solving potential of ML algorithms and rank them according to success likelihood. To better comprehend data through exploration and visualization, as well as to spot discrepancies in data distribution that might affect a model's effectiveness when used in practical situations. Thanks & Regards Balaji V Disclaimer: Under Bills.1618 Title III passed by the 105th U.S. Congress this mail cannot be considered spam as long as we include contact information and a REMOVE link for removal from our mailing list. To be removed from our mailing list reply with "remove" and include your "original email address/addresses" in the subject heading. We will immediately update it accordingly. We apologize for the inconvenience if any caused Keywords: artificial intelligence machine learning information technology Alabama Data Scientist Remote 10 YOE [email protected] |
| [email protected] View all |
| Thu Aug 29 23:42:00 UTC 2024 |