Position Summary...Provides overall direction by analyzing business objectives and customer needs; developing, communicating, building support for, and implementing business strategies, plans, and practices; analyzing costs and forecasts and incorporating them into business plans; determining and supporting resource requirements; evaluating operational processes; measuring outcomes to ensure desired results; identifying and capitalizing on improvement opportunities; promoting a customer environment; and demonstrating adaptability and sponsoring continuous learning. Develops and implements strategies to attract and maintain a highly skilled and engaged workforce by diagnosing capability gaps; recruiting, selecting, and developing talent; supporting mentorship, workforce development, and succession planning; and leveraging the capabilities of new and existing talent. Cultivates an environment where associates respect and adhere to company standards of integrity and ethics by integrating these values into all programs and practices; developing consequences for violations or non-compliance; and supporting the Open Door Policy. Develops and leverages internal and external partnerships and networks to maximize the achievement of business goals by sponsoring and leading key community outreach and involvement initiatives; engaging key stakeholders in the development, execution, and evaluation of appropriate business plans and initiatives; and supporting associate efforts in these areas.
What you'll do...
- Architect and develop machine learning solutions given an abstract business problem.
- Perform hands-on data exploration, processing, and analysis on massive data sets.
- Use state-of-the-art machine learning, deep learning, and data mining techniques to develop proof-of-concept predictive models.
- Lead MLOPs lifecycle from end-to-end, including solution design, feature engineering, solution development, tools, testing, tuning, and monitoring.
- Design scalable, low-latency services to host predictive models; productionize prototypes on the cloud
- Demonstrate strong thought-leadership and consult with product and business stakeholders to build, scale and deploy holistic data science products.
- Research and develop advanced algorithms and techniques that address complex business problems.
- Utilize the broad and deep knowledge of Machine Learning and Software Engineering to contribute to the team's core machine learning capabilities.
- Mentor and guide Principal and Staff data scientists in achieving data science outcomes and handle multiple products and initiatives.
- Follow industry best practices, stay up to date with and extend the state of the art in machine learning research and practice, drive innovation by contributing towards publications and patents.
- Participate in internal technical councils and represent the organization in forums that involve community of data scientists across industry and academia.
- Promote and support company policies, procedures, mission, values, and standards of ethics and integrity.
Minimum Qualifications...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Minimum Qualifications:Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and6 years’ experience in software engineering or related area.
Option 2: 8 years’ experience in software engineering or related area.
Preferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Master’s degree in computer science, computer engineering, computer information systems, software engineering, or related area and 4 years' experience in software engineering or related area
Primary Location...Pardhanani Wilshire Ii, Cessna Business Park, Kadubeesanahalli Village, Varthur Hobli , India
