What are the responsibilities and job description for the Sr ML Engineer position at NTT DATA?
Job Description
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.
- ssess 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
- bility to collaborate with technical and business teams to identify specific business opportunities and use data to support decision making.
- bility to work within a fast-paced environment with quickly changing priorities. Work independently or on a team.
- bility 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
bout NTT DATA Services:
NTT DATA Services is a recognized leader in IT and business services, including cloud, data and applications, headquartered in Texas. As part of NTT DATA, a $30 billion trusted global innovator with a combined global reach of over 80 countries, we help clients transform through business and technology consulting, industry and digital solutions, applications development and management, managed edge-to-cloud infrastructure services, BPO, systems integration and global data centers. We are committed to our clients' long-term success. Visit nttdata.com or LinkedIn to learn more.
NTT DATA Services is an equal opportunity employer and considers all applicants without regarding to race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic protected by law. We are committed to creating a diverse and inclusive environment for all employees. If you need assistance or an accommodation due to a disability, please inform your recruiter so that we may connect you with the appropriate team.