About Us
Automation Anywhere is a leader in AI-powered process automation that puts AI to work across organizations. The company’s Automation Success Platform is powered with specialized AI, generative AI and offers process discovery, RPA, end-to-end process orchestration, document processing, and analytics, with a security and governance-first approach. Automation Anywhere empowers organizations worldwide to unleash productivity gains, drive innovation, improve customer service and accelerate business growth. The company is guided by its vision to fuel the future of work by unleashing human potential through AI-powered automation. Learn more at www.automationanywhere.com
We are seeking an experienced Machine Learning Engineer with atleast 5 years of experience to join our team. The ideal candidate will have a strong background in designing, developing, and implementing machine learning models using Python and Pytorch with specific expertise in Natural Language Processing (NLP) and a basic understanding of Generative AI (GenAI). This role will focus on developing innovative solutions within automation domain, leveraging advanced data pipeline management and deployment skills.
Key Responsibilities
Design, Develop, and Implement Machine Learning Models:
- Create and fine-tune machine learning models using Python, PyTorch
- Utilize expertise in NLP and Vision to develop innovative solutions
Generative AI Applications: - Good understanding of Large Language models and Transformer architecture
Collaboration and Teamwork: - Collaborate with cross-functional teams including data science, engineering, and product teams.
Continuous Learning: - Stay up-to-date on the latest advancements in machine learning, NLP, and related technologies.
- Incorporate new knowledge and techniques into ongoing projects.
Required Skills and Expertise: - Python and PyTorch: Expert level proficiency in Python programming.
- Object-Oriented Programming (OOP) and Unit Testing: Expert in OOP principles and unit test-driven development methodologies.
- Natural Language Processing (NLP): Advanced experience in NLP techniques and applications.
- Generative AI (GenAI): Good understanding of Transformers and its architecture
Preferred Qualifications: - Masters degree in Computer Science or related field
- Strong problem-solving skills and the ability to work independently.
- Excellent communication skills and the ability to articulate complex concepts to non-technical stakeholders.
- Ability to work in a fast-paced and dynamic environment.
All unsolicited resumes submitted to any @automationanywhere.com email address, whether submitted by an individual or by an agency, will not be eligible for an agency fee.
Top Skills
What We Do
Welcome to Automation Anywhere. We’re on a singular and unwavering mission to democratize automation and create a better future for everyone, liberating people from mundane, repetitive tasks, and allowing them more time to use their intellect and creativity.
With 2.8M bots deployed at customers in 90 countries, and a network of over 2100 partners, we are a leader in the Gartner Magic Quadrant, and our AI-powered digital workforce platform optimizes the business processes of the world's largest enterprises and governments in virtually every industry including 85% of the top banks and financial institutions, 90% of the top healthcare institutions, 85% of the top technology companies, and 80% of the top telecom companies.
Industry Awards and highlights:
· Named a leader each year of Gartner Magic Quadrant for Robotic Process Automation
· Named a Leader in Forrester Wave
· Named a Leader and Star Performer in Everest Peak Matrix
· Named a Leader in Nelson Hall NEAT Intelligent Automation Report
· G2 Crowd 2020 Best Software Company
· First Cloud-native digital workforce platform
· 850+ pre-built, intelligent automation solutions
· Bot security and IP protection
· SaaS packages
· Over 1.4M courses completed in Automation Anywhere University
· Free AI-powered Community edition
Try the world’s most advanced digital workforce platform today: https://bit.ly/startRPAtoday
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