Senior AI/Machine Learning Engineer
Hyderabad
Genesys
Genesys is a leader for omnichannel customer experience & contact center solutions, trusted by 10,000+ companies in over 100 countries.Genesys empowers more than 7,500 organizations in over 100 countries to improve loyalty and business outcomes by creating the best experiences for customers and employees. Through Genesys Cloud, the #1 AI-powered experience orchestration platform, Genesys delivers the future of CX to organizations of all sizes so they can provide empathetic, personalized experiences at scale. As the trusted, all-in-one platform born in the cloud, Genesys Cloud accelerates growth for organizations by enabling them to differentiate with the right customer experience at the right time.
We employ more than 6,000 people across the globe who embrace empathy and cultivate collaboration to succeed. And, while we offer great benefits and perks like larger tech companies, our employees have the independence to make a larger impact on the company and take ownership of their work. Join the team and create the future of customer experience together.
About Genesys Digital & AI TeamThis is an exciting time to be part of Genesys DX Digital & AI Business Unit as we are innovating with speed and scale. You will be a key contributor to create the best cloud-based digital experience (DX) solution focusing on AI and providing an amazing end-to-end experience. As a part of Digital & 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.
About Role
We are looking for problem solvers to help us build next-generation platforms, products, and services. You will work closely with a cross-functional team of developers, researchers and product managers on microservices and event-driven architectures. You will have an opportunity to work as a part of the team that does practical research and contributes to the development of new features, identifies technical risks, and finds alternate solutions to various problems.
Major Responsibilities/Activities
- Design and deliver AI Platform Services in AWS including Machine Learning Engines, Model training, prototyping proof of concepts and data creation/manipulation for training.
- Hands on coding for various aspects for AI Platform Services.
- Collaborate with product managers, other cross functional teams and drive technical standard and best practices and continuously improve AI Platform Services.
- Coordinate the implementation among development teams to ensure system performance (latency and accuracy), security, scalability, and availability
About You
- 5+ years Industry experience with product development.
- Proven track record of a building products that scale and implementing complex, distributed software systems involving ML and Deep Learning Technologies.
- Strong expertise in Python/Java programming and solid understanding of OOPs and software engineering principles.
- Possess good understanding of designing and integrating REST APIs.
- Good understanding of AWS services e.g., EC2, S3, RDS, Load balancer, Cloud formation, VPC, R53, etc.
- Hands on experience in working on ML and Deep Learning Technologies, primarily in building and deploying large scale models
- Can quickly diagnose, analyse, and interpret data and issues using software analytics services such as New Relic and SumoLogic.
- Strong interpersonal and leadership skills with effective communication (both written and verbal) skills and the ability to present complex ideas in a clear & concise way, to different audiences. A team player with good work ethics.
Desirable skills
- Demonstrated experience in building models using ML Frameworks like PyTorch, Tensorflow, HuggingFace etc.
- Familiarity with modern web application/microservices framework like Spring boot, Flask, Node.
- Eager to keep abreast with new trends in CX and use of AI for automation.
#LI-GR1
#LI-Hybrid
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About Genesys:
Every year, Genesys orchestrates billions of remarkable customer experiences for organizations in more than 100 countries. Through the power of our cloud, digital and AI technologies, organizations can realize Experience as a Service™ our vision for empathetic customer experiences at scale. With Genesys, organizations have the power to deliver proactive, predictive, and hyper personalized experiences to deepen their customer connection across every marketing, sales, and service moment on any channel, while also improving employee productivity and engagement. By transforming back-office technology to a modern revenue velocity engine Genesys enables true intimacy at scale to foster customer trust and loyalty. Visit www.genesys.com.
Reasonable Accommodations:
If you require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you or someone you know may complete the Reasonable Accommodations Form for assistance. Please use the Candidate field in the dropdown menu to ensure a timely response.
This form is designed to assist job seekers who seek reasonable accommodation for the application process. Submissions entered for non-accommodation-related issues, such as following up on an application or submitting a resume, may not receive a response.
Genesys is an equal opportunity employer committed to equity 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.
Please note that recruiters will never ask for sensitive personal or financial information during the application phase.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Architecture AWS Chatbots CX Deep Learning EC2 Engineering Flask HuggingFace Java Machine Learning Microservices Model training Prototyping Python PyTorch Research Security TensorFlow
Perks/benefits: Career development Team events
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