Job Location: Bangalore
Full Time
Job Description
What will you do?
- Work closely with product, data science and software engineering team on the delivery of scalable and real-time machine learning system
- Design, implement, evaluate, deploy and monitor the machine learning infrastructure
- Enable systems to score hundreds of machine learning models in parallel and real-time
Roles & Responsibilities
What will you do?
- Work closely with product, data science and software engineering team on the delivery of scalable and real-time machine learning system
- Design, implement, evaluate, deploy and monitor the machine learning infrastructure
- Enable systems to score hundreds of machine learning models in parallel and real-time
- Setup and build components to automate the machine learning life cycle, including model management, automated model retraining based on continuous model evaluation and deployment
- Design and build components for automatic set up and evaluation of A/B testing experiments
- Build and maintain innovative machine learning model training, scoring & evaluation libraries – for use in production environment
What will you bring along?
- Motivation to build products that delight our customers
- A mindset of continuous learning, willingness to share knowledge and learn from others
- Ability to innovate and find solutions to complex problems
- A perfect balance between being a strong individual contributor and an empathic team player
- Ability to communicate effectively with different stakeholders in the company
What do you need to have?
- Strong hands-on experience in developing, setting up and maintaining a machine learning infrastructure in cloud and on premise
- Knowledge of components/tools/blueprints to support scalable, resilient and flexible infrastructures supporting data driven functionalities (e.g. based on deep learning)
- Experience working in an environment that supports machine learning modeling and real-time scoring and/or its integration into a product
- Hands on experience in working with distributed systems in a real production setting
- Familiar with standard software engineering methodology, e.g. unit testing, code reviews, design documentation as well as agile working modes and team setups
- Familiar with the best practices of system and online service design – e.g. monitoring and observability, making informed performance trade-offs, maintainability and extensibility, etc.
- Bachelors (or higher) in Machine Learning, Data Science, Computer Science, Statistics, Applied Mathematics or another related field
What can you expect working with us?
We take a long-term commitment when it comes to our employees. You will develop your career working in one or more innovation projects of Deutsche Telekom Group, exploring the latest trends and technologies which enable the product development process. You will grow not only your knowledge, but also your network, by interacting with a wide group of experts in areas such as Software Development, Data Science, Artificial Intelligence and Customer Experience.
What else we offer
- Open and friendly working environment
- Competitive remuneration package
- Private Health insurance
Eligibility
Bachelor’s/Master’s
Company Introduction
Accolite Digital is a leading digital transformation services provider that delivers design-led, complex digital transformation initiatives to Fortune 500 clients. Our differentiated services span digital product engineering, cloud and DevOps, data and AI, customer experience, cyber security, and design services. Accolite Digital provides these services to the banking and financial services, insurance, technology, media and telecom, healthcare, and logistics industries. With more than 2,600 professionals globally, Accolite has presence across the United States, Canada, Mexico, Europe, and India, with digital labs in Bangalore, Hyderabad, Gurugram, and Chennai.
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