AI/Machine Learning Engineer

Company:
Location: Madhapur, Hyderabad, Telangana

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Job Title: AI/Machine Learning Engineer

Department & Team: GENESYS CLOUD - AI

Location: Hyderabad

Summary:

This is an exciting time to be part of Applied Research group as we are innovating with speed and scale. You will be a key contributor to create the best cloud-based customer experience (CX) solution focusing on AI and providing an amazing end-to-end experience. As a part of Conversational AI team, you will help us builds Genesys core AI capabilities including Speech Understanding, Natural Language Understanding, and processing, chatbots, voicebots, knowledge surfacing etc., to power the next generation of Genesys products.

Key Responsibilities:

We are looking for problem solvers to help us research and build next-generation platforms, products, and services. You will work closely with a cross-functional team of researchers and engineers on microservices and event-driven architectures. You will have an opportunity to work as a part of the team that contributes to the research and development of new features, identifies technical risks, and finds alternate solutions to various problems.

Minimum Requirements:

  • Bachelor's or Masters’s degree in Computer Science, or related technical field with 3-5 years Industry experience with product development.
  • Proficient full stack developer interested to work on tech stack that primarily uses Python, Java, and JavaScript.
  • Have a thorough understanding of Serverless Architecture and event-driven services as well as designing and implementing REST APIs.
  • Experience in working with AWS/Azure services and good understanding of Cloud development fundamentals
  • Research or Industry experience in Artificial Intelligence, Machine Learning (ML) models, ML infrastructure, Natural Language Processing or Deep Learning.
  • Comfortable developing and deploying in Linux (Ubuntu), cloud-hosting (AWS/Azure) and Docker.
    Have experience and interested in analysing and solving performance issues at scale.

Desirable Skills:

  • Familiarity with modern web application/microservices framework like spring boot, flask.
  • Familiarity with AWS services e.g., EC2, S3, RDS, Load balancer, Cloud formation, VPC, R53 etc.
  • Keen to learn new algorithms, new application areas and new tools.
  • Exposure to development of AI/ML as a SaaS in cloud and managing infrastructure.
  • Interested in tinkering with AI and ML frameworks like TensorFlow, and PyTorch.
  • Experience in building, deploying, and improving Machine Learning models and algorithms in real-world products.

Covid-19



Safety for our employees and our communities is a key priority for Genesys. We continue to experience rapid growth during the Covid-19 pandemic and are conducting remote hiring and onboarding processes. All hiring and onboarding processes are being conducted remotely at this time. We utilize Zoom video meetings and phone calls during the interview process. We will be working remotely through at least June 30, 2021, in most locations, and we are re-evaluating the opening date of all the Genesys offices on an ongoing basis.

About Us:

Every year, Genesys® delivers more than 70 billion remarkable customer experiences for organizations in over 100 countries. Through the power of the cloud and AI, our technology connects every customer moment across marketing, sales and service on any channel, while also improving employee experiences. Genesys pioneered Experience as a Service℠ so organizations of any size can provide true personalization at scale, interact with empathy, and foster customer trust and loyalty. This is enabled by Genesys Cloud™, an all-in-one solution and the world's leading public cloud contact center platform, designed for rapid innovation, scalability and flexibility. Visit www.genesys.com.
Genesys is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics.

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