| Sr Machine Learning Engineer Hybrid role in TX No H1B, OPT at Remote, Remote, USA |
| Email: [email protected] |
| From: ayush, istaff [email protected] Reply to: [email protected] Hi, Hope so you are doing Good!!! Please find the Job Description. If you feel comfortable yourself then send me your updated resume or call me back on 575-236-4255. Sr Machine Learning Engineer Hybrid set up (2 days onsite in Frisco TX) Client is TIAA CREFF NO H1B, OPT, CPT Prefers 8+ years of total experience in IT with 3+ years of experience as ML Engineer We are currently seeking a Senior Machine Learning Engineer to join our team in Frisco, TX. Job Description: Performs complex data research and analysis to support business and technology operations. This job involves developing data mining and data analysis methodologies and creating algorithms and predictive models, while also performing custom statistical reporting and analysis based on organization need. Along with the creation of new models, there will also be the need to internalize, understand, support, and maintain models created by other internal or external teams. The job will potentially review the modelling work of others and will partner with other team members and other teams to implement new models and methodologies as needed. You will collaborate with a team of other Data Scientists, Software Engineers, and Data Analysts to build, implement, and maintain new models. Key Responsibilities and Duties: Understand and participate in the end-to-end Client Operations life cycle Work with product owners, peers, and leadership to establish objectives for Client/AI efforts Develop and implement data mining protocols, architectures, and models as well as data analysis methodologies to identify trends in large data sets. Assess accuracy of model performance, accuracy of statistical reporting, interpretation of data to generate insights, and create data visualizations to better understand client relationships and improve client services and product offerings. Communicate insights from analysis to management in order to enable data driven decision making to improve business performance and operational outcomes based on machine learning and statistical analysis results. Research and stay up to date on existing and emerging innovations related to machine learning Maintain models, assess degradation, and retrain or implement changes to improve model performance over time Document all steps within the modelling and development processes In all facets, being a problem solver whether it's a technical issue, a process problem, or helping with a business problem Identify areas of opportunity and risk related to our data, models, and our unique business problems Become a subject matter expert and collaborate with other stakeholders to enhance offerings. Document learnings and establish a training and mentoring routine for junior team members. Required Qualifications: Bachelor's Degree Required; Master's Degree Preferred 3-Years Required; 5-years Preferred Proficiency with Python and associated data science libraries Experience in data modeling and schema design SQL experience and command of query design and optimization Knowledge of different types of databases (e.g. relational, document, key/value) as well as experience with particular implementations and cloud versions such as Snowflake Machine learning background with an understanding of the following areas: supervised and unsupervised learning methods, reinforcement learning, deep learning, Bayesian inference, graphical modeling, or nonlinear/stochastic optimization Experience in deployment and maintenance of models in a production environment Ability to collaborate with technical and business teams to identify specific business opportunities and use data to support decision making. Ability to work within a fast-paced environment with quickly changing priorities. Work independently or on a team. Ability to exercise judgment as it relates to business decisions and their effects on stakeholders. Critical thinking skills. Must be a fast learner and willing to learn independently The right candidate for this job is a problem solver who can also consult with business partners to solve business problems with their expertise and tools at hand Preferred Qualifications: Data science and machine learning platforms like SageMaker, Domino Data Lab Client models using Deep Learning frameworks like TensorFlow Experience building & deploying Client products over GCP and/or AWS Financial Industry background Customer Experience and Customer Journey models Ayush Kumar | iStaffX LLC. IT Recruiter , Email: [email protected] Phone: 575-236-4255 Website - https://istaffx.com/ Keywords: artificial intelligence machine learning information technology Texas |
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| Mon Feb 27 19:47:00 UTC 2023 |