Associate AI/ML Engineer
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- 220002GK Requisition #
Job Description
Job Title: AI/Machine Learning Engineer
Department & Team: Genesys Digital & AI, Applied Research Group
Location: Hyderabad
About Genesys Digital & AI Team
This 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 NLP models for AI Platform Services
- Work on prototyping proof of concepts and data creation/manipulation for training.
- Understand ML frameworks (Tensorflow, HuggingFace) and extend them for various NLP tasks for fine tuning models
- Hands on coding for various aspects for AI Platform Services.
- Collaborate with product managers, other cross functional teams and continuously improve AI Platform Services.
- Collaborate with other development teams to ensure system performance (latency and accuracy), security, scalability, and availability.
About You
- 3+ years Industry experience with research and product development.
- Strong expertise in Python programming and solid understanding of OOPs and software engineering principles.
- Good understanding of REST API’s. Design and deliver API’s using Flask/Django.
- Solid understanding and hands on experience on various NLP techniques including data collection and training large datasets.
- Have good understanding of Transformer based language models and hands on experience on fine tuning them for various applications. Demonstrated experience in building models using ML Frameworks like PyTorch, Tensorflow, HuggingFace etc.
- Ability to work independently and design experiments with end goal in mind, analyze and interpret results.
- Strong interpersonal and 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
- Good understanding of Cloud fundamentals and services, preferably AWS services.
- Familiarity with modern web application/microservices framework like Spring boot, Node.
- Eager to keep abreast with new trends in CX and use of AI for automation.
#LI-GR1
Reasonable Accommodations:
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About Genesys:
Every year, Genesys® orchestrates more than 70 billion 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
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.
Please note that recruiters will never ask for sensitive personal or financial information during the application phase.